Best Data Management Software for Git

Find and compare the best Data Management software for Git in 2025

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

  • 1
    Parasoft Reviews
    Top Pick

    Parasoft

    $125/user/mo
    115 Ratings
    See Software
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    Parasoft's mission is to provide automated testing solutions and expertise that empower organizations to expedite delivery of safe and reliable software. A powerful unified C and C++ test automation solution for static analysis, unit testing and structural code coverage, Parasoft C/C++test helps satisfy compliance with industry functional safety and security requirements for embedded software systems.
  • 2
    DataGrip Reviews

    DataGrip

    JetBrains

    $199 per year
    2 Ratings
    DataGrip is our new database IDE, designed to meet the needs of professional SQL developers. You can execute queries in multiple modes. It also provides a local history which keeps track of your activity and protects your work from being lost. You can jump to any table or view by the name of the action or directly from the SQL code. This tool gives you a detailed insight into the behavior of your queries and the database engine behavior so that you can optimize your queries. DataGrip allows you to write SQL code more quickly by providing context-sensitive code completion. Completion can detect the table structure, foreign keys and even database objects that were created in the code you are editing. DataGrip will detect potential bugs in your code and suggest the best ways to fix them. It will instantly notify you of unresolved objects using keywords as identifiers. It also offers solutions.
  • 3
    Retool Reviews

    Retool

    Retool

    $10 per user per month
    1 Rating
    Retool is a platform that enables developers to combine the benefits of traditional software development with a drag-and-drop editor and AI to build internal tools faster. Every tool can be deployed anywhere, debugged with your toolchain, and shared reliably at any scale—ensuring good software by default. Retool is used by industry leaders such as Amazon, American Express, and OpenAI for mission critical custom software across operations, billing, and customer support.
  • 4
    Saturn Cloud Reviews
    Top Pick

    Saturn Cloud

    Saturn Cloud

    $0.005 per GB per hour
    93 Ratings
    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.
  • 5
    Screenful Reviews

    Screenful

    Screenful

    $43 per month
    Project analytics took a long time to understand and was time-consuming. It would be necessary to export data from productivity software into spreadsheets. Screenful automates this manual work. With stunning dashboards, custom charts, or scheduled reports, you can save time and see all the metrics you need in one place. You can see what other people are working on and what was resolved recently. Track your story cycle, see your average lead times, and spot bottlenecks. Track and eliminate waste! You can see how much work has been done versus how much is left. Forecasts based upon historical velocity for your team. You can share your insights via public and private links. You can send them via email or Slack according to your schedule.
  • 6
    biGENIUS Reviews

    biGENIUS

    biGENIUS AG

    833CHF/seat/month
    biGENIUS automates all phases of analytic data management solutions (e.g. data warehouses, data lakes and data marts. thereby allowing you to turn your data into a business as quickly and cost-effectively as possible. Your data analytics solutions will save you time, effort and money. Easy integration of new ideas and data into data analytics solutions. The metadata-driven approach allows you to take advantage of new technologies. Advancement of digitalization requires traditional data warehouses (DWH) as well as business intelligence systems to harness an increasing amount of data. Analytical data management is essential to support business decision making today. It must integrate new data sources, support new technologies, and deliver effective solutions faster than ever, ideally with limited resources.
  • 7
    dbForge Source Control Reviews
    dbForge Source Control for SQL Server is a robust add-in for SQL Server Management Studio (SSMS) that integrates version control into the familiar interface. It streamlines database change management across your team, ensuring a consistent software environment. Key Features: - Extensive Source Control System Support: Compatible with Git (and GitHub), - - Perforce (P4), Mercurial, SourceGear Vault, Subversion (SVN), and more. - Simplified Database Linking: Use dedicated wizards to easily link databases to source control systems. - Development Workflow Support: Accommodates both shared and dedicated development workflows. - Visual Source Control Management: Easily commit changes, roll back modifications, and resolve conflicts visually. - Enhanced Commit Functions: Include comments and highlight differences for better clarity. - Change History Access: Review the history of changes at any time. The user-friendly interface of dbForge Source Control ensures quick adoption and allows users to perform essential tasks directly within SSMS. This integration enhances processes, aiding database developers and managers in implementing effective DevOps practices for more efficient and accurate product delivery.
  • 8
    Hackolade Reviews

