Best Data Lineage Tools for GitHub

Find and compare the best Data Lineage tools for GitHub in 2025

Use the comparison tool below to compare the top Data Lineage tools for GitHub on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Microsoft Purview Reviews
    Microsoft Purview is a unified data governance service that helps you manage and govern your on-premises, multicloud, and software-as-a-service (SaaS) data. You can easily create a comprehensive, up-to date map of your data landscape using automated data discovery, sensitive classification, and end to end data lineage. Data consumers can find trustworthy, valuable data. Automated data discovery, lineage identification and data classification across on and off-premises, multicloud, as well as SaaS sources. For more effective governance, a unified map of all your data assets and their relationships. Semantic search allows data discovery using technical or business terms. Get insight into the movement and location of sensitive data in your hybrid data landscape. Purview Data Map will help you establish the foundation for data usage and governance. Automate and manage metadata from mixed sources. Use built-in and customized classifiers to classify data and Microsoft Information Protection sensitive labels to protect it.
  • 2
    SQLFlow Reviews

    SQLFlow

    Gudu Software

    $49.99 per month
    SQLFlow displays the data flow visually. Automated SQL data lineage analysis across databases and ETL environments, cloud, business intelligence, cloud, and Hadoop environments. This is done by parsing SQL Scripts and stored procedures. Visualize all data movement graphically More than 20 major databases are supported and growing. Automate the building of the lineage regardless of where it is stored: file system, databases, Github or Bitbucket, etc. It makes it easy to understand data flows and is clear and user-friendly. You have full visibility into your BI environment. It is vital to have business confidence by identifying the root-cause of reporting errors. Reduce regulatory compliance. Visualization of data lineage provides greater transparency and auditability. You can perform impact analysis at a fine level by drilling down into the query-level lineage, column, or table. You can instantly add the data lineage analysis capability for your product.
  • 3
    Y42 Reviews

    Y42

    Datos-Intelligence GmbH

    Y42 is the first fully managed Modern DataOps Cloud for production-ready data pipelines on top of Google BigQuery and Snowflake.
  • 4
    Mozart Data Reviews
    Mozart Data is the all-in-one modern data platform for consolidating, organizing, and analyzing your data. Set up a modern data stack in an hour, without any engineering. Start getting more out of your data and making data-driven decisions today.
  • 5
    Foundational Reviews
    Identify code issues and optimize code in real-time. Prevent data incidents before deployment. Manage code changes that impact data from the operational database all the way to the dashboard. Data lineage is automated, allowing for analysis of every dependency, from the operational database to the reporting layer. Foundational automates the enforcement of data contracts by analyzing each repository, from upstream to downstream, directly from the source code. Use Foundational to identify and prevent code and data issues. Create controls and guardrails. Foundational can be configured in minutes without requiring any code changes.
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