10 Best ETL Automation Testing Tools Reviews 2024

Comparison of the top ETL automation testing tools to provide your enterprise with accurate verification and data transformation acceleration:

ETL, which stands for Extract, Transform, and Load, is an integral data warehousing process that allows businesses to aggregate data from multiple sources to be stored in a central repository. The job of ETL automation software is to make this job more streamlined and time-efficient than it would’ve normally been.

ETL Test Automation Tool is an application for data testing, reconciliation, and validation. It offers the functionalities to identify the issues in data consistency, completeness, and gaps. It helps with analyzing, designing, building, executing, and automating the reconciliation and validation scenarios without programming.

What are ETL Automation Tools?

This tool provides the solution for key business challenges of credibility risk because of poor data quality, complex audit processes, lack of transparency, slower ROI, etc. The right suite of applications provides Data Quality Assurance, Data Integrity Audit, and Continuous Data Quality Control.

This software ensures that they gather only data with high quality and accuracy during the process. It achieves that by validating the source and destination of data being generated. Businesses today rely heavily on ETL automation software to improve data quality while simultaneously reducing their operational and execution costs.

That being said, the market is over-saturated with software that promises the world when it comes to ETL automation. Naturally, this makes the job of finding the right software for your business more difficult than it has any right to be. Fortunately, you have our expertise to rely on.

With the help of this article, we will share with you a list of ETL automation testing tools that are guaranteed to provide your enterprise with accurate verification and acceleration of data transformation at all key stages of a multi-level integration process.

List of Top ETL Automation Testing Tools

Some remarkable ETL test automation tools are listed here:

1. ActiveBatch
2. RunMyJobs by Redwood
3. RightData
4. Qlik
5. Datagaps ETL Validator
6. Hevo
7. iCEDQ
8. QualiDi
9. Bitwise QualiDI

Comparison of Top ETL Test Automation Tools

Detailed review:

#1) ActiveBatch (Our Recommendation)

Best for real-time ETL Automation and Data Warehousing.

ActiveBatch comes pre-integrated with a job library that consists of over a hundred connectors that can help IT teams streamline ETL and data warehousing processes. It comes with a fantastic drag-and-drop workflow designer, which does the job of building end-to-end workflows. These workflows can manage data across a variety of disparate systems.

ActiveBatch’s Service Library also benefits from full API accessibility, thus granting users the ability to load and execute RESTful services, WSDLs, SOAP web services, etc. With this API, ActiveBatch can integrate with and extend the benefits of multiple applications such as Hadoop, Informatica, and other kinds of ETL tools.

Features:

• Drag-and-drop workflow designer
• Advanced ETL Scheduling.
• Standardize Compliance Policies.
• Automate Big Data and Hadoop.

Pros:

• Supports various ETL, BI, and Data Warehouse tool integrations.
• Reduces time spent on data migration and testing.
• Expedite the process of ETL workloads.
• Streamline business rules across the entire organization.

Cons:

• Can be rather complex, so we wouldn’t recommend it to novice users.

Verdict: ActiveBatch is a highly reliable workload automation software offered by Redwood that can streamline the ETL process to benefit IT teams. It is a bit complex to use, but advanced IT professionals can put the tool to good use, i.e. simplifying data warehouses by effectively consolidating multiple data management tools.

Price: Contact for a quote.

#2) RunMyJobs by Redwood (Our Recommendation)

Best for quick and accurate data automation.

RunMyJobs by Redwood offers easy-to-use ETL automation software that works very well across your entire environment. It can easily integrate with ERP, CRM, and other financial tools. This also includes Big Data platforms and databases to identify and gather quality data.

RunMyJobs by Redwood allows you to efficiently build business processes directly into your existing BI, OLAP, and ETL tools. Absolutely no manual effort is required with Redwood taking care of ETL automation.

The platform ensures that it feeds analytical and warehouse tools with as many big data sources as you can manage to acquire accurate data in a timely fashion to drive your business growth.

Features:

• SAP-certified integrations with RISE, with SAP S/4HANA Cloud.
• Superior Data Automation.
• Get full visibility into the data pipeline process from a single point.
• Automatic delivery process documentation.
• Define criteria to run the process flow.
• Monitor progress in real time.
• Automated Exception Management.

Pros:

• Ensures superior data security and availability of data when needed.
• Eliminate failures by leveraging its automated exception management capabilities.
• Balance loads intelligently and dynamically.
• Pull data from any application or database.

Cons:

• Be technically sound to operate this platform.