    Hackolade

    Hackolade

    €100 per month
    Hackolade is the pioneer for data modeling of NoSQL and multi-model databases, providing a comprehensive suite of data modeling tools for various NoSQL databases and APIs. Hackolade is the only data modeling tool for MongoDB, Neo4j, Cassandra, ArangoDB, BigQuery, Couchbase, Cosmos DB, Databricks, DocumentDB, DynamoDB, Elasticsearch, EventBridge Schema Registry, Glue Data Catalog, HBase, Hive, Firebase/Firestore, JanusGraph, MariaDB, MarkLogic, MySQL, Oracle, PostgreSQL, Redshift, ScyllaDB, Snowflake, SQL Server, Synapse, TinkerPop, YugabyteDB, etc. It also applies its visual design to Avro, JSON Schema, Parquet, Protobuf, Swagger and OpenAPI, and is rapidly adding new targets for its physical data modeling engine. The software is user-friendly and simple to use yet provides powerful visuals and graphic data modeling to smooth the onboarding of NoSQL technology. Its software tools help functional analysts, designers, architects, and DBAs involved with NoSQL technology achieve greater transparency and control, resulting in reduced development time, increased application quality, and lower execution risks across the enterprise.
  • 9
    Inventale Reviews

    Inventale

    Inventale

    $25,000
    Inventale Custom Projects is a UAE-based software development company specializing in unique machine learning and AI-based projects. Combination of software product and project development is our key competitive advantage, that distinguishes us among other companies. We have been helping both market leaders and small businesses and ambitious startups from the USA, the UK, Europe, UAE for over a decade. Inventale has: - an extensive experience in working with major global companies, market leaders, and ambitious startups from the USA, the UK, Europe, and MENA Region; - 20+ clients worldwide, including Majid Al Futtaim, GEMS Education, Central Bank of the UAE, Porsche UAE, Builders, Backlite, Dragoman, B2 Connect, PubMatic, CreativeCo Studio, IQ Data, Convidi, Maxifier, Maxifier, Rambler&Co, Maxima Telecom, CTC Media. - 40+ enthusiastic professionals ready to bring your ideas to life.
  • 10
    bipp Reviews

    bipp

    bipp analytics

    $10 per user per month
    Bipp's cloud BI platform is powered by the bippLang Data modeling language. It was created for SQL and data analysts right from the beginning. It saves time for you and your team so that your business can make faster, better-informed decisions. BippLang data modeling language simplifies SQL queries by creating complex data models with custom columns, dynamic sub-querying, and reusable data. Git-based version control allows analysts to collaborate; all data models are automatically backed by the system. An always-free version allows you to access a powerful BI platform and professional support at no additional cost. In-database analytics makes it easy to access the data in a single system. This speeds up access and produces real-time results. Auto-SQL generator uses joins in the data model to determine which tables to join, and generate dynamic sub-queries based upon context. Data models that are single source of truth ensure that everyone in the organization can base business decisions on the same data.
  • 11
    Prophecy Reviews

    Prophecy

    Prophecy

    $299 per month
    Prophecy allows you to connect with many more people, including data analysts and visual ETL developers. To create your pipelines, all you have to do is click and type a few SQL expressions. You will be creating high-quality, readable code for Spark or Airflow by using the Low-Code Designer. This code is then committed to your Git. Prophecy provides a gem builder that allows you to quickly create and roll out your own Frameworks. Data Quality, Encryption and new Sources are just a few examples. Prophecy offers best practices and infrastructure as managed service - making your life and operations easier! Prophecy makes it easy to create workflows that are high-performance and scale out using the cloud.
  • 12
    Dolt Reviews

