Skip to main content
Data Engineering & Testing
10 Best ETL Testing Automation Tools For QA Teams In 2022

ETL (extract, transform, and load) processes enable businesses to aggregate data from multiple sources into a central repository. The best ETL testing automation tools ensure data with high quality and accuracy is generated during the process by comparing and validating source and destination data. 

The 10 best ETL testing automation tools for QA tools in 2022 provide accurate verification and acceleration of data transformation at various stages of a multi-level integration process. They improve confidence in data quality while reducing operational and execution costs for businesses.

The Best ETL Testing Automation Software Shortlist

Here’s the list of the best tools that I’ll cover in this article.

  1. RightData

    Popular, no-code solution that simplifies data testing, stewardship, and governance

  2. ETL Validator

    Versatile in accommodating various data types, data sources, and huge volumes for Big Data ETL testing

  3. iCEDQ

    Vendor-agnostic, DataOps platform that excels in end-to-end testing of data-centric processes

  4. Codoid’s ETL Testing Services

    Data analytic testing tool capable of quickly identifying data and other errors in the ETL process

  5. QuerySurge

    Automated testing and data validation for Big Data and data warehouses at speed

  6. TestBench

    Test management solution for the rapid development of digital products through exploratory testing

  7. Bitwise QualiDI

    Central test repository that automates and streamlines the data integration QA process

  8. DataQ

    Intuitive, feature-rich testing platform built to handle a high volume of structured and unstructured data.

  9. SSIS Tester

    Unit and integration testing platform for SSIS packages

  10. Rivery

    Comprehensive solution for orchestrating workflows and building ETL pipelines at scale

Comparison Criteria

Here’s a summary of the evaluation criteria I used to select the best ETL testing automation tools:

  1. User Interface (UI):  ETL testing requires several steps of execution. So, its user interface should simplify the multi-level process such that it can be completed in as few clicks as possible, with clarity and minimal hassle.
  2. Usability: The user experience should promote easy navigation for testing functionality. Other elements should feel intuitive and simple, such that the time taken to implement ETL tests is drastically reduced. 
  3. Integrations: ETL testing is implemented by data engineers working across various domains and use cases. As a result, its results and operations frequently require integration with other tools, so integration should be a strong suit. 
  4. Value for $: A good product should balance cost-effectiveness and quality if its use is to remain sustainable for the majority of its customers. Hence, a product’s pricing regimen factored into my selection.  

ETL Testing Automation: Key Features

  1. Data validation and reconciliation: Effective validation of data transformations with strict adherence to compliance and business rules. 
  2. Automation for workflow integration: Provide an automation testing toolkit to eliminate manual procedures in the ETL testing process, so efficiency and productivity gains are increased. 
  3. Data Validation and comparison engines: Provide the ability to both compare and seamlessly validate high volumes of data spanning multiple databases for accuracy and quality. It should be capable of performing this with files of different types and formats.
  4. Data connectors: A comprehensive ETL Automation Testing tool should be capable of supporting third-party, native integration with APIs, files, and databases. 
  5. Support for ETL testing infrastructure: This includes support for relevant ecosystems and architecture like ETL server/staging areas, data warehouses, and unstructured data.

Overviews Of The 10 Best ETL Testing Automation Tools

1

RightData

Popular, no-code solution that simplifies data testing, stewardship, and governance

RightData is an automated ETL test validation tool that enhances data readiness through data quality assurance. As a self-service cloud solution, its automated validation and reconciliation abilities foster continuous data quality control, along with data integrity and audit capabilities.

In addition to typical features like providing email notifications, it includes exception reporting vital for SOX proof of compliance.

RightData allows you to build data connections across various source systems and query chains. It provides over 150 connectors for applications, flat file data sources, cloud platform technologies, and databases. It makes activities like configuring batch job scheduling and reconciliations a breeze to execute.

RightData is a tool for enterprises that need to connect to multiple data targets and data sources to perform core ETL functions. Especially those who routinely have to reconcile high volume, high complexity data from different models and data types.

RightData provides a free demo. Pricing is available upon request.

2

ETL Validator

Versatile in accommodating various data types, data sources, and huge volumes for Big Data ETL testing

As its name implies, ETL Validator is used for validating ETL during the process of data migration and integration. It has baselining capabilities and allows users to compare and analyze data schemas across different environments.

