7 Best ETL Automation Testing Tools (2024)

ETL testing is performed before moving data into a production data warehouse system. It is also known as table balancing or production reconciliation. The main goal of ETL testing is to identify and mitigate data defects.

I have spent 85+ hours researching 47 ETL automation testing tools to bring you the top 7. This well-researched and trusted guide highlights key features, pros and cons, and pricing. For a comprehensive understanding of these tools, read the full article. My professional insights offer the credible information you need to make an informed decision.

Best ETL Automation Testing Tools: Top Picks

1) iceDQ

iceDQ is a DataOps platform for Data Testing and Monitoring. I tested its rules-based auditing, which allows you to automate ETL Testing, Cloud Data Migration Testing, and Production Data Monitoring. It might be helpful to look into this for your projects.

Features:

• Rule Creation: I could create rules to test transformations, duplicates, schema, and Type II Dimension. This ensures data integrity.
• Reporting: It lets me use the built-in dashboard or enterprise reporting tools like Tableau, Power BI, and Qlik for generating insightful reports. This may help in better decision-making.
• DataOps Integration: It enables DataOps by allowing users to integrate with any Scheduling, GIT, or DevOps tool. I benefitted from using this seamless integration.
• Scalability: The highly scalable in-memory engine evaluates billions of records efficiently. It allowed me to handle massive datasets convincingly.
• Connectivity: It lets me connect to databases, files, API, and BI Reports with over 50 available connectors. This provides extensive integration options.
• Enterprise Product Integration: The tool integrates smoothly with different enterprise products like Slack, Jira, ServiceNow, Alation, and Manta. It is perfect for enhancing collaboration.
• Security: It comes with single sign-on, advanced RBAC, and encryption features, ensuring robust data security. 
• Deployment Flexibility: Deploy it anywhere, whether on-prem, AWS, Azure, or GCP. It allowed me to choose the most suitable environment.

Pricing Plans:

• Free Trial: 30-day free trial
• Live Demo: Available

Visit iceDQ >>

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2) DataTrust

During my evaluation, I found that RightData’s DataTrust platform provides the tools to trust my data for decision-making. As a no-code data observability platform, it detects anomalies, generates business rules, and validates data. It works for both one-time migrations and ongoing data operations.

Features:

• Data Reconciliation: It allowed me to seamlessly reconcile data across single or multiple sources for enhanced data integrity and consistency.
• Machine Learning Business Rules: I could effortlessly generate business rules using advanced ML algorithms. It allowed me to seamlessly accept, modify, or discard them as per my requirements.
• Table Comparison: DataTrust compares row counts and checksums across multiple tables at the schema level. It helped me ensure data accuracy.
• Bulk Data Validations: It offers optimized validation across tables using source compute without ingestion. I benefitted from using this feature for large datasets.
• Executive Reporting: DataTrust offers interactive executive reports with quality insights and personalized drill-down filters.

Pricing Plans:

• Price: Contact salesperson
• Free Trial: 30-day free trial

Visit DataTrust >>

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3) BiG EVAL

BiG EVAL automates testing tasks in data projects such as data analytics, data warehouses, ETL/ELT, and data migrations. I particularly appreciate the unique automation approach and simple user interface that ensure quick results. According to my review, it is perfect for achieving efficient outcomes quickly.

Features:

• Autopilot Testing: Using the autopilot testing feature driven by metadata, I could leverage test coverage massively, ensuring comprehensive evaluations.
• Customizable Test Algorithms: It offers fully customizable test algorithms, rules, and test behavior, adapting to your specific needs. I could tailor the tests to my requirements.
• Best Practices Templates: A gallery with hundreds of best practices test case templates is ready to be used, simplifying the setup process. I could save much of my time by using these project templates. 
• Insightful Dashboards: Deep insight analysis with clear dashboards and alerting processes informs you of all critical metrics. It offered me a great way to track progress easily.
• Tool Integration: Its integration with hundreds of tools (e.g., Jira, ServiceNow, Slack, Teams) ensures seamless workflow and collaboration.
• DataOps and DevOps Integration: Embeddable into DataOps processes and DevOps CI/CD flows, it supports continuous integration and delivery pipelines.
• Data Connectors: It has hundreds of connectors to various data sources (RDBMS, APIs, Flatfiles, Business applications, SaaS). These connectors ensure flexibility in handling different types of data.

Pricing Plans:

• Price: BiG EVAL LAUNCH monthly plan starts at $89
• Free Trial: 14-day free trial

Visit BiG EVAL >>

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4) QuerySurge

QuerySurge is an ETL testing solution developed by RTTS. After analyzing it, I noticed it was built to automate testing for data warehouses and big data. According to my review, it ensures the extracted data remains intact in the target systems.

Features:

• Data Quality & Governance: I could improve data quality and governance for more reliable and accurate datasets.
• Data Delivery Cycles: It lets me accelerate my data delivery cycles, reducing time to market significantly.
• Automated Testing: The tool helped me automate manual testing efforts, increasing efficiency and reducing errors.
• Platform Testing: It provides testing across different platforms like Oracle, Teradata, IBM, Amazon, and Cloudera, ensuring compatibility.
• Testing Speed & Coverage: QuerySurge speeds the testing process up to 1,000x, offering up to 100% data coverage.
• DevOps Integration: The tool integrates an out-of-the-box DevOps solution for most Build, ETL, and QA management software.
• Email Reports & Dashboards: It delivers shareable, automated email reports and data health dashboards for better insights.

Pricing Plans:

• Price: Full user SUBSCRIPTION for $5,747
• Free Trial: 15-day free trial

Visit QuerySurge >>

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5) Informatica Data Validation:

Informatica Data Validation is a popular ETL tool. I reviewed and found it to be a top data testing tool that works with the PowerCenter Repository and Integration Services. It allows developers and analysts to create rules for testing mapped data.