    Dolt

    DoltHub

    $50 per month
    Git can be used to control your SQL database tables. Commit, branch merge, clone pull and push your data. Use a familiar user interface to explore data and history based on time, commit, tag, branch or clone. Dolt fixes this problem by adding a special replica to an existing MySQL deployment. No migration is needed. You can get an audit log for every cell, branch, time travel and time travel on a copy.
  • 13
    Stackable Reviews
    The Stackable platform was built with flexibility and openness in mind. It offers a curated collection of open source data apps such as Apache Kafka Apache Druid Trino and Apache Spark. Stackable is different from other offerings that either push proprietary solutions or further vendor lock-in. All data apps are seamlessly integrated and can be added to or removed at any time. It runs anywhere, on-prem and in the cloud, based on Kubernetes. You only need stackablectl, a Kubernetes Cluster and stackablectl to run your stackable data platform. You will be able to work with your data within minutes. Configure your one line startup command here. Similar to kubectl stackablectl was designed to interface easily with the Stackable data Platform. Use the command-line utility to deploy and maintain stackable data apps in Kubernetes. You can create, delete and update components with stackablectl.
  • 14
    Iterative Reviews
    AI teams are faced with challenges that require new technologies. These technologies are built by us. Existing data lakes and data warehouses do not work with unstructured data like text, images, or videos. AI and software development go hand in hand. Built with data scientists, ML experts, and data engineers at heart. Don't reinvent your wheel! Production is fast and cost-effective. All your data is stored by you. Your machines are used to train your models. Existing data lakes and data warehouses do not work with unstructured data like text, images, or videos. New technologies are required for AI teams. These technologies are built by us. Studio is an extension to BitBucket, GitLab, and GitHub. Register for the online SaaS version, or contact us to start an on-premise installation
  • 15
    Coalesce Reviews
    It takes a lot time and manual coding to build and manage a fully documented data project. But not anymore. We can show you how we can help transform data faster. Column-aware architecture allows for reusable data patterns and change management at large scale. For safer and more predictable data operations, visibility is key to change management and impact analysis. Coalesce offers curated packages that use best-practice templates to generate native-SQL for Snowflake™ automatically. Have a unique need? Templates are easily customizable. Coalesce makes it easy to navigate your data pipeline. Every screen and button are designed to give you easy access to all the information you need. Your data team has greater control over every project. You can instantly see audit and project history, as well as code comparisons side-by-side. Automatically, lineage at the table- and column-levels is provided and kept up-to-date.
  • 16
    XetHub Reviews
    As you experiment with full history and recovery, confidently branch, review, merge, and review data. For always-in-sync development, and guaranteed reproducibility, track your code and data together. Automate reports, audit access, manage metadata, and more in one central location. XetHub is perfect for teams that already use Git to track code changes and want to take advantage of the power and flexibility of infinite history, pull request, and difference-based tracking to track larger assets like media files or datasets. For workflows that use code for generating or augmenting assets, managing complete projects with familiar Git semantics is easy.
  • 17
    Kestra Reviews
    Kestra is a free, open-source orchestrator based on events that simplifies data operations while improving collaboration between engineers and users. Kestra brings Infrastructure as Code to data pipelines. This allows you to build reliable workflows with confidence. The declarative YAML interface allows anyone who wants to benefit from analytics to participate in the creation of the data pipeline. The UI automatically updates the YAML definition whenever you make changes to a work flow via the UI or an API call. The orchestration logic can be defined in code declaratively, even if certain workflow components are modified.
  • 18
    ProxySQL Reviews
    ProxySQL has an advanced multi-core architectural design that supports hundreds of thousands concurrent connections multiplexed across thousands of servers. ProxySQL allows sharding based on user, schema, or table using the advanced query engine or customized plugins. ProxySQL can change SQL statements on-the-fly, so the development team doesn't have to rewrite queries from ORMs or packaged packages. ProxySQL has been tested in the field. The numbers show that performance is the top priority. ProxySQL, an open-source database protocol aware proxy, is a high performance, high-availability, high-performance proxy for MySQL and PostgreSQL. ProxySQL, a robust SQL proxy that acts as a bridge between database servers and clients, offers a variety of features to streamline database operations. ProxySQL enables organizations to maximize the potential of their database infrastructure.
  • 19
    IBM InfoSphere Data Architect Reviews
