Alternatives to Graphlytic
Compare Graphlytic alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Graphlytic in 2026. Compare features, ratings, user reviews, pricing, and more from Graphlytic competitors and alternatives in order to make an informed decision for your business.
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Minitab Statistical Software
Minitab
For 50 years, Minitab has helped thousands of companies and institutions spot trends, solve problems, and discover valuable insights in their data through our comprehensive, best-in-class suite of data analysis and process improvement tools. Our namesake product, Minitab Statistical Software, leads the way in data analysis with the power to visualize, analyze and harness your data to gain insights and solve your toughest challenges. Access trusted, proven and modern analytics combined with dynamic visualizations to empower you and your decisions. The latest version of Minitab Statistical Software includes access to Minitab on the cloud so you can analyze from anywhere, and Graph Builder, our new interactive tool to instantly create multiple graph options at once. Minitab offers modules for Predictive Analytics and Healthcare to boost your analytics even further. Available in 8 languages: English, Chinese, French, German, Japanese, Korean, Spanish, and Portuguese. -
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JMP Statistical Software
JMP Statistical Discovery
JMP, data analysis software for Mac and Windows, combines the strength of interactive visualization with powerful statistics. Importing and processing data is easy. The drag-and-drop interface, dynamically linked graphs, libraries of advanced analytic functionality, scripting language and ways of sharing findings with others, allows users to dig deeply into their data, with greater ease and speed. Originally developed in the 1980’s to capture the new value in GUI for personal computers, JMP remains dedicated to adding cutting-edge statistical methods and special analysis techniques from a variety of industries to the software’s functionality with each release. The organization's founder, John Sall, still serves as Chief Architect.Starting Price: $1320/year/user -
3
AllegroGraph
Franz Inc.
AllegroGraph is a breakthrough solution that allows infinite data integration through a patented approach unifying all data and siloed knowledge into an Entity-Event Knowledge Graph solution that can support massive big data analytics. AllegroGraph utilizes unique federated sharding capabilities that drive 360-degree insights and enable complex reasoning across a distributed Knowledge Graph. AllegroGraph provides users with an integrated version of Gruff, a unique browser-based graph visualization software tool for exploring and discovering connections within enterprise Knowledge Graphs. Franz’s Knowledge Graph Solution includes both technology and services for building industrial strength Entity-Event Knowledge Graphs based on best-of-class tools, products, knowledge, skills and experience. -
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KgBase
KgBase
KgBase, or Knowledge Graph Base, is a collaborative, robust database with versioning, analytics & visualizations. With KgBase, any community or individual can create knowledge graphs to build insights about their data. Import your CSVs and spreadsheets, or use our API to work on data together. Build no-code knowledge graphs with KgBase, our easy-to-use UI lets you traverse the graph, show the results as tables and charts, and much more. Play with your graph data. Build your query and see results update in real time. It's like writing query code in Cypher or Gremlin, except easier. And fast. Your graph can be viewed as a table, allowing you to browse all results - no matter the size. KgBase works great with large graphs (millions of nodes), as well as simple projects. In the cloud, or self-hosted, with wide database support. Introduce graphs into your organization by seeding graph from a template. Results of any query can be easily turned into a chart visualization.Starting Price: $19 per month -
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Neo4j
Neo4j
Neo4j’s graph data platform is purpose-built to leverage not only data but also data relationships. Using Neo4j, developers build intelligent applications that traverse today's large, interconnected datasets in real time. Powered by a native graph storage and processing engine, Neo4j’s graph database delivers an intuitive, flexible and secure database for unique, actionable insights. -
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Amazon Neptune
Amazon
Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency. Amazon Neptune supports popular graph models Property Graph and W3C's RDF, and their respective query languages Apache TinkerPop Gremlin and SPARQL, allowing you to easily build queries that efficiently navigate highly connected datasets. Neptune powers graph use cases such as recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security. Proactively detect and investigate IT infrastructure using a layered security approach. Visualize all infrastructure to plan, predict and mitigate risk. Build graph queries for near-real-time identity fraud pattern detection in financial and purchase transactions. -
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Locstat
Locstat
