Compare the Top Data Management Software that integrates with Git as of July 2026

This a list of Data Management software that integrates with Git. Use the filters on the left to add additional filters for products that have integrations with Git. View the products that work with Git in the table below.

What is Data Management Software for Git?

Data management software systems are software platforms that help organize, store and analyze information. They provide a secure platform for data sharing and analysis with features such as reporting, automation, visualizations, and collaboration. Data management software can be customized to fit the needs of any organization by providing numerous user options to easily access or modify data. These systems enable organizations to keep track of their data more efficiently while reducing the risk of data loss or breaches for improved business security. Compare and read user reviews of the best Data Management software for Git currently available using the table below. This list is updated regularly.

  • 1
    Gearset

    Gearset

    Gearset

    Gearset is the complete, enterprise-ready Salesforce DevOps platform, enabling teams to implement best practices across the entire DevOps lifecycle. With powerful solutions for metadata and CPQ deployments, CI/CD, testing, code scanning, sandbox seeding, backups, archiving, observability, and Org Intelligence — including the Gearset Agent — Gearset gives teams complete visibility, control, and confidence in every release. More than 3,000 enterprises, including McKesson, IBM and Zurich, trust Gearset to deliver securely at scale. Combining advanced governance, built‑in audit trails, SOX/ISO/HIPAA support, parallel pipelines, integrated security scans, and compliance with ISO 27001, SOC 2, GDPR, CCPA/CPRA, and HIPAA, Gearset provides enterprise‑grade controls, rapid onboarding, and a user‑friendly interface — all in one platform. Gearset delivers enterprise‑grade power without the overhead, which is why leading global organizations in finance, healthcare, and technology choose us,
    Starting Price: $200 per user, per month
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  • 2
    Retool

    Retool

    Retool

    Retool is the AI-native enterprise app development platform where teams build and ship production-ready apps — at AI speed, with enterprise governance built in. Describe what you need and get a working app, import React-based apps from Lovable, Replit, or Claude Code, or connect your AI agent via MCP. However your team builds, every app lands in Retool with RBAC, SSO, audit logging, and your existing permissions already in place. Retool connects to databases, APIs, LLMs, and external tools out of the box. Teams can build AI agents, dashboards, workflows, and full-stack apps — with a visual editor for speed and direct code access for precision. Trusted by over 10,000 organizations including Amazon, Stripe, DoorDash, and OpenAI to get AI-built apps safely to production.
    Starting Price: $10 per user per month
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  • 3
    Apify

    Apify

    Apify Technologies s.r.o.

    Apify is a full-stack web scraping and automation platform helping anyone get value from the web. At its core is Apify Store, a marketplace with over 10,000 Actors where developers build, publish, and monetize automation tools. Actors are serverless cloud programs that extract data, automate web tasks, and run AI agents. Developers build them using JavaScript, Python, or Crawlee, Apify's open-source library. Build once, publish to Store, and earn when others use it. Thousands of developers do this - Apify handles infrastructure, billing, and monthly payouts. Apify Store has ready-made Actors for scraping Amazon, Google Maps, social media, tracking prices, lead-gen, and more. Actors handle proxies, CAPTCHAs, JavaScript rendering, headless browsers, and scaling. Everything runs on Apify's cloud with 99.95% uptime. SOC2, GDPR, and CCPA compliant. Integrate with Zapier, Make, n8n, and LangChain. Apify's MCP server lets AI like Claude dynamically discover and use Actors
    Starting Price: $29 per month
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  • 4
    Parasoft

