Compare the Top ETL Software for Linux as of April 2025

What is ETL Software for Linux?

ETL software is used to extract, transform and load data between multiple databases in order to organize and structure it for further analysis. Compare and read user reviews of the best ETL software for Linux currently available using the table below. This list is updated regularly.

  • 1
    QuerySurge
    QuerySurge leverages AI to automate the data validation and ETL testing of Big Data, Data Warehouses, Business Intelligence Reports and Enterprise Apps/ERPs with full DevOps functionality for continuous testing. Use Cases - Data Warehouse & ETL Testing - Hadoop & NoSQL Testing - DevOps for Data / Continuous Testing - Data Migration Testing - BI Report Testing - Enterprise App/ERP Testing QuerySurge Features - Projects: Multi-project support - AI: automatically create datas validation tests based on data mappings - Smart Query Wizards: Create tests visually, without writing SQL - Data Quality at Speed: Automate the launch, execution, comparison & see results quickly - Test across 200+ platforms: Data Warehouses, Hadoop & NoSQL lakes, databases, flat files, XML, JSON, BI Reports - DevOps for Data & Continuous Testing: RESTful API with 60+ calls & integration with all mainstream solutions - Data Analytics & Data Intelligence:  Analytics dashboard & reports
  • 2
    Singular

    Singular

    Singular

    Singular empowers marketers to futureproof their growth with next-gen attribution and analytics. We provide a holistic solution that combines mobile attribution with industry-leading cost aggregation, flexible ROI analytics, and automatic loading directly into your BI tools. With Singular you are able to - Measure and report on all the channels you work with - Analyze ROI by combining attribution with leading cost aggregation - Track and analyze across the entire user lifecycle - Block more fraud with best-in-class fraud prevention - Monitor a single managed pipeline with a plug-and-play solution to extract, transform and load analysis-ready marketing data into your chosen data warehouse Top marketers from LinkedIn, Rovio, Microsoft, Lyft, Twitter, EA, and more, rely on Singular for a complete view of their marketing performance.
  • 3
    Jaspersoft

    Jaspersoft

    Cloud Software Group

    Jaspersoft® commercial edition has everything you need to design and deliver any report you need. We’ve spent over two decades perfecting our platform so you can deliver the data visualizations and analytics your customers want, from high volumes of pixel perfect reports to self-service ad hoc reports and more. JasperReports Server provides a drag-and-drop environment that makes it easy to design, distribute and securely manage self-service ad hoc and other reports, dashboards, and visualizations. Jaspersoft Studio features the industry’s most advanced design environment, enabling you to create highly formatted, pixel-perfect designed reports and data visualizations. JasperReports® Web Studio is the web-based version of desktop Jaspersoft Studio. JasperReports IO is a reporting engine designed for modern cloud and microservices architectures allowing you to generate reports that are fast, highly interactive, and seamlessly embeddable into modern web applications.
  • 4
    IRI Voracity

    IRI Voracity

    IRI, The CoSort Company

    Voracity is the only high-performance, all-in-one data management platform accelerating AND consolidating the key activities of data discovery, integration, migration, governance, and analytics. Voracity helps you control your data in every stage of the lifecycle, and extract maximum value from it. Only in Voracity can you: 1) CLASSIFY, profile and diagram enterprise data sources 2) Speed or LEAVE legacy sort and ETL tools 3) MIGRATE data to modernize and WRANGLE data to analyze 4) FIND PII everywhere and consistently MASK it for referential integrity 5) Score re-ID risk and ANONYMIZE quasi-identifiers 6) Create and manage DB subsets or intelligently synthesize TEST data 7) Package, protect and provision BIG data 8) Validate, scrub, enrich and unify data to improve its QUALITY 9) Manage metadata and MASTER data. Use Voracity to comply with data privacy laws, de-muck and govern the data lake, improve the reliability of your analytics, and create safe, smart test data
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