Compare the Top Data Virtualization Software that integrates with Amazon S3 as of October 2025

This a list of Data Virtualization software that integrates with Amazon S3. Use the filters on the left to add additional filters for products that have integrations with Amazon S3. View the products that work with Amazon S3 in the table below.

What is Data Virtualization Software for Amazon S3?

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 Amazon S3 currently available using the table below. This list is updated regularly.

  • 1
    data.world

    data.world

    data.world

    data.world is a fully managed service, born in the cloud, and optimized for modern data architectures. That means we handle all updates, migrations, and maintenance. Set up is fast and simple with a large and growing ecosystem of pre-built integrations including all of the major cloud data warehouses. When time-to-value is critical, your team needs to solve real business problems, not fight with hard-to-manage data software. data.world makes it easy for everyone, not just the "data people", to get clear, accurate, fast answers to any business question. Our cloud-native data catalog maps your siloed, distributed data to familiar and consistent business concepts, creating a unified body of knowledge anyone can find, understand, and use. In addition to our enterprise product, data.world is home to the world’s largest collaborative open data community. It’s where people team up on everything from social bot detection to award-winning data journalism.
    Starting Price: $12 per month
  • 2
    AWS Glue

    AWS Glue

    Amazon

    AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning, and application development. AWS Glue provides all the capabilities needed for data integration so that you can start analyzing your data and putting it to use in minutes instead of months. Data integration is the process of preparing and combining data for analytics, machine learning, and application development. It involves multiple tasks, such as discovering and extracting data from various sources; enriching, cleaning, normalizing, and combining data; and loading and organizing data in databases, data warehouses, and data lakes. These tasks are often handled by different types of users that each use different products. AWS Glue runs in a serverless environment. There is no infrastructure to manage, and AWS Glue provisions, configures, and scales the resources required to run your data integration jobs.
  • 3
    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.
  • 4
    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.
  • 5
    IBM InfoSphere Information Server
    Set up cloud environments quickly for ad hoc development, testing and productivity for your IT and business users. Reduce the risks and costs of maintaining your data lake by implementing comprehensive data governance, including end-to-end data lineage, for business users. Improve cost savings by delivering clean, consistent and timely information for your data lakes, data warehouses or big data projects, while consolidating applications and retiring outdated databases. Take advantage of automatic schema propagation to speed up job generation, type-ahead search, and backwards capability, while designing once and executing anywhere. Create data integration flows and enforce data governance and quality rules with a cognitive design that recognizes and suggests usage patterns. Improve visibility and information governance by enabling complete, authoritative views of information with proof of lineage and quality.
    Starting Price: $16,500 per month
  • 6
    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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