ETL Validator aims to reduce costs and minimize testing effort and overhead. It includes a Tomcat server and an embedded PostgreSQL repository. Its automated testing encompasses various types of data and data sources, like NoSQL, flat files, relational databases, and Big Data sources.

It possesses an inbuilt ETL engine that performs automation testing. This automation enables the extraction and comparison of millions of records from multiple data sources while simultaneously executing test cases.

For ease of use, it provides a drag-and-drop visual test case builder. It also doesn’t require any custom programming and yet increases business productivity.

ETL Validator is good for those who need to share test results across platforms and data types.

ETL Validator offers a demo and a 30-day free trial. Pricing is available upon request.

3

iCEDQ

Vendor-agnostic, DataOps platform that excels in end-to-end testing of data-centric processes

iCEDQ follows a rule-based approach that facilitates the automating of ETL testing and other processes like production data monitoring, snowflake migration testing, and cloud data migration testing. The platform allows you to use iCEDQ’s inbuilt scheduler to trigger ETL testing business rules, if necessary, with an external scheduler.

It excels in the left-shift approach enhanced by its unique in-memory engine. This allows iCEDQ to efficiently compare and validate the full volume of data in memory. This makes it capable of supporting files and databases of all sizes. In addition, it also supports APIs and software languages such as Java, SQL, and Apache Groovy.

iCEDQ comes with a regression suite and advanced scripting. Its DataOps implementation is enhanced by its integration with DevOps, GIT, scheduling, and CI/CD tools like DataStage and Jenkins. Encryption and advanced role-based access control capabilities are also available.

Pricing is available upon request.

4

Codoid’s ETL Testing Services

Data analytic testing tool capable of quickly identifying data and other errors in the ETL process

Codoid’s ETL Testing Services offers data analytical services with high-end automation testing tools and capabilities. The data validation it offers includes spot checks between target and actual data, providing counts and aggregate values.

It can work with various heterogeneous sources such as spreadsheets, relational databases, and CSVs, to validate their data quality. Its test coverage also encompasses navigation/GUI testing and is compatible with various proprietary and open-source tools.

Codoid’s ETL also performs automated testing services such as metadata testing, including testing for data completeness and corruption. During this process, it verifies data lengths, data types, and indexes.

Codoid’s ETL testing is suited for those who need to mitigate bad data with quality testing, identify syntax issues or expose errors due to incorrect reference types.

Pricing is available upon request.

5

QuerySurge

Automated testing and data validation for Big Data and data warehouses at speed

QuerySurge helps you to dramatically increase your data validation coverage. Its speed also accelerates an organization’s data delivery cycle.

One of QuerySurge’s distinguishing features is its ability to ensure that the data extracted from other sources remains intact in the target data warehouse. To do so, QuerySurge is adept at analyzing and pinpointing any differences, even with deviations in meeting expected formats.

QuerySurge can work and test with Big Data implementations such as NoSQL, Hadoop, and across other platforms like traditional databases, Big Data lakes, JSON files, SOAP, or restful web services.

In addition to providing testing across platforms and test automation, QuerySurge also offers DevOps for continuous testing. This allows developers to dynamically design and integrate data validation tests into their solutions. This allows teams to continuously detect problems that arise in their delivery pipeline.

QuerySurge can be integrated with a vast number of technologies, APIs, CRMs, databases, Data Integration/ETL, and QA/test management solutions. A few examples include IBM Cloud Object Storage, Google Cloud Storage, Azure Data Lake Storage, MySQL, DB2, Cassandra, CockroachDB, Dynamics CRM, SAP, Jira, QuickBooks, and many more.

QuerySurge’s pricing model is different and more convoluted from what is typically offered by companies in the same domain. It provides the option of a subscription model licensing or outright ownership through its Perpetual option.

The Named User license permits a limited number of users, while the Floating User license allows unlimited users.

The Perpetual option for Named User is priced at $11,493, while the Perpetual option for Participant User is $984. In the case of the subscription model, Named Users pay $5,747, while Participant User is charged $492.

In the case of the subscription model, Named Users pay $5,747, while Participant User is charged $492.

6

TestBench

Test management solution for the rapid development of digital products through exploratory testing

TestBench is a multifaceted testing solution built for a wide variety of users such as testers, test managers, product owners, and agile teams. Its content translation capabilities further boost collaboration across global teams so they can manage projects in real-time.

