Best Agentic Data Management Platforms for GitHub

Compare the Top Agentic Data Management Platforms that integrate with GitHub as of April 2026

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This a list of Agentic Data Management platforms that integrate with GitHub. Use the filters on the left to add additional filters for products that have integrations with GitHub. View the products that work with GitHub in the table below.

What are Agentic Data Management Platforms for GitHub?

Agentic data management platforms use autonomous AI agents to manage, govern, and optimize data across complex enterprise environments. They can discover data assets, monitor data quality, and take action to resolve issues such as schema drift, access violations, or pipeline failures. These platforms reason over metadata, usage patterns, and policies to automate decisions that traditionally require human intervention. Many agentic data management platforms integrate with data warehouses, lakes, and analytics tools to operate across the full data lifecycle. By reducing manual effort and improving reliability, they help organizations maintain trusted, scalable, and well-governed data systems. Compare and read user reviews of the best Agentic Data Management platforms for GitHub currently available using the table below. This list is updated regularly.

1

Domo

Domo

Domo puts data to work for everyone so they can multiply their impact on the business. Our cloud-native data experience platform goes beyond traditional business intelligence and analytics, making data visible and actionable with user-friendly dashboards and apps. Underpinned by a secure data foundation that connects with existing cloud and legacy systems, Domo helps companies optimize critical business processes at scale and in record time to spark the bold curiosity that powers exponential business results.

49 Ratings

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2

Domino Enterprise AI Platform

Domino Data Lab

Domino is an enterprise AI platform designed to help organizations build, deploy, and scale AI systems that deliver real business outcomes. It provides end-to-end support for the AI lifecycle, from data science experimentation to production deployment and governance. The platform enables teams to access data, tools, and compute resources through a self-service environment with built-in IT controls. Domino supports the development of machine learning models, generative AI applications, and AI agents using preferred tools and frameworks. It also includes governance features such as model tracking, audit trails, and policy enforcement to ensure compliance and transparency. With hybrid and multi-cloud capabilities, organizations can run AI workloads across on-premises and cloud environments. Overall, Domino helps enterprises operationalize AI at scale while maintaining control, security, and efficiency.

1 Rating

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3

Redpanda Agentic Data Plane

Redpanda Data

Redpanda is an enterprise data streaming platform designed to make AI agents safe, governed, and effective across all organizational data. Its Agentic Data Plane connects agents to data sources across cloud, on-prem, and hybrid environments without creating risk or chaos. Redpanda unifies live data streams and historical data into a single, queryable layer. Built-in governance ensures every agent action is authorized, logged, and auditable. The platform enables agents to retrieve exactly the data they need with full context. Redpanda records and replays all agent activity for transparency and debugging. It helps enterprises move from experimental AI to production-ready agentic systems.

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