If you want to have great tests, you need great test data. That’s why it’s so important to know about the test data management tools at your disposal and how they can help you. That’s what this post is all about.
We’ll start with the basics by defining test data management. Then, we’ll explain why test data management is important and why you need it. Finally, we’ll walk you through our list of five test data management tools. For each tool, you’ll read its description along with its main pros and cons. Let’s get to it.
Test Data Management Tools 101
This post features a spin on the popular what-why-how structure. Call it a “what-why-list,” if you will. We start with the “what,” defining test data management. Then, we follow that with the “why,” covering the reasons why you should care about test data management. After that, we walk you through our list of test data management tools.
What Is Test Data Management?
If you have tests, you need test data. When testing in production—something you should be doing, if you’re not—you already have access to the best possible type of test data: Real data. However, testing in production doesn’t preclude testing before production, and that’s where test data management comes in handy.
Test Data Management (TDM) is the process of providing automated tests the data they need. The TDM process has to ensure the availability of test data, making sure test cases have access to the data in the right amounts, formats, and timing.
Why Is Test Data Management Important?
Data has to meet several criteria if it is to be used effectively as test data. The TDM process is responsible for providing the test cases with data that meet those requirements. So, what are those qualities?
Properties of Good Test Data
Test data has to be of high quality, available, timely, realistic, and compliant.
Let’s start with quality. If you feed your test cases with poor quality data, don’t act surprised when you get less than stellar results. Keep in mind that “quality” in this context means that the data has to meet the expectations of the tests. For instance, while the test cases need valid data, sometimes you need invalid data. A classic example is when performing tests to see how the system reacts to invalid or unwanted input—i.e., negative testing.
Test data also needs to be available. It’s no use having great test data if the tests can’t access it, for whatever reason—e.g., authentication issues.
Also, test data needs to be timely. That is to say; it has to be accessible to the tests as soon as they require it, without delays.
Test data also needs to be realistic. What I mean by that is the data sets need to mimic as closely as possible what real production data looks like. Realist test data will contain data that faithfully resemble real data regarding quantity, formats, and more.
Finally, test data has to be compliant. Since some techniques to obtain test data—such as production cloning—rely on production data, organizations need to be really cautious not to disobey relevant privacy regulations, such as GDRP and others. This adds yet another layer of complexity to the responsibilities of the TDM process.
Automating With TDM
As you’ve just seen, test data needs to meet many requirements to be used effectively and safely in a test strategy. On a small enough scale, you might be able to get away with doing all of this manually. However, as your organization’s testing needs start to grow, it quickly becomes overwhelming to manage the required data without help.
That’s where test data management can make a difference. With the right tools, you can ensure the test cases in your organization get access to the data they need, enabling your testing strategy to go smoothly.
Test Data Management Tools: The 5 That Should Be on Your Radar
Now that you know more about test data management in general, it’s time to cover our list of test data management tools.
As we said earlier, each tool will have a brief description, followed by some of its pros and cons. The tools are listed in alphabetical order.
CA Test Data Manager
CA Test Data Manager is a product by Broadcom. It’s a tool meant to provide data for testing purposes in a fast and efficient way. Besides synthetic data creation capabilities, CA Test Data Manager can also improve the quality of production data, filling existing gaps in the data to better serve the needs of the test cases.
The pros of this tool include its compliance and data masking features, the already mentioned synthetic data capabilities, and the ability to create virtual copies of test data, reducing the duration of tests and the volume of test data needed.
When it comes to the cons, the powerful but non-intuitive interface is a common complaint.
Rather than being a single product, DATPROF is a suite of products catering to a different need in the overall TDM process. Among its main pros, we can mention:
- its centralized dashboard where users can manage test data in many environments from a single place
- the security and compliance capabilities
- a self-service portal where people who perform testing can request the test data they need
- support for a large number of database providers and many available integrations
- free trial available
What about the cons? DATPROF’s approach of splitting its features between several offerings while giving the consumer flexibility can become somewhat overwhelming, especially for newcomers.
Delphix provides a test data management platform that helps teams populate test environments with realistic and compliant test data. Among its advantages, we can cite its powerful masking capabilities, virtual test data provisioning, and version control for data sets. Delphix also integrates with several tools and data sources. Its interfaces are considered user-friendly and easy to use.
When it comes to the cons, complaints about the pricing are somewhat common since Delphix licenses their platform annually, depending on usage. Additionally, the data creation capabilities aren’t considered as strong as other features.
Informatica’s TDM offering has a focus on data quality and privacy. With strong masking and synthetic data generation capabilities, this tool provides organizations with automatic provisioning of test data to efficiently meet their testing needs. Informatica’s pros include its automatic provisioning capabilities, monitoring and reporting features, and comprehensive masking techniques. The tool also offers free trials, which makes it easier for organizations to evaluate.
Informatica’s price range has been cited as a con, besides the need for a friendlier interface.
Testim’s offering is an AI-powered tool to help teams author stable end-to-end testing. Even though it’s not a TDM tool in the traditional sense, Testim has capabilities that make it a viable option for data-driven testing.
Testim lets you define data sets in various ways: Through its visual editor, through a configuration file, and even from external sources, such as the database or files (CSV, Excel, and so on).
Test Data Management Tools: Know Them so You Can Leverage Them
Despite recognizing the benefits of test automation, many organizations still struggle to do it right. And, to be fair, it’s not entirely their fault. With each passing year, new terms and buzzwords related to testing appear. Similarly, new types of testing keep being invented. As a newcomer to this field, it’s hard not to feel overwhelmed.
This post was yet another contribution of ours to your automated testing learning journey. We talked about test data management and the main test data management tools you need to be aware of. We’ve also explained the concept of Test Data Management and why it’s important to have an effective software testing strategy.