Locstat is a graph intelligence platform with customer-driven industry and point solutions, incorporating graph-based AI, analytics and event processing, that enables organizations to rapidly scale next-generation data solutions. Research shows that by adopting innovative, AI-supported digitalization strategies an organization can realize considerable benefits and gains. We have achieved great success in improving customer efficiencies and delivered significant ROI as measured by us and confirmed by research companies. This illustrates the value of next-generation advanced analytics technologies in solving today’s complex problems more cost-effectively than solutions driven by relational databases. -
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Apache TinkerPop
Apache Software Foundation
Apache TinkerPop™ is a graph computing framework for both graph databases (OLTP) and graph analytic systems (OLAP). Gremlin is the graph traversal language of Apache TinkerPop. Gremlin is a functional, data-flow language that enables users to succinctly express complex traversals on (or queries of) their application's property graph. Every Gremlin traversal is composed of a sequence of (potentially nested) steps. A graph is a structure composed of vertices and edges. Both vertices and edges can have an arbitrary number of key/value pairs called properties. Vertices denote discrete objects such as a person, a place, or an event. Edges denote relationships between vertices. For instance, a person may know another person, have been involved in an event, and/or have recently been at a particular place. If a user's domain is composed of a heterogeneous set of objects (vertices) that can be related to one another in a multitude of ways (edges).Starting Price: Free -
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ReGraph
Cambridge Intelligence
Build game-changing React graph visualization products that turn connected data into insight. With ReGraph’s simple data-driven API, it’s quick and easy to add graph visualizations to your React applications. Ship custom, high-performance graph visualization to your users, wherever they are. For React developers, ReGraph offers a simple and clean coding experience. It has familiar logic, easy state handling, and well-documented props. You can choose where your data is stored, and how the component looks and behaves. It works in any browser, on any device, and integrates readily with any server or database. It’s a completely flexible way to build a custom React graph visualization application. ReGraph makes it easy to build powerful React graph visualization applications. Everything has been carefully optimized for performance, from its layout algorithms to its supercharged graphics rendering engine. -
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KeyLines
Cambridge Intelligence
Build game-changing graph visualization products that turn connected data into insight. Harness JavaScript’s power and flexibility to quickly and easily build graph visualization applications that can be deployed anywhere, to anyone. KeyLines is a completely flexible way to build your graph visualization application. Build interactive graph visualization tools to reveal threats and hidden insight. The KeyLines JavaScript graph visualization toolkit lets you build applications specifically for your users, your data, and the questions you need to answer. It fits with any browser, device, server, or database and comes with clear tutorials, demos, and API documentation. Combined with our developer support, you’ll be uncovering network insight in no time. KeyLines makes it easy to build high-performance JavaScript graph visualization tools that work anywhere. They harness HTML5 and WebGL graphics rendering and thoughtfully crafted code to give users fast and insightful visualization. -
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HugeGraph
HugeGraph
HugeGraph is a fast-speed and highly-scalable graph database. Billions of vertices and edges can be easily stored into and queried from HugeGraph due to its excellent OLTP ability. As compliance to Apache TinkerPop 3 framework, various complicated graph queries can be accomplished through Gremlin (a powerful graph traversal language). Among its features, it provides compliance to Apache TinkerPop 3, supporting Gremlin. Schema Metadata Management, including VertexLabel, EdgeLabel, PropertyKey and IndexLabel. Multi-type Indexes, supporting exact query, range query and complex conditions combination query. Plug-in Backend Store Driver Framework, supporting RocksDB, Cassandra, ScyllaDB, HBase and MySQL now and easy to add other backend store driver if needed. Integration with Hadoop/Spark. HugeGraph relies on the TinkerPop framework, we refer to the storage structure of Titan and the schema definition of DataStax. -
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Cayley
Cayley
Cayley is an open-source database for Linked Data. It is inspired by the graph database behind Google's Knowledge Graph (formerly Freebase). Cayley is an open-source graph database designed for ease of use and storing complex data. Built-in query editor, visualizer and REPL. Cayley can use multiple query languages like Gizmo, a query language inspired by Gremlin, GraphQL-inspired query language, MQL a simplified version for Freebase fans. Cayley is modular, easy to connect to your favorite programming languages and back-end stores, production ready, well tested and used by various companies for their production workloads and fast with optimized specifically for usage in applications. Rough performance testing shows that, on 2014 consumer hardware and an average disk, 134m quads in LevelDB is no problem and a multi-hop intersection query- films starring X and Y - takes ~150ms. Cayley is configured by default to run in memory (That's what backend memstore means). -
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metaphactory