Verdict: The ability to automate ETL processes through RunMyJobs by Redwood allows you to pull data quickly and securely from across the entire enterprise. It doesn’t matter what technology platform you’re using. With RunMyJobs by Redwood by your side, you can rest assured of rapidly feeding your data warehouse.

Price: Contact for a quote.

Further Reading =>> RunMyJobs by Redwood alternatives with comparison

#3) RightData

RightData is best for achieving Data Quality Assurance, Data Integrity Audit, and Continuous Data Quality Control.

RightData has a set of tools for Data Quality Assurance, Data Integrity Audit, and Continuous Data Quality Control. It has the capabilities of automated validation and reconciliation. It offers the solutions of ETL Testing, Data Migration Testing, SAP Data Testing, Big Data Testing, and DevOps to DataOps Testing, etc.

To perform the data testing, comparing two data sets is a significant part. RightData can compare two data sets from homogeneous or heterogeneous systems of similar and distinct data models. There are two different types of reconciliation scenarios, TDR and FDR.

Features:

• RightData has features for analyzing source and target datasets.
• A wide range of data sources is supported by RightData such as RDBMS.
• Its rule-based data validation engine has an easy-to-use interface.
• It offers features for administration & CMS, reporting & collaboration, validating datasets, etc.
• It has features for database upgrade testing, big data ingest layer testing, Data warehouse Staging Extract & Load Testing, and Master Data Testing.

Verdict: RightData has tools to improve the quality, integrity, and reliability of the data. It offers solutions for various key business challenges such as lack of comprehensive data quality, complex audit processes, lack of transparency, slower ROI, etc.

Price: There are three types of licensing models available with RightData, Subscription, Perpetual, and User Type (Named User Licenses). You can get a demo or trial for the tool. A price quote will be available on request.

=> Visit RightData Website

#4) Qlik

Best for Big Data Management and Data Integration.

Qlik offers robust ETL automation software via a remarkable data warehouse automation tool. Thanks to its GUI-driven design and ability to quickly create data warehouses, Qlik emerges as one of the most impressive data replication and integration platforms encountered.

The platform supports real-time ETL to feed the cleanest data possible to your data warehouse.

Qlik can pull data from a wide range of platforms, which include major databases, business applications, and mainframes. The platform can help you accelerate ETL offloading to Hadoop environments.

Features:

• In-Memory Stream Processing.
• Real-time data warehousing.
• Accelerated ETL Offloading to Hadoop environment.
• GUI Driven Design.

Pros:

• Pulls data from a broad range of databases, mainframes, and applications.
• Data Warehouse Automation.
• Enable continuous loading of data in real-time.
• Integrate seamlessly with several third-party apps.

Cons:

• The set commands are not simpler.

Verdict: Businesses seeking an ETL automation platform that grants you to pull data from a broad range of sources, including major databases and business applications, will find plenty to admire about Qlik. The platform facilitates the continuous loading of data to your data warehouses and big data platforms.

Price: Contact for a quote.

Website: Qlik

#5) Datagaps ETL Validator

Best for ETL and Data Testing.

As the name suggests, this is quite an impressive ETL validator/testing tool developed by the ever-reliable Datagaps. The software allows you to validate the ETL process while data is being migrated. The software comes in-built with an ETL engine that can extract data from millions of data sources and compare them while simultaneously running test cases.

Perhaps the best part about this tool is the visual test case builder. This unique drag-and-drop builder allows you to quickly build queries that can define tests without manually typing in queries. Aside from this, the software is jam-packed with features that push the limits of what an ETL automation tool can accomplish.

Features:

• ETL Testing Automation
• Visual Test Care Builder
• Data Quality Testing
• Baselining capabilities
• Flat File testing

Pros:

• Allows testing of incremental ETL.
• Helps perform audit changes to metadata.
• Define data rules using a data model-driven interface.
• Compare data across multiple different platforms.

Cons:

• The user interface is quite basic.

Verdict: Despite a basic-looking UI, Datagaps ETL Validators is still one of the best ETL tools you can use to extract data from multiple sources into your data warehouse. It comes packed with features, which also include a unique visual drag-and-drop builder to build queries.

Price: Contact for a quote.

Website: Datagaps ETL Validator

#6) Hevo

Best for integration with 150+ Connectors.

Hevo makes it to the list because of its ability to extract data from over 150 data sources. It does so in real time via a no-code UI. There is no virtual maintenance required when using this software, thanks to its impressive reliability and automation.

