Best Test Management Tools for Amazon Redshift

Find and compare the best Test Management tools for Amazon Redshift in 2025

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

  • 1
    QuerySurge Reviews
    Top Pick
    QuerySurge is the smart Data Testing solution that automates the data validation and ETL testing of Big Data, Data Warehouses, Business Intelligence Reports and Enterprise Applications with full DevOps functionality for continuous testing. Use Cases - Data Warehouse & ETL Testing - Big Data (Hadoop & NoSQL) Testing - DevOps for Data / Continuous Testing - Data Migration Testing - BI Report Testing - Enterprise Application/ERP Testing Features Supported Technologies - 200+ data stores are supported QuerySurge Projects - multi-project support Data Analytics Dashboard - provides insight into your data Query Wizard - no programming required Design Library - take total control of your custom test desig BI Tester - automated business report testing Scheduling - run now, periodically or at a set time Run Dashboard - analyze test runs in real-time Reports - 100s of reports API - full RESTful API DevOps for Data - integrates into your CI/CD pipeline Test Management Integration QuerySurge will help you: - Continuously detect data issues in the delivery pipeline - Dramatically increase data validation coverage - Leverage analytics to optimize your critical data - Improve your data quality at speed
  • 2
    Eppo Reviews
    Eppo streamlines the process of conducting effective and trustworthy experiments by automating the analysis, diagnostics, and investigations directly within your data warehouse. It provides a centralized dashboard where your entire team can monitor various aspects of each experiment, including the metrics affected, their current status, confidence intervals, and additional metadata. The platform allows you to analyze traffic splits, verify the setup, formulate hypotheses, and much more. Experiment data in Eppo is configured using SQL snippets, ensuring a consistent and reliable source of truth for all metrics involved. All necessary data calculations are performed within your warehouse, guaranteeing that no raw events exit your system. Additionally, setting up experiment assignments in Eppo is straightforward, utilizing SQL snippets that draw from your data warehouse. Regardless of whether you're utilizing LaunchDarkly or a custom-built solution, as long as the data resides in your warehouse, it can be leveraged by Eppo. Furthermore, Eppo produces clear and comprehensible reports, making it accessible for team members who may not have formal training in statistics to interpret and utilize effectively. This accessibility promotes collaboration and informed decision-making across diverse teams.
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