metaphacts
metaphactory transforms your data into consumable, contextual & actionable knowledge and drives continuous decision intelligence. Out-of-the-box, intuitive interfaces for searching, browsing & exploring your Knowledge Graph. Low-code approach to building custom interfaces that enable business-user interaction with the Knowledge Graph. Start small, iterate often & add new use cases, new data and new users on the fly. Agile knowledge management & low-code platform for building applications. -
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FalkorDB
FalkorDB
FalkorDB is an ultra-fast, multi-tenant graph database optimized for GraphRAG, delivering accurate, relevant AI/ML results with reduced hallucinations and enhanced performance. It leverages sparse matrix representations and linear algebra to efficiently handle complex, interconnected data in real-time, resulting in fewer hallucinations and more accurate responses from large language models. FalkorDB supports the OpenCypher query language with proprietary enhancements, enabling expressive and efficient querying of graph data. It offers built-in vector indexing and full-text search capabilities, allowing for complex searches and similarity matching within the same database environment. FalkorDB's architecture includes multi-graph support, enabling multiple isolated graphs within a single instance, ensuring security and performance across tenants. It also provides high availability with live replication, ensuring data is always accessible. -
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ArcadeDB
ArcadeDB
ArcadeDB is an open-source, next-generation multi-model database. Forget Polyglot Persistence — store graphs, documents, key-value pairs, search engine indexes, vectors, and time-series data all in one database with native support for every model. No translation layers, no performance penalties. Process over 10 million records per second. Traversal speed stays constant whether your database has hundreds or billions of records. Query in the language you prefer: SQL, Cypher, Gremlin, GraphQL, MongoDB API, or Java. Deploy ArcadeDB embedded in your JVM application, on a standalone server, or distributed across multiple nodes with Raft Consensus for high availability. Fully ACID-compliant. Super lightweight. Apache 2.0 licensed — free for production and commercial use.Starting Price: Free -
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Oracle Spatial and Graph
Oracle
Graph databases, part of Oracle’s converged database offering, eliminate the need to set up a separate database and move data. Analysts and developers can perform fraud detection in banking, find connections and link to data, and improve traceability in smart manufacturing, all while gaining enterprise-grade security, ease of data ingestion, and strong support for data workloads. Oracle Autonomous Database includes Graph Studio, with one-click provisioning, integrated tooling, and security. Graph Studio automates graph data management and simplifies modeling, analysis, and visualization across the graph analytics lifecycle. Oracle provides support for both property and RDF knowledge graphs, and simplifies the process of modeling relational data as graph structures. Interactive graph queries can run directly on graph data or in a high-performance in-memory graph server. -
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Kibana
Elastic
Kibana is a free and open user interface that lets you visualize your Elasticsearch data and navigate the Elastic Stack. Do anything from tracking query load to understanding the way requests flow through your apps. Kibana gives you the freedom to select the way you give shape to your data. With its interactive visualizations, start with one question and see where it leads you. Kibana core ships with the classics: histograms, line graphs, pie charts, sunbursts, and more. And, of course, you can search across all of your documents. Leverage Elastic Maps to explore location data, or get creative and visualize custom layers and vector shapes. Perform advanced time series analysis on your Elasticsearch data with our curated time series UIs. Describe queries, transformations, and visualizations with powerful, easy-to-learn expressions. -
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NodeXL
Social Media Research Foundation
NodeXL is a template for Microsoft® Excel® (2007, 2010, 2013 and 2016) on Windows (XP, Vista, 7, 8, 10) that lets you enter a network edge list into a workbook, click a button, see a network graph, and get a detailed summary report, all in the familiar environment of the Excel® spreadsheet application. Customize the network graph's appearance. Zoom, scale and pan the graph. Calculate basic graph metrics. Dynamically filter vertices and edges. Alter the graph's layout. Find clusters of related vertices. The NodeXL Pro application can be licensed for a 12 month period, adding additional features. Calculate advanced graph metrics. Import and export graphs to a variety of file formats. Get social networks using built-in connections to Twitter, Facebook, Flickr, YouTube, Wikis, Blogs, Instagram, Network Surveys, and email. Automate network graph collection and creation. If you use Excel® on Windows you can download and use NodeXL Basic now. Or license NodeXL Pro for additional features.Starting Price: $749 per year -
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GraphDB
Ontotext
