Compare the Top Free Data Collaboration Platforms as of February 2026

What are Free Data Collaboration Platforms?

Data collaboration platforms are software tools that allow for the sharing and manipulation of data between multiple users. These platforms often provide features such as version control, security and team management, allowing for a more efficient workflow. Generally, these platforms can be deployed both internally within an organization or through a cloud-based service accessible across the internet. Compare and read user reviews of the best Free Data Collaboration platforms currently available using the table below. This list is updated regularly.

  • 1
    Microsoft Power BI
    Power BI is a business intelligence platform that enables users to analyze data using AI-driven tools and intuitive report creation. It consolidates data from various sources into OneLake, creating a centralized data source. This platform aids in embedding actionable insights into applications like Microsoft 365, aiding decision-making. Power BI integrates with Microsoft Fabric, enhancing data management. It offers scalability to handle large data volumes and integrates seamlessly with Microsoft services. Its AI capabilities efficiently identify patterns and generate insights. Power BI ensures data security and compliance. Its Copilot feature allows rapid report generation. Additionally, Power BI Pro offers self-service analytics, and its free version includes data modeling and visualization tools. It's known for unified data management, empowering users with accessibility and training resources. Power BI has demonstrated a significant ROI and economic benefit, as evidenced in a Forres
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    Starting Price: $10 per user per month
  • 2
    Narrative

    Narrative

    Narrative

    Create new streams of revenue using the data you already collect with your own branded data shop. Narrative is focused on the fundamental principles that make buying and selling data easier, safer, and more strategic. Ensure that the data you access meets your standards, whatever they may be. Know exactly who you’re working with and how the data was collected. Easily access new supply and demand for a more agile and accessible data strategy. Own your data strategy entirely with end-to-end control of inputs and outputs. Our platform simplifies and automates the most time- and labor-intensive aspects of data acquisition, so you can access new data sources in days, not months. With filters, budget controls, and automatic deduplication, you’ll only ever pay for the data you need, and nothing that you don’t.
    Starting Price: $0
  • 3
    RowShare

    RowShare

    RowShare

    The Only Table That Unifies Your Distributed Operations Data RowShare is a collaborative tool that simplifies and automates data collection and analysis. Make better decisions based on reliable data and real-time insights. Collaborate within your team or with your external stakeholders. • Collect and Share Structured Data Invite users inside or outside your company to read or enter data according to your desired data structure. • Analyze and Visualize Data Turn your data into up-to-date dynamic charts and automatic pivot tables. • Receive and Send Notifications Remind users who have not yet entered their data and be notified when they do. • Control Data Access Take advantage of automated fine-grained permissions to ensure that every user accesses only the relevant data rows and columns. • Ready and Easy to Use • Automatically Generate Documents Generate documents based on a custom document template and the information gathered in your tables.
    Starting Price: $10.00/month/user
  • 4
    Mode

    Mode

    Mode Analytics

    Understand how users are interacting with your product and identify opportunity areas to inform your product decisions. Mode empowers one Stitch analyst to do the work of a full data team through speed, flexibility, and collaboration. Build dashboards for annual revenue, then use chart visualizations to identify anomalies quickly. Create polished, investor-ready reports or share analysis with teams for collaboration. Connect your entire tech stack to Mode and identify upstream issues to improve performance. Speed up workflows across teams with APIs and webhooks. Understand how users are interacting with your product and identify opportunity areas to inform your product decisions. Leverage marketing and product data to fix weak spots in your funnel, improve landing-page performance, and understand churn before it happens.
  • 5
    Databricks Data Intelligence Platform
    The Databricks Data Intelligence Platform allows your entire organization to use data and AI. It’s built on a lakehouse to provide an open, unified foundation for all data and governance, and is powered by a Data Intelligence Engine that understands the uniqueness of your data. The winners in every industry will be data and AI companies. From ETL to data warehousing to generative AI, Databricks helps you simplify and accelerate your data and AI goals. Databricks combines generative AI with the unification benefits of a lakehouse to power a Data Intelligence Engine that understands the unique semantics of your data. This allows the Databricks Platform to automatically optimize performance and manage infrastructure in ways unique to your business. The Data Intelligence Engine understands your organization’s language, so search and discovery of new data is as easy as asking a question like you would to a coworker.
  • 6
    Datastreams

    Datastreams

    Datastreams.io

    The Datastreams Platform is our state-of-the-art solution to simplify the process of capturing, sharing and managing data within and between organizations. From the initial step of collecting the right data towards getting a trusted personalized data view, our Platform facilitates the journey. Fast through optimized streaming technology, simple due to its patented data capturing capabilities and secured per our privacy by design principles, data collaboration is now available for everyone! The Platform is built upon a core Data Operations Unit (Datastreams Operator) that can be extended with different modules to fulfill specific data and business requirements like data quality checks on your web/mobile platforms or defining and segmenting specific target groups in a compliant way. Designed with IT & business agility in mind, it takes just a couple of days to start data collaborating with connections to data sources.
  • 7
    Cloudera Data Visualization
    Easily create rich, interactive dashboards that accelerate analytical insights across your enterprise. Cloudera Data Visualization enables data engineers, business analysts, and data scientists to quickly and easily explore data, collaborate, and share insights across the data lifecycle—from data ingest to data insights and beyond. Delivered natively as part of Cloudera, Data Visualization delivers a consistent and easy-to-use data visualization experience with intuitive and accessible drag-and-drop dashboards and custom application creation. Data Visualization is fully secured by SDX, enabling augmented data workflows across all your data and analytic workflows. Build predictive applications from ML models served in Cloudera Machine Learning, or leverage your data warehouse to power fast intelligent reporting without moving data or using third-party tools.
  • 8
    ZinkML

    ZinkML

    ZinkML Technologies

    ZinkML is a zero-code data science platform designed to address the challenges faced by organizations in leveraging data effectively. By providing a visual and intuitive interface, it eliminates the need for extensive coding expertise, making data science accessible to a broader range of users. ZinkML streamlines the entire data science lifecycle, from data ingestion and preparation to model building, deployment, and monitoring. Users can drag-and-drop components to create complex data pipelines, explore data visually, and build predictive models without writing a single line of code. The platform also offers automated feature engineering, model selection, and hyperparameter tuning, accelerating the model development process. Moreover, ZinkML provides robust collaboration features, enabling teams to work together seamlessly on data science projects. By democratizing data science, we empower companies to extract maximum value from their data and drive better decision-making.
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