You can load data into your warehouse using this software in real time. You have full control over the data that lands in the data warehouse with preload transformations. The software also provides you with data for analytics as it arrives at the warehouse via powerful data models and workflows.

Features:

• Connect with over 15O integrations.
• Automated Schema Mapping.
• Preload Transformations.
• Prepare analytics-ready data.

Pros:

• No-code UI, so it’s very easy to operate.
• Pull data in real-time from 150 sources.
• Data-driven action
• Keep data updated with CDC.

Cons:

• Needs more data recovery destinations.

Verdict: With Hevo, you are getting more than just a typical ETL automation software. You have an end-to-end pipeline management system that can easily extract data from more than 150 sources to warehouses, perform transformations on them for analytics, and arm business tools with operational intelligence.

Price: Free plan available. The Starter Plan starts at $249/month. A Custom Business Plan is also available.

Website: Hevo

#7) iCEDQ

Best for Data Testing and Automation.

We recommend iCEDQ because of its approach to quality assurance, data testing, and monitoring. With a powerful in-built in-memory rules execution engine that is highly scalable, you get to validate large datasets to conveniently meet complex and demanding SLAs.

Thanks to its superior automation capabilities, the software is easy to deploy and effective in lowering costs.

Features:

• Data Migration Testing
• Data Warehouse Testing
• BI Report Testing
• ETL Testing
• Production Data Monitoring

Pros:

• Easy to use
• Batch execution is impressive.
• Very simple to toggle between data connections.
• Allows you to ignore rule failures under certain circumstances.

Cons:

• Users have reported getting errors due to sorting orders.

Verdict: iCEDQ does a good job of simplifying your ETL and data warehousing testing landscape. It lays heavy emphasis on automating the entire ETL process from end to end so issues can be analyzed and fixed without any hassle.

Price: Contact for a quote

Website: iCEDQ

#8) QualiDi

Best for centralizing tests of Multiple ETL tools.

With QualiDi, businesses get an end-to-end ETL testing and automation tool that can centralize testing for one or more ETL platforms. The software can automate ETL testing from any operating system to any data warehouse. QualiDi facilitates comparison between manual data sampling and transformed data.

Features:

• Centralized Repository
• Optimized Data Handling.
• Empowering the CI/CD Pipeline.
• Early defect detection.
• Shift left testing.

Pros:

• The software makes it easier to accommodate requests for changes and enhancements.
• Can execute automation tests on heterogeneous data sources.
• It can produce compliant, production-like test data.
• Can generate complex transformations very quickly.

Cons:

• Support leaves a lot to be desired.

Verdict: QualiDi is an ETL automation tool that businesses can use to cut their expenses and boost ROI. The tool can automate every single element of the test cycle, which makes it incredibly effective and efficient.

Price: Contact for a quote.

Website: QualiDi

#9) Bitwise QualiDI ETL Test Automation Platform

Best for all ETL testing requirements.

Bitwise QualiDI ETL Test Automation Platform is an end-to-end platform that has capabilities to centralize testing of one or more ETL tools. It has a built-in tool named Business Rules Engine. It can be used by non-technical users for writing rules and the Business Rules Engine can create queries out of it. It supports a heterogeneous set of data stores.

Features:

• Business Rules Engine can generate queries for complex transformations.
• It has functionalities for automated test creation, automated data compression, and test scheduling.
• It offers various advanced features like Jira integration, Big Data testing, and support for complex transformation rules, etc.
• It offers features for administration, reporting, and tracking.

Verdict: The testing process will become fast with the use of this tool. It will let you test across multiple platforms. Test suites created will be reusable. This agile ETL test automation tool is easy to manage and provides more flexibility.

Price: You can get a quote for pricing details.

#10) Codoid

Best for data analytics testing services. It offers high-end tools and automation testing capabilities.

Codoid ETL and Data Analytics Testing Services will validate the data quality. It works by extracting the data from heterogeneous data sources, transforming it, and loading it into a data warehouse system. Along with production data validation, it can provide the services of application upgrade testing, validating source to target, testing for data completeness, metadata testing, etc.

Features:

• Codoid provides automated metadata testing services such as verifying data types, data length, index, etc.
• Its data quality testing services can identify syntax issues, errors caused by incorrect reference types, etc.
• It has features to perform production data validation.

Verdict: Codoid data analytics testing services will provide the benefits of test coverage, quality insight, testing efficiency, and collaboration. It has expertise in performing analytics testing. It can provide services to review from a data model to data integrity. Codoid offers services with competitive pricing.