*GraphDB allows you to link diverse data, index it for semantic search and enrich it via text analysis to build big knowledge graphs.* GraphDB is a highly efficient and robust graph database with RDF and SPARQL support. The GraphDB database supports a highly available replication cluster, which has been proven in a number of enterprise use cases that required resilience in data loading and query answering. If you need a quick overview of GraphDB or a download link to its latest releases, please visit the GraphDB product section. GraphDB uses RDF4J as a library, utilizing its APIs for storage and querying, as well as the support for a wide variety of query languages (e.g., SPARQL and SeRQL) and RDF syntaxes (e.g., RDF/XML, N3, Turtle). -
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TigerGraph
TigerGraph
Through its Native Parallel Graph™ technology, the TigerGraph™ graph platform represents what’s next in the graph database evolution: a complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time. Combining the best ideas (MapReduce, Massively Parallel Processing, and fast data compression/decompression) with fresh development, TigerGraph delivers what you’ve been waiting for: the speed, scalability, and deep exploration/querying capability to extract more business value from your data. -
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Tom Sawyer Perspectives
Tom Sawyer Software
Tom Sawyer Perspectives is a robust platform for building enterprise-class graph and data visualization and analysis applications. It is a complete graph visualization software development kit (SDK) with a graphics-based design and preview environment. The platform integrates enterprise data sources with our powerful graph visualization, layout, and analysis technology to solve big data problems. Tom Sawyer Perspectives enables developers to quickly develop production-quality data-oriented visualization applications. Two graphic modules—the Designer and Previewer—are used to build applications to visualize and analyze the specific data that drives each project. Using the Designer, developers extract or define schema, data sources, bindings, rules, views, filters, and searches. Additionally, they can also use the Designer to specify custom toolbars, tooltips, context menus, and graphical viewing and editing behaviors. -
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JanusGraph
JanusGraph
JanusGraph is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. JanusGraph is a project under The Linux Foundation, and includes participants from Expero, Google, GRAKN.AI, Hortonworks, IBM and Amazon. Elastic and linear scalability for a growing data and user base. Data distribution and replication for performance and fault tolerance. Multi-datacenter high availability and hot backups. All functionality is totally free. No need to buy commercial licenses. JanusGraph is fully open source under the Apache 2 license. JanusGraph is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time. Support for ACID and eventual consistency. In addition to online transactional processing (OLTP), JanusGraph supports global graph analytics (OLAP) with its Apache Spark integration. -
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Automatic Grapher
Dataview Software
Automatic Grapher is database software that automatically generates graphs for all your data. Easily import your data from Microsoft Excel and generate 8 different types of graphs. No database experience is required to develop and maintain new databases. Once data has been imported to the database you can instantly generate statistics, graphs and reports. With a click of the button, you can instantly create graphs to jpg, word or pdf files. Save valuable time compared to using Microsoft Excel and Access to create and update your graphs. Complete data management solution that is simple to use. Organize data from different sources and easily import using one of several different methods using Excel spreadsheets. Improve data quality by checking data for outliers or errors then analyze using statistics and graphs. Export results to pdf, jpg, or Excel files. Manage unlimited databases for different projects. Improve your data management using Automatic Grapher!Starting Price: $99 per license -
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InfiniteGraph
Objectivity
InfiniteGraph is a massively scalable graph database specifically designed to excel at high-speed ingest of massive volumes of data (billions of nodes and edges per hour) while supporting complex queries. InfiniteGraph can seamlessly distribute connected graph data across a global enterprise. InfiniteGraph is a schema-based graph database that supports highly complex data models. It also has an advanced schema evolution capability that allows you to modify and evolve the schema of an existing database. InfiniteGraph’s Placement Management Capability allows you to optimize the placement of data items resulting in tremendous performance improvements in both query and ingest. InfiniteGraph has client-side caching which caches frequently used node and edges. InfiniteGraph's DO query language enables complex "beyond graph" queries not supported by other query languages. -
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PuppyGraph
PuppyGraph
PuppyGraph empowers you to seamlessly query one or multiple data stores as a unified graph model. Graph databases are expensive, take months to set up, and need a dedicated team. Traditional graph databases can take hours to run multi-hop queries and struggle beyond 100GB of data. A separate graph database complicates your architecture with brittle ETLs and inflates your total cost of ownership (TCO). Connect to any data source anywhere. Cross-cloud and cross-region graph analytics. No complex ETLs or data replication is required. PuppyGraph enables you to query your data as a graph by directly connecting to your data warehouses and lakes. This eliminates the need to build and maintain time-consuming ETL pipelines needed with a traditional graph database setup. No more waiting for data and failed ETL processes. PuppyGraph eradicates graph scalability issues by separating computation and storage.Starting Price: Free -
