Compare the Top ETL Software that integrates with Splunk SOAR as of November 2025

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

What is ETL Software for Splunk SOAR?

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 Splunk SOAR currently available using the table below. This list is updated regularly.

  • 1
    Google Cloud BigQuery
    BigQuery is an ideal tool for Extract, Transform, Load (ETL) processes, enabling businesses to automate data ingestion, transformation, and loading for analytics. It allows users to transform raw data into useful formats using SQL queries and integrates with various ETL tools to streamline workflows. The platform’s scalability ensures that ETL jobs run smoothly, even with vast amounts of data. New users can take advantage of the $300 in free credits to explore BigQuery’s ETL capabilities and experience the seamless processing of data for analytics. With its high-performance query engine, BigQuery ensures that ETL processes are fast and efficient, regardless of data size.
    Starting Price: Free ($300 in free credits)
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  • 2
    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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