    Parasoft

    Parasoft

    "Parasoft delivers an AI‑powered software testing platform that helps organizations continuously release high‑quality software. Our solutions support embedded and enterprise teams by integrating code analysis, testing, virtualization, and coverage into the delivery pipeline to improve security, reliability, and compliance while reducing cost and effort. Parasoft C/C++test provides static analysis, unit testing, code coverage, and requirements traceability for C and C++ applications. It integrates with Eclipse and Visual Studio, supports CI/CD automation, and is TÜV‑certified for safety‑ and security‑critical systems. Parasoft C/C++test CT is a scalable, compliance‑ready solution for C and C++ teams. It integrates into CI/CD workflows, supports open‑source unit testing frameworks, containers, VS Code, Bazel build systems, eliminates IDE dependencies, and is TÜV‑certified for safety‑ and security‑critical development."
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    Starting Price: $35/user/mo
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  • 5
    Saturn Cloud

    Saturn Cloud

    Saturn Cloud

    Saturn Cloud is an AI/ML platform available on every cloud. Data teams and engineers can build, scale, and deploy their AI/ML applications with any stack. Quickly spin up environments to test new ideas, then easily deploy them into production. Scale fast—from proof-of-concept to production-ready applications. Customers include NVIDIA, CFA Institute, Snowflake, Flatiron School, Nestle, and more. Get started for free at: saturncloud.io
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    Starting Price: $0.005 per GB per hour
  • 6
    Visual Expert
    Visual Expert is a static code analyzer for Oracle PL/SQL, SQL Server T-SQL, and PowerBuilder. Identify code dependencies to modify your code without breaking your application. Scan your code to improve the security, performance, and quality. Perform Impact analysis to Identify breaking changes. Automatically scan your code to detect and fix security vulnerabilities, bugs and maintenance Issues. Implement continuous code inspection Understand the inner workings of your code with call graphs, code diagrams, CRUD Matrix and Object Dependency Matrix (ODM). Automatically generate an HTML Source Code documentation. Explore your code exploration with hyperlinks Compare applications, databases or pieces of code. Improve maintainability. Clean up code. Comply with dev standards. Analyze and Improve DB code performance: Find slow objects and SQL queries, Optimize a slow object, a Chain of calls a slow SQL, Get a query Execution Plan. And much more.
    Starting Price: $495 per year
  • 7
    Netlify

    Netlify

    Netlify

    Start, build and ship full-stack apps with AI or code on the platform built for agent experience (AX). AI makes it easy to generate code. The harder part comes next. Getting changes live. Keeping systems stable. Understanding what broke when something doesn’t behave as expected. That challenge grows as updates happen faster and more often. Netlify brings the whole development workflow into one platform. Builders and agents move from idea to production quickly, without losing context. Our best-in-class agent experience (AX) results in a shared workflow where humans and AI agents work side by side quickly and safely. We bring together all modern web frameworks, serverless functions, edge computing and managed Postgres in one platform. Leading AI coding agents like Claude Code, Codex CLI and Gemini CLI come built in. More than 15 million builders use Netlify, from solo developers and vibe coders to Fortune 100 companies and teams at Bolt, Figma, Mattel, and Riot Games.
    Starting Price: $9 / month
  • 8
    DataGrip

    DataGrip

    JetBrains

    Meet DataGrip, our new database IDE that is tailored to suit the specific needs of professional SQL developers. Allows you to execute queries in different modes and provides a local history that keeps track of all your activity and protects you from losing your work. Lets you jump to any table, view, or procedure by its name via the corresponding action, or directly from its usages in the SQL code. Gives you an extended insight into how your queries work and into the database engine behavior, so you can make your queries more efficient. DataGrip provides context-sensitive code completion, helping you to write SQL code faster. Completion is aware of the tables structure, foreign keys, and even database objects created in code you're editing. DataGrip detects probable bugs in your code and suggests the best options to fix them on the fly. It will immediately let you know about unresolved objects, using keywords as identifiers and always offers a way to fix the problems.
    Starting Price: $199 per year
  • 9
    Screenful