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G.V() Gremlin IDE
gdotv Ltd
G.V() is an all-in-one Gremlin IDE to write, debug, test and analyze results for your Gremlin graph database. It offers rich a UI with smart autocomplete, graph visualization, editing and connection management. G.V() automatically detects your connection setting requirements based on the hostname you provide and prompts you for the next required information for an easy onboarding experience, regardless of which Gremlin database you're using. Load, visualize and draw your graph in true “What You See Is What You Get” fashion to build, test, visualize and query your data easily. Learn Gremlin with the embedded documentation and G.V()'s in-memory graph. View your Gremlin query results in various formats allowing to test, navigate and understand your query results rapidly. Compatible with all major Apache TinkerPop enabled Graph Database Providers: Amazon Neptune, Azure Cosmos DB’s Gremlin API, DataStax Enterprise Graph, JanusGraph, ArcadeDB, Aliyun TairForGraph and Gremlin Server. -
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TIBCO Graph Database
TIBCO
To unveil the true value of constantly evolving business data, you need to understand the relationships in data in a much more profound way. Unlike other databases, a graph database puts relationships at the forefront, using Graph theory and Linear Algebra to traverse and show how complex data webs, data sources, and data points relate. TIBCO® Graph Database allows you to discover, store, and convert complex dynamic data into meaningful insights. Enable users to rapidly build data and computational models that establish dynamic relationships among organizational silos. These knowledge graphs deliver value by connecting your organization’s vast array of data and revealing relationships that let you accelerate optimization of assets and processes. Combined OLTP and OLAP features in a single enterprise-grade database. Optimistic ACID level transaction properties with native storage and access. -
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Nebula Graph
vesoft
The graph database built for super large-scale graphs with milliseconds of latency. We are continuing to collaborate with the community to prepare, popularize and promote the graph database. Nebula Graph only allows authenticated access via role-based access control. Nebula Graph supports multiple storage engine types and the query language can be extended to support new algorithms. Nebula Graph provides low latency read and write , while still maintaining high throughput to simplify the most complex data sets. With a shared-nothing distributed architecture , Nebula Graph offers linear scalability. Nebula Graph's SQL-like query language is easy to understand and powerful enough to meet complex business needs. With horizontal scalability and a snapshot feature, Nebula Graph guarantees high availability even in case of failures. Large Internet companies like JD, Meituan, and Xiaohongshu have deployed Nebula Graph in production environments. -
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Lumenn AI
Lumenn AI
Lumenn AI provides a no-code environment for non-technical employees to extract and leverage enterprise data. Through natural language instructions, complex data is transformed into accessible visual graphs with AI-driven insights. Customizable dashboards empower any user to create, manage, and share BI assets. -
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CanvasJS Charts
Fenopix Technologies
JavaScript Charting Library with 10x better performance & a simple API. You can easily integrate our JS Charts with popular Frameworks like React, Angular, Vue, etc. The library comes with 30+ chart types including line, column, bar, area, pie, doughnut, stacked, etc. Graphs support various interactive features like tooltips, zooming, panning, animation, events, drill-down, exporting and can easily be integrated with various server-side technologies like PHP, Ruby, Python, ASP.Net, Node.JS, Java, etc. To top it all off, it can easily render thousands of data points without any performance lag. CanvasJS supports 30 different types of Charts and renders across devices including iPhone, iPad, Android, Mac & PCs. This allows you to create rich dashboards that work across devices without compromising on maintainability or functionality of your web application. -
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Centrifuge Analytics
Culmen Internal LLC
Centrifuge Analytics™ is a big data discovery technology that provides the power and flexibility to connect, visualize and collaborate without complex data integration, costly services or a data science degree. It combines sophisticated link-analysis, interactive visualizations and discovery features to dramatically simplify data pattern and connection recognition. - First and foremost, a fully integrated solution that empowers analysts to work with no IT support - Sophisticated link-analysis features such as pattern Identification, intelligent bundling and various unique visual interactive features - 100% Browser footprint ensures no client-side data retention that simplifies security and client administration Patent-pending server-side rendering engine enables highly scalable network graphs Agile data integration – No need to stage, warehouse or apply a fixed ontology Model-based analytics – Setup once and reuse – build upon the experience of more seasoned analystsStarting Price: Call -
