Compare the Top DevOps Software as of February 2026

What is DevOps Software?

DevOps is a software development and delivery practice that emphasizes collaboration between software developers, IT operations professionals, and other stakeholders. It uses a set of tools and automation to help manage the various processes that go into developing software quickly, efficiently, and reliably. DevOps allows teams to streamline their software development activities into an automated pipeline for improved quality and faster time-to-market. Compare and read user reviews of the best DevOps software currently available using the table below. This list is updated regularly.

  • 1
    Cyclr

    Cyclr

    Cyclr

    Cyclr is an embedded integration toolkit (embedded iPaaS) for creating, managing and publishing white-labelled integrations directly into your SaaS application. With a low-code, visual integration builder and a fully featured unified API for developers, all teams can impact integration creation and delivery. Flexible deployment methods include an in-app Embedded integration marketplace, where you can push your new integrations live, for your users to self serve, in minutes. Cyclr's fully multi-tenanted architecture helps you scale your integrations with security fully built in - you can even opt for Private deployments (managed or in your infrastructure). Accelerate your AI strategy by Creating and publishing your own MCP Servers too, so you can make your SaaS usable inside LLMs. We help take the hassle out of delivering your users' integration needs.
    Starting Price: $1599 per month
  • 2
    JFrog ML
    JFrog ML (formerly Qwak) offers an MLOps platform designed to accelerate the development, deployment, and monitoring of machine learning and AI applications at scale. The platform enables organizations to manage the entire lifecycle of machine learning models, from training to deployment, with tools for model versioning, monitoring, and performance tracking. It supports a wide variety of AI models, including generative AI and LLMs (Large Language Models), and provides an intuitive interface for managing prompts, workflows, and feature engineering. JFrog ML helps businesses streamline their ML operations and scale AI applications efficiently, with integrated support for cloud environments.
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