    Screenful

    Screenful

    For a long time, project analytics was hard to understand and time-consuming. You’d have to export data from productivity tools into spreadsheets. Screenful is an analytics tool that automates all that manual work. Save time and get any metrics you need at a glance with stunning dashboards, custom charts, and scheduled reports. See what others are working on and what has been resolved recently. Track your story cycle time, see your average lead time, and spot bottlenecks. Track & eliminate waste! See how much work is done vs. left. Get forecasts based on your team's historical velocity. Share insights with public and private links. Send them via email or Slack on a custom schedule. Screenful enables easy integration of new tools and data sets. To create a custom chart, go to the Charts tab and click Add new chart on the top right corner. A modal is opened with a set of chart templates. You can either create a new chart from scratch or pick one of the predefined charts.
    Starting Price: $43 per month
  • 10
    biGENIUS

    biGENIUS

    biGENIUS AG

    biGENIUS automates the entire lifecycle of analytical data management solutions (e.g. data warehouses, data lakes, data marts, real-time analytics, etc.) and thus providing the foundation for turning your data into business as fast and cost-efficient as possible. Save time, efforts and costs to build and maintain your data analytics solutions. Integrate new ideas and data into your data analytics solutions easily. Benefit from new technologies thanks to the metadata-driven approach. Advancing digitalization challenges traditional data warehouse (DWH) and business intelligence systems to leverage an increasing wealth of data. To accommodate today’s business decision making, analytical data management is required to integrate new data sources, support new data formats as well as technologies and deliver effective solutions faster than ever before, ideally with limited resources.
    Starting Price: 833CHF/seat/month
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    Hackolade

    Hackolade

    Hackolade

    Hackolade Studio is a powerful data modeling platform that supports a wide range of technologies including relational SQL and NoSQL databases, cloud data warehouses, APIs, streaming platforms, and data exchange formats. Designed for modern data architecture, it enables users to visually design, document, and evolve schemas across systems like Oracle, PostgreSQL, Databricks, Snowflake, MongoDB, Cassandra, DynamoDB, Neo4j, Kafka (with Confluent Schema Registry), OpenAPI, GraphQL, and more. Hackolade Studio offers forward and reverse engineering, schema versioning, model validation, and integration with metadata catalogs such as Unity Catalog and Collibra. It empowers data architects, engineers, and governance teams to collaborate on consistent, governed, and scalable data models. Whether building data products, managing API contracts, or ensuring regulatory compliance, Hackolade Studio streamlines the process in one unified interface.
    Starting Price: €175 per month
  • 12
    bipp

    bipp

    bipp analytics

    Powered by the bippLang data modeling language, bipp’s cloud BI platform was designed for SQL and data analysts from day one. It saves you and your teams' time so your businesses can make better-informed, faster decisions. bippLang data modeling language streamlines SQL queries by creating reusable complex data models with custom columns and dynamic sub-querying. Git-based version control means analysts can collaborate; all data models and SQL queries are automatically backed up. Always-free version gives you access to a powerful BI platform with professional support at no cost. In-database analytics means there’s no need to copy the data into a different system, speeding up access and producing real-time results. Auto-SQL generator leverages joins defined in the data model, figures out which tables to join and generates dynamic sub-queries based on context. Single source of truth data models ensure everyone in the organization bases business decisions on the same data.
    Starting Price: $10 per user per month
  • 13
    Prophecy

    Prophecy

    Prophecy.ai

    Prophecy is an AI-powered data preparation and analysis platform that enables business users to transform raw data into actionable insights through natural language prompts. The platform uses specialized AI agents to automatically generate visual, low-code data workflows that users can inspect, refine, validate, and deploy without requiring programming expertise. Prophecy connects directly to cloud data platforms such as Databricks, Snowflake, and BigQuery, allowing organizations to prepare, analyze, and govern data at enterprise scale. The platform combines AI-generated data pipelines with visual workflow interfaces, making complex data transformations easier to understand and manage. Users can automate data preparation, perform advanced analysis, create visualizations, and deploy production-ready workflows while maintaining governance and transparency.
    Starting Price: $150/user/month
  • 14
    dbForge Source Control
    dbForge Source Control for SQL Server is a powerful add-in for SQL Server Management Studio (SSMS) that enables version control within the familiar interface. Key Features: Source-control databases: shared vs dedicated database development model Version-control a SQL database working folder Manage database changes Resolve conflicts Undo uncommitted changes Track database changes Automate database development with the DevOps approach You can always find the latest version of the product on the official Devart website. The user-friendly interface of dbForge Source Control ensures quick adoption, improves processes, and supports database developers and managers in establishing effective DevOps practices for more efficient and accurate product delivery.
    Starting Price: $189.95
  • 15
    Dolt