Features:

• Comprehensive Validation: Informatica Data Validation provided me with a complete data validation and integrity solution.
• Reduced Programming Effort: The tool’s intuitive user interface and built-in operators reduced my overall programming efforts.
• Productivity Boost: It lets me identify and prevent data issues, increasing business productivity.
• SQL-Free Testing: The tool allows wizards to create test queries without writing SQL, which I found incredibly helpful.
• Design Library: This automated ETL testing tool offers a design library and reusable query snippets.
• Rapid Analysis: It can analyze millions of rows and columns of data in minutes, which I greatly benefitted from using.
• Data Comparison: Informatica helps compare data from source files and data stores to the target data warehouse.
• Informative Reporting: The tool can efficiently produce informative reports, updates, and auto-email results.

Pricing Plans:

• Price: Contact the sales and support team
• Free Trial: 30-day free trial

Download link: https://www.informatica.com/in/products/cloud-data-integration.html

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6) QualiDI

QualiDi helps clients cut costs, increase ROI, and speed up their time to market. I found that this ETL tool automates all parts of the testing lifecycle. In my experience, it is one of the best ETL automation tools that helps clients cut costs, boost ROI, and speed up time to market.

Features:

• Data Quality and Integration: It helps you efficiently find bad and non-compliant data. QualiDL allowed me to perform comprehensive data integration testing across various systems.
• Test Cycle Management: Managing test cycles through dashboards and reports was made easier, offering me great insights. I found that the testing process worked seamlessly across multiple platforms. 
• Automated Test Case Generation: Automated test case generation is available for direct mappings.
• Centralized Test Case Repository: A central test case repository allows test schedules for regression testing.
• Dashboard Reports: The test execution results are available in dashboards and reports at a click.
• Defect Tracking: Its built-in defect tracking and monitoring interfaces with a third-party defect tracking tool impressed me.

Pricing Plans:

• Price: Contact support team to get the best quotes
• Free Trial: Not available

Download link: https://www.bitwiseglobal.com/in/

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7) ETL Validator

Datagaps ETL Validator is a Data warehouse testing tool. As I evaluated it, I found it is a top-rated tool for testing data migration, data integration, and data warehouse projects. It helped me with its built-in ETL engine that can compare millions of records.

Features:

• Data Comparison: The tool lets me create a baseline for accurately comparing data to identify any differences. As a result, I could access precise data discrepancies.
• Automatic Data Validation: It lets me define rules for automatically validating data in every column in the incoming file.
• Database Schema Comparison: ETL simplifies the database schema comparison across different environments.
• Test Plan Assembly and Scheduling: It allowed me to assemble and schedule test plans with ease.
• Web-Based Reporting: I would rate it as one of the best data warehouse testing tools for web-based reporting.
• REST API and CI Features: The tool includes REST API and continuous integration features to streamline processes.
• Data Quality and Integration Testing: It offers robust data quality and data integration testing capabilities.
• Benchmarking Capabilities: ETL provides comprehensive benchmarking capabilities for performance analysis.

Pricing Plans:

• Free Trial: 15-day free trial
• Live Demo: Available

Download link: https://www.datagaps.com/etl-testing-tools/etl-validator-download/

What is ETL Testing?

ETL testing is a software testing process that ensures accurate data is loaded from a source to the destination after business transformation. It also involves verifying data at various middle stages used between source and destination. ETL stands for Extract-Transform-Load. If you are looking for solutions to streamline this process, you might be interested in exploring some of the best ETL tools available in the market.

Why is ETL Testing required?

While data transportation from extraction to loading, there are some chances of human or system errors that can result in poor information being transferred throughout the system. ETL testing helps ensure such errors do not occur and eliminates defects that can harm the whole system. Utilizing automated testing tools can further streamline this process and improve accuracy.

How to choose the best ETL Automation Testing Tool?

Choosing the best ETL automation testing tool is essential for efficient data integration. It helps you ensure data accuracy and consistency. Consider these factors to make an informed decision.

• Compatibility: Ensure the tool is compatible with your data sources and target systems. It might be helpful to check for support with databases, cloud services, and big data platforms.
• Usability: Aim to choose a tool with an intuitive interface. This may help reduce the learning curve for your team.
• Automation Features: Look for automation capabilities that streamline testing processes. The more features, the better.
• Scalability: Considering how well the tool can scale with your growing data needs is important. Pay attention to performance under load.
• Integration: Select a tool that integrates well with your existing CI/CD pipelines. This is typically required for continuous testing.
• Support and Documentation: One of the easiest ways to avoid issues is to choose a tool with robust support and comprehensive documentation.
• Cost: Keep in mind your budget and the total cost of ownership. It is best to weigh the features against the price.

How to do ETL Testing?

Below is a process on how to do ETL testing:

• Step 1) Identifying data sources and requirements
• Step 2) Data acquisition
• Step 3) Implement business logic and dimensional modeling
• Step 4) Build and populate data
• Step 5) Build reports

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Verdict

If you are deciding on the best ETL automation testing tools, check my verdict. In my experience, the best way to resolve issues and ensure smooth data integration is by leveraging robust and reliable ETL tools.

• iceDQ: It is an ideal ETL testing tool offering comprehensive data validation and testing solutions. The robust features and stable performance makes it a reliable option for enterprise-level data integration projects.
• DataTrust: DataTrust stands out as a reliable and secure ETL testing tool with excellent capabilities for data quality assurance. Its remarkable support for continuous integration makes it the greatest tool for ensuring data integrity.
• BiG EVAL: This tool is a customizable and cost-effective solution for ETL testing. It provides a powerful framework and ensures consistency in data management.