It offers a smart load testing hub for controlling data-driven tests, whether manual or automated. It allows teams to build and execute predefined test cases immediately. This allows the teams to subsequently compare the outcome with previous test results.

TestBench provides users with both data-driven and keyword-driven interaction methods to facilitate exploratory testing. It also includes data-driven extensions to enable them to create test cases in several variations. TestBench also adapts to your toolchain with APIs that integrate with other third-party applications such as Jira.

TestBench is ideal for organizations that develop or intend to build high-quality digital products through efficient and effective testing.

TestBench has a free option that provides basic features for up to five users. Its Professional plan is priced at 29 Euros per user (up to 100 users) per month. Pricing is available upon request for its Professional Plus tier.

Its Professional plan is priced at 29 Euros/user (up to 100 users)/month

7

Bitwise QualiDI

Central test repository that automates and streamlines the data integration QA process

Bitwise QualiDI was designed as a solution to manual and error-prone ETL testing, especially to eliminate reliance on visual comparisons of source to target mappings. It does this by providing a central repository, which in turn, automates the validation process. Moreover, it allows QA teams and developers to evaluate automated ETL testing with their own datasets.

QualiDI provides a built-in tool that generates complex queries for fast transformations known as a business rules engine (BRE). This accelerates testing for non-technical users who are allowed to write business rules instead of queries.

QualiDI eliminates the risk of using sensitive production data in test environments. It does this by seamlessly integrating with Bitwise Test Data Management (TDM) Suite to provide testers with production-like test data that is compliant.

QualiDI is ideal for businesses who want an enterprise-wide, end-to-end platform for operating centralized testing. This is especially useful for companies that need to transform data sets from various operational systems with large data volumes into a data warehouse.

It comes with a 30-day free trial that provides access to basic features that enables QA teams to run test cases.

30 Days Free Trials

8

DataQ

Intuitive, feature-rich testing platform built to handle a high volume of structured and unstructured data.

DataQ enables organizations to reduce their ETL failures, making it easy to apply transformation logic to match the schema of the destination database warehouse. DataQ automates the primary phases in the ETL process, from code development (you can get started with as little as 10 lines of YAML code), transformation testing, data mapping, and so on.

It makes complex data management possible, supporting both on-premise and multi-cloud architecture. DataQ is also capable of auto-detecting key columns across source and destination databases.

DataQ allows you to connect to multiple data sources and file formats, including popular ones like PostgreSQL, Oracle, Apache Hive, Microsoft SQL Server, MongoDB, MySQL, and destination DB warehouses such as Cassandra, Hadoop, and Hive.

To keep costs low for users, DataQ optionally offers AI-based optimization of computing resource utilization.

DataQ provides three plans, namely: Starter, Business, and Enterprise. The Starter is a free plan that’s ideal for a single user. The Business plan is ideal for startups and small organizations and comes with unlimited users. The Business plan includes everything in the Starter plan plus features like anomaly detection, cloud or on-premise hosting, and priority support, among others.

The Enterprise plan is designed for medium to large businesses. In addition to containing everything in the Business plan, it offers customers multiple DataQ endpoints, customer profile metrics, advanced and unlimited quality rules, and much more.

Pricing is provided upon request.

9

SSIS Tester

Unit and integration testing platform for SSIS packages

SSIS Tester is used to test packages, precedence constraints, or single tasks, especially in a test-driven development environment. It is easy to implement with a ready-to-use project template, and a common methodology to follow.

However, SSIS Tester is sophisticated enough to tap paths between data flow components. This allows users to perform unit tests on these different paths. Also, test executions can be monitored in real-time, with its real-time debugger producing test parameters like errors and assertions.

Implementing SSIS Tester’s ETL processes requires creating a number of packages, which need to be subsequently unit tested. In addition to having a user-friendly interface, tests can be created simply using Visual Studio, the popular, user-friendly IDE, and code editor.

The tool is ideal for identifying errors in the development process, especially when creating ETL processes in test-driven environments.

SSIS Tester offers a 21-day free trial. Pricing is available upon request.

