Best Data Virtualization Software for Apache Hive

Compare the Top Data Virtualization Software that integrates with Apache Hive as of November 2025

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

What is Data Virtualization Software for Apache Hive?

Data virtualization tools allow IT teams to enable applications to view and access data while obscuring the location of the data, and other identifying aspects of the data. Data virtualization software enables the use of virtual data layers. Compare and read user reviews of the best Data Virtualization software for Apache Hive currently available using the table below. This list is updated regularly.

  • 1
    Lyftrondata

    Lyftrondata

    Lyftrondata

    Whether you want to build a governed delta lake, data warehouse, or simply want to migrate from your traditional database to a modern cloud data warehouse, do it all with Lyftrondata. Simply create and manage all of your data workloads on one platform by automatically building your pipeline and warehouse. Analyze it instantly with ANSI SQL, BI/ML tools, and share it without worrying about writing any custom code. Boost the productivity of your data professionals and shorten your time to value. Define, categorize, and find all data sets in one place. Share these data sets with other experts with zero codings and drive data-driven insights. This data sharing ability is perfect for companies that want to store their data once, share it with other experts, and use it multiple times, now and in the future. Define dataset, apply SQL transformations or simply migrate your SQL data processing logic to any cloud data warehouse.
  • 2
    SAS Federation Server
    Create federated source data names to enable users to access multiple data sources via the same connection. Use the web-based administrative console for simplified maintenance of user access, privileges and authorizations. Apply data quality functions such as match-code generation, parsing and other tasks inside the view. Improved performance with in-memory data caches & scheduling. Secured information with data masking & encryption. Lets you keep application queries current and available to users, and reduce loads on operational systems. Enables you to define access permissions for a user or group at the catalog, schema, table, column and row levels. Advanced data masking and encryption capabilities let you determine not only who’s authorized to view your data, but also what they see on an extremely granular level. It all helps ensure sensitive data doesn’t fall into the wrong hands.
  • 3
    Data Virtuality

    Data Virtuality

    Data Virtuality

    Connect and centralize data. Transform your existing data landscape into a flexible data powerhouse. Data Virtuality is a data integration platform for instant data access, easy data centralization and data governance. Our Logical Data Warehouse solution combines data virtualization and materialization for the highest possible performance. Build your single source of data truth with a virtual layer on top of your existing data environment for high data quality, data governance, and fast time-to-market. Hosted in the cloud or on-premises. Data Virtuality has 3 modules: Pipes, Pipes Professional, and Logical Data Warehouse. Cut down your development time by up to 80%. Access any data in minutes and automate data workflows using SQL. Use Rapid BI Prototyping for significantly faster time-to-market. Ensure data quality for accurate, complete, and consistent data. Use metadata repositories to improve master data management.
  • 4
    Varada

    Varada

    Varada

    Varada’s dynamic and adaptive big data indexing solution enables to balance performance and cost with zero data-ops. Varada’s unique big data indexing technology serves as a smart acceleration layer on your data lake, which remains the single source of truth, and runs in the customer cloud environment (VPC). Varada enables data teams to democratize data by operationalizing the entire data lake while ensuring interactive performance, without the need to move data, model or manually optimize. Our secret sauce is our ability to automatically and dynamically index relevant data, at the structure and granularity of the source. Varada enables any query to meet continuously evolving performance and concurrency requirements for users and analytics API calls, while keeping costs predictable and under control. The platform seamlessly chooses which queries to accelerate and which data to index. Varada elastically adjusts the cluster to meet demand and optimize cost and performance.
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