    Dolt

    DoltHub

    Version control features from Git on your SQL database tables. Commit, branch, merge, clone, pull, and push your data and schema. Use a familiar interface to query data and explore history as of time, commit, branch, or tag. Dolt solves this problem with a special type of replica you add to an existing MySQL deployment. No migration is required. You get an audit log of every cell, time travel, and branch for development on a replica.
    Starting Price: $50 per month
  • 16
    Stackable

    Stackable

    Stackable

    The Stackable data platform was designed with openness and flexibility in mind. It provides you with a curated selection of the best open source data apps like Apache Kafka, OpenSearch, Trino, and Apache Spark. While other current offerings either push their proprietary solutions or deepen vendor lock-in, Stackable takes a different approach. All data apps work together seamlessly and can be added or removed in no time. Based on Kubernetes, it runs everywhere, on-prem or in the cloud. stackablectl and a Kubernetes cluster are all you need to run your first stackable data platform. Within minutes, you will be ready to start working with your data. Configure your one-line startup command right here. Similar to kubectl, stackablectl is designed to easily interface with the Stackable Data Platform. Use the command line utility to deploy and manage stackable data apps on Kubernetes. With stackablectl, you can create, delete, and update components.
    Starting Price: Free
  • 17
    Genesis Computing

    Genesis Computing

    Genesis Computing

    Genesis Computing provides an enterprise AI platform built around autonomous “AI data agents” that automate complex data engineering and analytics workflows across an organization’s existing technology stack. It introduces a new category of AI knowledge workers that operate as autonomous agents capable of executing full data workflows rather than simply suggesting code or analysis. These agents can research data sources, ingest and transform datasets, map raw data from source systems to structured analytical targets, generate and run data pipeline code, create documentation, perform testing, and monitor pipelines in production environments. By handling these tasks end-to-end, the platform reduces the manual workload typically required to build and maintain data pipelines and analytics infrastructure.
    Starting Price: Free
  • 18
    Inventale

    Inventale

    Inventale

    Having 20+ years of programming background, Inventale specializes in the development of high-quality software engineering projects. Our expertise lies in forecasting and recommendation systems built on unstructured data, Big-Data processing and analytics, video recognition, geo-locations, and audience analysis in different spheres, including online advertising, logistics, finance, medicine, biology, HR, law, and many others. Also, we have not only developed a first-class platform for publishers and media companies, but we have successfully promoted it to the global market. In 2021, the product was acquired by BURT Intelligence to complement their platform. Inventale has: - an extensive experience in working with major global companies, market leaders and small businesses, and ambitious startups from the USA, the UK, Europe, and MENA Region; - 20+ clients worldwide; - 40+ enthusiastic professionals, ready to bring your ideas to life.
    Starting Price: $25,000
  • 19
    Iterative

    Iterative

    Iterative

    AI teams face challenges that require new technologies. We build these technologies. Existing data warehouses and data lakes do not fit unstructured datasets like text, images, and videos. AI hand in hand with software development. Built with data scientists, ML engineers, and data engineers in mind. Don’t reinvent the wheel! Fast and cost‑efficient path to production. Your data is always stored by you. Your models are trained on your machines. Existing data warehouses and data lakes do not fit unstructured datasets like text, images, and videos. AI teams face challenges that require new technologies. We build these technologies. Studio is an extension of GitHub, GitLab or BitBucket. Sign up for the online SaaS version or contact us to get on-premise installation
  • 20
    XetHub