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Insite Analytics
Fortra
IT can set up data sources quickly and easily, right from the interface... then get back to their own projects while the business user takes over. See data from all sources in a graph, chart, or table on a single dashboard, all updating in real time. Make informed business decisions based on the most current intelligence in an easily digestible, widely accessible format. To make informed decisions for your business, you need timely, accurate, clear data at your fingertips. Requesting reports through your IT department and combining them manually to draw conclusions is time-consuming and often ineffective. Insite Analytics allows IT to build queries in minutes from any data source. Data from queries can be visualized on the business user's dashboard in whatever way best represents the data. -
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AnzoGraph DB
Cambridge Semantics
With a huge collection of analytical features, AnzoGraph DB can enhance your analytical framework. Watch this video to learn how AnzoGraph DB is a Massively Parallel Processing (MPP) native graph database that is built for data harmonization and analytics. Horizontally scalable graph database built for online analytics and data harmonization. Take on data harmonization and linked data challenges with AnzoGraph DB, a market-leading analytical graph database. AnzoGraph DB provides industrialized online performance for enterprise-scale graph applications. AnzoGraph DB uses familiar SPARQL*/OWL for semantic graphs but also supports Labeled Property Graphs (LPGs). Access to many analytical, machine learning and data science capabilities help you achieve new insights, delivered at unparalleled speed and scale. Use context and relationships between data as first-class citizens in your analysis. Ultra-fast data loading and analytical queries. -
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GraphBase
FactNexus
GraphBase is a Graph Database Management System (Graph DBMS) engineered to simplify the creation and maintenance of complex data graphs. Complex and highly-connected structures are a challenge for the Relational Database Management System (RDBMS). A graph database provides much better modelling utility, performance and scalability. The current crop of graph database products - the triplestores and property graphs - have been around for nearly two decades. They're powerful tools, they have many uses, but they're still not suited to the management of complex data structures. With GraphBase, our goal was to simplify the management of complex data structures, so that your data could become something more. It could become Knowledge. We achieved this by redefining how graph data should be managed. In GraphBase, the graph is a first-class citizen. You get a graph equivalent of the "rows and tables" paradigm that makes a Relational Database so easy to use. -
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Memgraph
Memgraph
Memgraph offers a light and powerful graph platform comprising the Memgraph Graph Database, MAGE Library, and Memgraph Lab Visualization. Memgraph is a dynamic, lightweight graph database optimized for analyzing data, relationships, and dependencies quickly and efficiently. It comes with a rich suite of pre-built deep path traversal algorithms and a library of traditional, dynamic, and ML algorithms tailored for advanced graph analysis, making Memgraph an excellent choice in critical decision-making scenarios such as risk assessment (fraud detection, cybersecurity threat analysis, and criminal risk assessment), 360-degree data and network exploration (Identity and Access Management (IAM), Master Data Management (MDM), Bill of Materials (BOM)), and logistics and network optimization. -
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BioVinci
BioVinci
BioVinci automatically runs state-of-the-art methods and recommends the best one to visualize your high-dimensional data. Explore high-dimensional data using machine learning algorithms: dimensionality reduction and feature selection. Convert massive datasets into speaking graphics without coding. Visualize research results using various graph types and customization options. The software allows scientists, without programming experiences, to quickly apply state-of-the-art machine learning techniques on their data and elegantly visualize the results to gain insights, otherwise, difficult to obtain. We specially focus on the design of BioVinci 2.0 to make it friendly even for first-time users. While having a wide range of plot configurations to serve different needs of users, we hope to bring the aesthetics, simplicity, interactive, publication-ready, and information revealing in every plot. -
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RecallGraph
RecallGraph
RecallGraph is a versioned-graph data store - it retains all changes that its data (vertices and edges) have gone through to reach their current state. It supports point-in-time graph traversals, letting the user query any past state of the graph just as easily as the present. RecallGraph is a potential fit for scenarios where data is best represented as a network of vertices and edges (i.e., a graph) having the following characteristics: 1. Both vertices and edges can hold properties in the form of attribute/value pairs (equivalent to JSON objects). 2. Documents (vertices/edges) mutate within their lifespan (both in their individual attributes/values and in their relations with each other). 3. Past states of documents are as important as their present, necessitating retention and queryability of their change history. Also see this blog post for an intro - https://blog.recallgraph.tech/never-lose-your-old-data-again. -