Price: You can get a quote for pricing details.

#11) Ab Initio

Best for working in any environment.

Ab Initio offers an application development and execution platform, Co>Operating System. It can be deployed in any operational or analytics environment and hence can work anywhere. It can process complex legacy data. It provides high performance. It is a scalable system. It has features to implement highly complex logic.

Features:

• Ab Initio has a subsystem to detect and correct data quality issues.
• It provides features for storing, retrieving, and viewing the records of the issue-reporting database.
• Its data quality reporting system can be integrated with other enterprise metadata, data quality metrics, and error counts.

Verdict: Ab Initio offers a data quality solution that can be used by small to large businesses. It will let the businesses select solutions as per the requirements. Its data quality building blocks can be integrated with existing infrastructure.

Price: Ab Initio has not mentioned the pricing details of the tool.

#12) IBM DataStage

Best for IBM Cloud Pak® for data and providing high-quality data.

IBM DataStage is a platform with capabilities of AI-powered data integration. It has a container-based architecture. It can be deployed on-premises and in the cloud. The Enterprise Plus plan offers the functionalities of Data cleansing & enrichment and Data quality monitoring & validation. IBM DataStage Flow Designer is a machine learning-assisted tool.

Features:

• IBM DataStage provides speed workload execution with features of workload balancing and a parallel engine.
• You can separately perform the ETL job design and deploy it on any cloud.
• It has features of ETL/data integration, metadata management, automatic management, and automatic load balancing, and elastic scaling.
• It has a parallel engine and automated load-balancing features.

Verdict: IBM DataStage can be used across various industry verticals such as Banking & Financial, Healthcare, Retail & Consumer products, energy & utilities, etc. It has an extensive set of pre-built connectors and stages. IBM DataStage Flow Designer has a user-friendly interface.

Price: IBM DataStage is available in three editions, IBM DataStage Enterprise Plus, IBM DataStage Enterprise, and IBM DataStage. You can get a quote for pricing details.

#13) Original Software TestBench

Best for testing and the management of test data for IBM i, IBM iseries, and AS/400.

TestBench IBM i Data Validation services can track every database activity. You can create the rules and the platform will flag the data failures automatically. It offers functionalities for test data management, verification, and unit testing. TestBench IBM i can be integrated with other tools to get the complete application quality.

TestBench IBM i Modules has modules for data extraction, data masking, data validation, data reset, file & report compare, and unit testing.

Features:

• TestBench IBM i Data Validation module provides the functionalities for tracking every insert, update, and deletion.
• It will let you create rules for data failures so that you will be notified automatically.
• It can track every database activity.

Verdict: TestBench IBM i is a comprehensive tool with various modules of data extraction and data validation, etc. Every insert, update, and delete can be tracked during a test in the database tables and data areas with the help of this tool.

Price: TestBench price starts at $1200. It offers multiple solutions such as TestDrive, TestBenchQA, Data Validation, etc. and pricing will change accordingly. A trial will be available on request.

Why Should Businesses Automate ETL Testing

Manually performing the ETL testing is a labor-intensive and error-prone process. ETL Test automation will make frequent execution of the smoke and regression test cases, and that too without human intervention. These tools will also help you with designing and managing these tests.

ETL projects are complex as they include the processing of a huge amount of data. Often the data from multiple sources is combined and needs to be loaded as per requirements such as full or incremental. Automating these complex processes will help you to get high-quality data. Also, recurrent testing is required to resolve more and more bugs.

Automating ETL testing can save a lot of time. In this tutorial, we will review and compare the top ETL Test Automation tools to help you select the one best suited to your requirements.

FAQs

Final Thoughts on Best ETL Automation Testing Tools

ETL is one of the most critical aspects of data warehousing. However, it also tends to be the most time-consuming. Fortunately, many companies today have managed to save money and time by investing in automation tools that streamline this fundamental process. That is precisely what the software recommended above does.

They can help developers, IT teams, and data analysts execute ETL processes in a relatively quick and efficient fashion. These real-time data warehousing solutions expand on the benefits of ETL automation and effectively accelerate high-volume data extraction.

As for our recommendations for hassle-free, feature-rich ETL automation, we would suggest you give RunMyJobs by Redwood, ActiveBatch, or Qlik a try.

Research Process:

• We spent 15 hours researching and writing this article so you can have summarized and insightful information on which ETL automation software will best suit you.
• Total tools researched: 15
• Total tools shortlisted: 7