    XetHub

    XetHub

    Confidently branch, review, and merge data as you experiment with complete history and recoverability. Track your code and data together for always-in-sync development and guaranteed reproducibility. Automate reports, audit access, and manage metadata in a centralized location for everyone. XetHub is ideal for teams who already use Git to track their code changes, and want to leverage the power of infinite history, pull requests, and difference-based tracking for larger assets such as datasets or media files. Managing complete projects with familiar Git semantics makes change tracking and continuous integration a breeze, especially for workflows that use code to generate or augment assets.
  • 21
    Atlas

    Atlas

    The Atlas Authors

    Atlas is a modern platform for managing database schemas safely and automatically. It lets teams define their database schema as code and apply changes with confidence. Atlas plans and verifies migrations automatically, eliminating manual and error-prone workflows. Built for GitOps and CI/CD, it integrates seamlessly into modern development pipelines. Formal verification and policy checks help prevent destructive or unsafe schema changes. Atlas supports all major databases and works across local, staging, and production environments. It helps teams ship database changes faster while staying secure and compliant.
  • 22
    ProxySQL

    ProxySQL

    ProxySQL

    ProxySQL is built with an advanced multi-core architecture to support hundreds of thousands of concurrent connections, multiplexed to thousands of servers. ProxySQL supports sharding by user, schema or table by means of the advanced query rule engine or through customized plugins. The development team no longer needs to rewrite queries generated by ORMs or packaged software, ProxySQL's query rewriting feature can modify SQL statements on the fly. Battle-tested doesn't even begin to cover it — ProxySQL is war-tested. Performance is the priority and the numbers prove it. ProxySQL is an open source high performance, high availability, database protocol aware proxy for MySQL and PostgreSQL. ProxySQL is a robust SQL proxy solution that acts as a pivotal bridge between database clients and servers, offering a plethora of features designed to streamline database operations. ProxySQL empowers organizations to harness the full potential of their database infrastructure.
  • 23
    SQL Connect

    SQL Connect

    SQL Connect

    SQL Connect is a desktop-based SQL development tool designed for Oracle Cloud applications, offering a comprehensive suite of features for efficient data querying and management. It provides real-time access to Oracle ERP, SCM, and HCM Pods, enabling users to execute ad-hoc SQL queries, browse database objects, and export results to CSV or Excel formats. It supports background query execution, allowing long-running queries to be processed without interrupting the user's workflow. Additionally, SQL Connect includes IntelliSense for code completion, a SQL Minimap for script navigation, and Git integration for version control and collaborative development. It is secured by Oracle Cloud Role access. It caters to individual users, contractors, developers, consultants, and Oracle Cloud experts seeking a robust SQL IDE for Oracle Cloud environments.
  • 24
    Azure Data Factory
    Integrate data silos with Azure Data Factory, a service built for all data integration needs and skill levels. Easily construct ETL and ELT processes code-free within the intuitive visual environment, or write your own code. Visually integrate data sources using more than 90+ natively built and maintenance-free connectors at no added cost. Focus on your data—the serverless integration service does the rest. Data Factory provides a data integration and transformation layer that works across your digital transformation initiatives. Data Factory can help independent software vendors (ISVs) enrich their SaaS apps with integrated hybrid data as to deliver data-driven user experiences. Pre-built connectors and integration at scale enable you to focus on your users while Data Factory takes care of the rest.
  • 25
    IBM InfoSphere Data Architect
    A data design solution that enables you to discover, model, relate, standardize and integrate diverse and distributed data assets throughout the enterprise. IBM InfoSphere® Data Architect is a collaborative enterprise data modeling and design solution that can simplify and accelerate integration design for business intelligence, master data management and service-oriented architecture initiatives. InfoSphere Data Architect enables you to work with users at every step of the data design process, from project management to application design to data design. The tool helps to align processes, services, applications and data architectures. Simple warehouse design, dimensional modeling and change management tasks help reduce development time and give you the tools to design and manage warehouses from an enterprise logical model. Time stamped, column-organized tables offer a better understanding of data assets to help increase efficiency and reduce time to market.
  • 26
    Coalesce