21 Days Free Trials

10

Rivery

Comprehensive solution for orchestrating workflows and building ETL pipelines at scale

Rivery manages your data for you so you can focus on your business. It is designed for both developers and those with little technical expertise. It provides no-code execution for complex data challenges, accomplishing tasks with just a few clicks. On the other hand, it has an inbuilt native Python language for flexibility and customization.

Rivery empowers business productivity with its version control repository. It also combines, consolidates, and transforms data right inside a cloud data warehouse. This makes Rivery agile and primed for hyper scalability, with multiple deployment environments.

It is built for integration with a vast number of varied data sources, with over 190 out-of-the-box, pre-built data connectors such as various CRMs, databases, analytic, and marketing tools.

Rivery has three pricing options, along with a pricing calculator to estimate usage-based pricing. Each option is priced at units called Rivery Pricing Unit (RPU) credit.

Its Starter plan is created for small Business Intelligence (BI) and data teams to build pipelines and orchestrate workflows. It is priced at $0.75 per RPU credit.

The Professional plan is designed for advanced data teams who have the requisite engineering capabilities. In addition to everything offered in the Starter plan, the Professional plan offers role-based access control, three distinct environments, and the ability to run Python code. It is priced at $1.20 per RPU credit.

The Enterprise plan is customizable and its pricing is available upon request.

$1.20/RPU credit

The 10 Best ETL Testing Automation Tools Summary

Tool Free Option Price
1
RightData

Popular, no-code solution that simplifies data testing, stewardship, and governance

Not available

Check out RightData
2
ETL Validator

Versatile in accommodating various data types, data sources, and huge volumes for Big Data ETL testing

Not available

Check out ETL Validator
3
iCEDQ

Vendor-agnostic, DataOps platform that excels in end-to-end testing of data-centric processes

Not available

Check out iCEDQ
4
Codoid’s ETL Testing Services

Data analytic testing tool capable of quickly identifying data and other errors in the ETL process

Not available

Visit Website
5
QuerySurge

Automated testing and data validation for Big Data and data warehouses at speed

Not available

In the case of the subscription model, Named Users pay $5,747, while Participant User is charged $492. Check out QuerySurge
6
TestBench

Test management solution for the rapid development of digital products through exploratory testing

Not available

Its Professional plan is priced at 29 Euros/user (up to 100 users)/month Check out TestBench
7
Bitwise QualiDI

Central test repository that automates and streamlines the data integration QA process

30 Days Free Trials

Check out Bitwise QualiDI
8
DataQ

Intuitive, feature-rich testing platform built to handle a high volume of structured and unstructured data.

Not available

Check out DataQ
9
SSIS Tester

Unit and integration testing platform for SSIS packages

21 Days Free Trials

Check out SSIS Tester
10
Rivery

Comprehensive solution for orchestrating workflows and building ETL pipelines at scale

Not available

$1.20/RPU credit Check out Rivery

Need expert help selecting the right Testing Software?

We’ve joined up with the software comparison platform Crozdesk.com to assist you in finding the right software. Crozdesk’s Testing Software advisors can create a personalized shortlist of software solutions with unbiased recommendations to help you identify the solutions that best suit your business’s needs. Through our partnership you get free access to their bespoke software selection advice, removing both time and hassle from the research process.

It only takes a minute to submit your requirements and they will give you a quick call at no cost or commitment. Based on your needs you’ll receive customized software shortlists listing the best-fitting solutions from their team of software advisors (via phone or email). They can even connect you with your selected vendor choices along with community negotiated discounts. To get started, please complete the form below:

Other Options

Here are a few more that didn’t make the top list.

  1. Informatica Powercenter — Offers users a cornucopia of intelligent governance, analytics, and Big Data services.
  2. Talend Open Studio — an open-source integration software for building basic data pipelines.

The Importance of ETL Testing Automation Tools

Data, especially the refined and well-targeted type, is a huge competitive advantage. Therefore, businesses require more of it than ever before. ETL automation tools play a huge part in making sense of our digital age’s exponential data surge. This is because ETL is a vital process for aggregating data into a central repository to facilitate its effective analysis. 

So, what do you think about this list? Kindly give us your feedback in the comments below. And while you’re at it, kindly subscribe to the QA Lead newsletter to get more informative topics. 

List of Related Tools:

By Eze Onukwube

Eze has a master's degree in communications with over 10 years of experience as a software engineer. His playground is at the intersection of technology, process improvement, and simplifying IT concepts.

Leave a Reply