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Questica OpenBook
Questica
Questica OpenBook is a transparency and data visualization software that enables organizations to share their financial and other data, when and where they need to. Questica OpenBook, our data visualization software can help you build transparency and trust by communicating your data visually. Present financial and non-financial data with descriptive text, informational pop-ups, charts, and graphs. The searching, filtering, and sorting tools allow you to find the right information faster. Now everyone can dive in and discover information that was once hidden in printed reports or complex spreadsheets. Questica’s OpenBook Project Explorer visualization for Capital Budgets allows organizations to display on a map every infrastructure project, including the budget, actual spending, funding sources, and accompanying documentation, images, video, etc. Explore our sample OpenBook visualizations at: Open City, Open Education (Higher Education), Open Healthcare, Open Non-profit, etc. -
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Dgraph
Hypermode
Dgraph is an open source, low-latency, high throughput, native and distributed graph database. Designed to easily scale to meet the needs of small startups as well as large companies with massive amounts of data, DGraph can handle terabytes of structured data running on commodity hardware with low latency for real time user queries. It addresses business needs and uses cases involving diverse social and knowledge graphs, real-time recommendation engines, semantic search, pattern matching and fraud detection, serving relationship data, and serving web apps. -
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Vizzboard
Vizzboard
Vizzboard is 100% web-based data visualization software that allows non-expert users to design their own reporting and analysis tools without the help of technical experts. You connect to the app using a browser and import your data into Vizzboard through specific connectors - your data is automatically processed and transformed to create data models specific to your business. The intuitive and ergonomic interface has been designed for non-technical users - we help you choose the most suitable graph , the construction of dashboards is done by simple drag & drop, you can customize your visualizations and make presentations elegant. -
41
StatPlanet Cloud
StatSilk
Gain unprecedented insights into your data using StatPlanet Cloud, the next iteration of our award-winning StatPlanet visualization and mapping software. StatPlanet Cloud is cross-platform (HTML5/JavaScript-based). It can be accessed through a web-browser from any device, whether a PC, Mac, mobile or tablet. StatPlanet Cloud is an out-of-the box solution to rapidly transform a spreadsheet or database into an interactive dashboard. With its intuitive interface, even new users can instantly explore the interactive graphs and maps, and filter down to indicators and areas of interest. It comes with an open-source, Excel-based Data Manager, which has been used in over 60 countries for importing and consolidating a wide range of data. Creating your first dashboard is easy. If your data is in spreadsheet format, it can be automatically imported and visualized. StatPlanet also supports SDMX, the international standard for data exchange.Starting Price: $595 per year -
42
BusinessQ
Qualia Data Sciences
BusinessQ is business intelligence, data visualization and data discovery software. Create clean, readable graphs and comprehensive dashboards from your data or spreadsheets. Let BusinessQ tell you the story of your business data in precise, effective and unambiguous way, from monitoring your Sales, overseeing your Inventory, measuring business success, or tracking Key Performance Indicators (KPIs). It helps companies to see otherwise hidden patterns, to spot business problems on time as well as to identify useful opportunities in their raw data. Small and medium businesses don’t want to and can’t invest 100s of thousands EUR or more on long-lasting BI implementations and can’t hire new employees to support and work on these systems. BusinessQ is made with small and midsize businesses at mind; our focus is on user-friendliness, interactivity, fast results and implementation, low-cost and best practices data visualization.Starting Price: $2,250 one-time payment -
43
Datamatics TruBI
Datamatics
Datamatics TruBI is a top of the line business intelligence software. It assists in the visualization of reports through various bar graphs, pie charts, etc. The software allows users to manage large volumes of data and leverage it for higher organizational output. Datamatics TruBI allows companies to identify the pain points of operations and create solutions for improvement. The software works for organizations of all sizes, TruBI supports operations from small organizations with 50 employees to large enterprises. This business analytics software streamlines all applications under one platform for ironclad monitoring and analyzing threats. -
44
Graphy
Graphy