    Data design software that allows you to model, link, standardize, and integrate distributed data assets across your enterprise. IBM InfoSphere®, Data Architect is a collaborative enterprise-level data modeling and design tool that can simplify and accelerate integration design in business intelligence, master data management, and service-oriented architecture initiatives. InfoSphere Data Architect allows you to collaborate with users at all stages of the data design process: from project management to application development to data design. This tool can help you align processes, applications, and data architectures. Simple warehouse design, dimensional modelling and change management tasks reduce development time. You also have the tools to design and manage warehouses using an enterprise logical model. Column-organized tables that are time stamped and column-organized provide a better understanding of data assets, which can help increase efficiency while reducing time to market.
  • 20
    GenRocket Reviews
    Enterprise synthetic test data solutions. It is essential that test data accurately reflects the structure of your database or application. This means it must be easy for you to model and maintain each project. Respect the referential integrity of parent/child/sibling relations across data domains within an app database or across multiple databases used for multiple applications. Ensure consistency and integrity of synthetic attributes across applications, data sources, and targets. A customer name must match the same customer ID across multiple transactions simulated by real-time synthetic information generation. Customers need to quickly and accurately build their data model for a test project. GenRocket offers ten methods to set up your data model. XTS, DDL, Scratchpad, Presets, XSD, CSV, YAML, JSON, Spark Schema, Salesforce.
  • 21
    OpsHub Reviews
    OpsHub Integration Manager can be configured to sync data between any of the 50+ tools within the ALM ecosystem. OIM offers an intuitive user experience and an easy-to use interface that allows users to configure the integration. OIM is designed to be resilient and ensures consistency of data between the systems being integrated. Businesses with heterogeneous IT environments need agile integration that can quickly put their entire value stream on the right track and be a partner for their digital transformation. It is essential to optimize processes and keep every step connected in order to remain competitive in today's digital economy. OpsHub is an enterprise-class integration platform that has been transforming clients’ value stream for more than two decades.
  • 22
    Kovair QuickSync Reviews
    Kovair QuickSync provides a cost-effective, one-stop, wide-ranging data migration solution for all industries. Kovair QuickSync, a Windows-based desktop software solution, is easy to install and use. It requires very little infrastructure to operate, making it an extremely cost-effective and efficient solution in the industry. It can be used to transfer data from one source into one target, as well as multiple sources to one target. Its intuitive UI makes it easy to adapt and adorable for users. It has a built-in disaster recovery system and remigration capability that ensure 100% data migration without data loss. Template-based migration is supported. Once the configuration has been completed for one project, it can be reused for other projects. This provides real-time updates on the status of migration.
  • 23
    Code Ocean Reviews
    The Code Ocean Computational Workbench improves usability, coding, data tool integration, DevOps, and lifecycle tasks. It closes technology gaps by providing a highly intuitive, ready to use user experience. Ready-to-use RStudio and Jupyter, Shiny. Terminal. And Git. You can choose from many popular languages. Access to any storage type and size data. Create and configure Docker environments. Access to AWS compute resources in one click. Researchers can share their results using the Code Ocean Computational Workbench panel app panel by creating and publishing simple-to-use web analysis apps that are point-and-click. This is possible without the need for any IT or coding. Create and deploy interactive analysis. Use standard web browsers. It is easy to share and collaborate. Easy to use and reuse. Researchers can quickly organize, publish, secure, and secure project-based Compute Capsules and data assets with this easy-to-use app and repository.
  • 24
    DataKitchen Reviews
    You can regain control over your data pipelines and instantly deliver value without any errors. DataKitchen™, DataOps platforms automate and coordinate all people, tools and environments within your entire data analytics organization. This includes everything from orchestration, testing and monitoring, development, and deployment. You already have the tools you need. Our platform automates your multi-tool, multienvironment pipelines from data access to value delivery. Add automated tests to every node of your production and development pipelines to catch costly and embarrassing errors before they reach the end user. In minutes, you can create repeatable work environments that allow teams to make changes or experiment without interrupting production. With a click, you can instantly deploy new features to production. Your teams can be freed from the tedious, manual work that hinders innovation.
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