    Coalesce

    Coalesce.io

    Building and managing a fully documented data project takes a lot of time and manual coding. Not anymore. When we say we can help you transform data more efficiently, we can prove it. Column-aware architecture enables reusable data patterns and change management at scale. Bring visibility to change management and impact analysis for safer and more predictable data ops. Coalesce provides curated packages with best-practice templates to automatically generate native-SQL for Snowflake™. Have a unique need? No worries, templates are fully customizable. Navigating your data pipeline is easy in Coalesce. Each screen and button is designed to provide access to everything you need. Your data team has more control over every project, from comparing code side-by-side to instantly seeing project and audit history. Table-level and column-level lineage is automatically provided and always up-to-date.
  • 27
    OpsHub

    OpsHub

    OpsHub

    OpsHub Integration Manager (OIM) can be configured to synchronize data between any of the 50+ tools in the ALM ecosystem. OIM provides an easy-to-use interface and intuitive user experience allowing users to easily configure the integration. The platform is built to be resilient and guarantees consistency of data in the systems that are being integrated. Businesses with heterogeneous IT landscapes need an agile integration that can put their entire value stream on a fast track and be a partner in their digital transformation. To remain competitive in the ever-evolving digital economy, it is now more crucial than ever to optimize processes and keep each step through the process connected. With OpsHub, get an enterprise-class integration solution that has been transforming clients’ value stream for over two decades.
  • 28
    Kovair QuickSync

    Kovair QuickSync

    Kovair Software

    Kovair QuickSync is a one stop, cost-effective, wide-range data migration solution for any enterprise across industry. Kovair QuickSync is a Windows-based desktop solution, which can be easily installed and used. Requirement of minimal infrastructure for operation makes it a very cost effective and efficient solution for the industry. It not only helps to migrate data from one source to one target but also helps to migrate data from one source to multiple targets. Its Instinctive UI makes it easily adaptable and adorable to the users. Offers a built-in disaster recovery mechanism and re-migration capability to ensure 100% data migration with zero data loss. Supports template-based migration capability. Once the configuration is done for one project it can be reused for others. Provides on-screen monitoring of migration status providing a real-time update on the health of migration.
  • 29
    Kestra

    Kestra

    Kestra

    Kestra is an open-source, event-driven orchestrator that simplifies data operations and improves collaboration between engineers and business users. By bringing Infrastructure as Code best practices to data pipelines, Kestra allows you to build reliable workflows and manage them with confidence. Thanks to the declarative YAML interface for defining orchestration logic, everyone who benefits from analytics can participate in the data pipeline creation process. The UI automatically adjusts the YAML definition any time you make changes to a workflow from the UI or via an API call. Therefore, the orchestration logic is defined declaratively in code, even if some workflow components are modified in other ways.
  • 30
    GenRocket

    GenRocket

    GenRocket

    Enterprise synthetic test data solutions. In order to generate test data that accurately reflects the structure of your application or database, it must be easy to model and maintain each test data project as changes to the data model occur throughout the lifecycle of the application. Maintain referential integrity of parent/child/sibling relationships across the data domains within an application database or across multiple databases used by multiple applications. Ensure the consistency and integrity of synthetic data attributes across applications, data sources and targets. For example, a customer name must always match the same customer ID across multiple transactions simulated by real-time synthetic data generation. Customers want to quickly and accurately create their data model as a test data project. GenRocket offers 10 methods for data model setup. XTS, DDL, Scratchpad, Presets, XSD, CSV, YAML, JSON, Spark Schema, Salesforce.
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