Graphy is an AI-powered data visualization tool designed to simplify the creation of professional-grade graphs and charts. It enables users to transform complex data into actionable insights through an intuitive interface that requires no steep learning curve. With features like AI-generated insights, seamless integration with platforms such as Google Sheets, and the ability to embed visuals into tools like Notion, Canva, and Slack, Graphy streamlines the process of data presentation and communication. Its rich storytelling capabilities, including visual annotations and one-click enhancements like goals and trend lines, make it a valuable asset for data-driven teams aiming to make informed decisions quickly. -
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Stardog
Stardog Union
With ready access to the richest flexible semantic layer, explainable AI, and reusable data modeling, data engineers and scientists can be 95% more productive — create and expand semantic data models, understand any data interrelationship, and run federated queries to speed time to insight. Stardog offers the most advanced graph data virtualization and high-performance graph database — up to 57x better price/performance — to connect any data lakehouse, warehouse or enterprise data source without moving or copying data. Scale use cases and users at lower infrastructure cost. Stardog’s inference engine intelligently applies expert knowledge dynamically at query time to uncover hidden patterns or unexpected insights in relationships that enable better data-informed decisions and business outcomes.Starting Price: $0 -
46
Grakn
Grakn Labs
Building intelligent systems starts at the database. Grakn is an intelligent database - a knowledge graph. An insanely intuitive & expressive data schema, with constructs to define hierarchies, hyper-entities, hyper-relations and rules, to build rich knowledge models. An intelligent language that performs logical inference of data types, relationships, attributes and complex patterns, during runtime, and over distributed & persisted data. Out-of-the-box distributed analytics (Pregel and MapReduce) algorithms, accessible through the language through simple queries. Strong abstraction over low-level patterns, enabling simpler expressions of complex constructs, while the system figures out the most optimal query execution. Scale your enterprise Knowledge Graph with Grakn KGMS and Workbase. A distributed database designed to scale over a network of computers through partitioning and replication. -
47
AI Graph Maker
AI Graph Maker
AI Graph Maker is a tool for creating clean, interactive data visualizations quickly and with minimal effort. It supports many chart and diagram types, like pie, bar, line, radar, Gantt, funnel, treemap, mind maps, flowcharts, org charts, knowledge graphs, timelines, and more, so you can represent hierarchical, categorical, temporal, or network data visually. You upload or input your raw data (or sometimes just use natural-language prompts), and the AI transforms it into polished charts; design, formatting, and layout are handled for you, with options to tweak visuals afterward. The UI is built to be user-friendly and responsive (works across devices), and you can export graphs in various formats (PNG, SVG, and even formats usable in tools) for further editing or embedding. The system emphasizes simplicity: you don’t need coding skills, and it delivers good visual clarity and customization in seconds.Starting Price: $4 per month -
48
Visuant
Competitive Solutions
Visuant is a business performance software that collects all of your data in one place with scorecards, charts and graphs, real-time dashboards and corrective actions linked to underperforming metrics. Eliminate multiple spreadsheets and develop one single source of truth to hold your team more accountable. Request a free, personalized 20 minute demo of Visuant Business Management Software at a time convenient for you. Visuant business software improves engagement, accountability, and performance-driven decision making. Visuant is a web-based solution installed On-Prem or SaaS that incorporates accountability, employee engagement, meeting portal and robust scorecard system.Starting Price: $660.00 -
49
Fluree
Fluree
Fluree is an immutable RDF graph database written in Clojure and adhering to W3C standards, supporting JSON and JSON-LD while accommodating various RDF ontologies; it boasts a scalable, cloud-native architecture utilizing a lightweight Java runtime, with individually scalable ledger and graph database components, embodying a "Data-Centric" ideology that treats data as a reusable asset independent of singular applications, underpinned by an immutable ledger that secures transactions with cryptographic integrity, alongside a rich RDF graph database capable of various queries, and employs SmartFunctions for enforcing data management rules, including identity and access management and data quality. -
50
Graph Engine
Microsoft
Graph Engine (GE) is a distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine. The distributed RAM store provides a globally addressable high-performance key-value store over a cluster of machines. Through the RAM store, GE enables the fast random data access power over a large distributed data set. The capability of fast data exploration and distributed parallel computing makes GE a natural large graph processing platform. GE supports both low-latency online query processing and high-throughput offline analytics on billion-node large graphs. Schema does matter when we need to process data efficiently. Strongly-typed data modeling is crucial for compact data storage, fast data access, and clear data semantics. GE is good at managing billions of run-time objects of varied sizes. One byte counts as the number of objects goes large. GE provides fast memory allocation and reallocation with high memory ratios.
