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Top 8 Test Data Management

DelphixDATPROFActifioBroadcom Test Data ManagerBMC Compuware File-AIDIBM InfoSphere Optim Test Data Management (TDM)Informatica Test Data Management (TDM)Informatica Cloud Test Data Management
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    It's really easy to install.Delphix's data distribution is powerful. It's easy to distribute data with this solution. The main advantage of Delphix is that it generates copies of data.
  2. The most valuable feature is that it's easy to use... We were able to quickly port a JD Edwards application into the DATPROF solution and we were able to scramble the data in that application. It's a single tool that helps us to do that across applications.
  3. Buyer's Guide
    Test Data Management
    July 2022
    Find out what your peers are saying about Delphix, DATPROF, Google and others in Test Data Management. Updated: July 2022.
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  4. They will assist me in achieving whatever budget issue the client may be having.This product has unique capabilities that lead the product category in test data management, cloning and recovery.
  5. The data generation is one of the most valuable features because we are able to write a lot of rules. We have some specific rules here in Turkey, for example, Turkish ID IBAN codes for banks.
  6. The solution is very usable and this can be done across multiple platforms. I like the ability that it has to format copy books in a presentable manner. So, you will be able to see the starting offset in length of each field within the layout.
  7. I like the features compared to other tools. This tool is more flexible to use than other tools like an Oracle product or SAP product. I think IBM tools are more flexible, and this tool is also a good product.
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  9. Informatica Test Data Management is a complete solution. I'm not very deep in the technical aspect of the solution, but most of the workflows are now completely automated. There are some minor elements where we have to still add manual parts to the implementation.
  10. One of the most valuable features is that I don't need to buy a subscription for any functionality. With Informatica Cloud Data Management, I have all the functionality and features available. If I need to make an integration, I can go to that integration service. If I need to mask, provide, or clean some information, I can easily just pick up that feature and use it. It's very simple, and I have all the functions and capabilities I need to work with data.

Test Data Management Topics

Why is TDM needed?

TDM is necessary for organizations because it allows them to perform business-critical processing of sensitive data. With test data management, organizations can protect highly sensitive data and customer information that could otherwise cause extreme damage if exposed, especially for industries where breaches are more common, such as healthcare. In addition, test data management allows companies to create higher quality software that can perform reliably on deployment and ensures the prevention of rollbacks and bug fixes. Beyond that, TDM minimizes an organization’s security and compliance risks.

What is test data management strategy?

With respect to data, organizations need to have test data management strategies in place to minimize the degree of some of the most common challenges that can occur. Below are a few test data management strategies:

  • Data analysis: To ensure effective management, it is important to conduct a thorough analysis of all data used for testing.
  • Setting up data to mirror production environments: As an extension to data analysis, a solid test data management strategy should involve an in-depth understanding of end-user or production scenarios and what data is required for them. With this information, data can be compared or modified as needed.
  • Test data clean-up: Data may be relied upon at different points of a release cycle. Having a clear process that also involves a clean-up strategy to avoid test data clutter should be formulated to help you stay organized.
  • Identifying sensitive data and protecting it: Large amounts of sensitive data need to be secured. When user environments are replicated, that data should be identified and shielded.
  • Automation: Automating the creation of test data helps to expose errors and makes comparing test data sets easier.
  • Maintaining a central repository: A lot of effort goes into creating test data. Having a central repository can make a huge difference in how data is managed. It also allows you to reference data at later times, view frequently used data, or eliminate obsolete data to make sure correct or relevant data is always present, thereby reducing the costs associated with storing unnecessary data.
What is a test data management life cycle?

Test data management life cycle refers to the different stages data goes through before reaching its end or before starting a recurring life cycle. During its lifecycle, test data goes through the following phases:

  • Requirement gathering and analysis: As the name indicates, this step of the test data management life cycle includes collecting the requirements needed to conduct the testing which later undergoes analysis.
  • Planning and design: A solution to address test data pain points is designed based on the requirement analysis mentioned in the previous step.
  • Test data creation: Depending on the project test data requirements, the appropriate test data is created using various techniques.
  • Test data validation: This phase of the life cycle involves validating the test data created in the test data creation phase.
  • Test data maintenance: The final life cycle stage includes anything that is required to maintain the data, such as making changes or updates when needed.
What are the challenges of test data management?

When trying to provision and manage test data, pitfalls and challenges are common. Below are some challenges you may experience:

  • Corruption of test data: It is easy for test data corruption to happen, since oftentimes different test teams in the same environment use the same test data.
  • Production cloning: When full production cloning is used rather than leveraging data subsetting, it can increase costs.
  • Slow test environment provisioning: It is not uncommon for it to take several days or weeks to provision updated data for a test environment. It requires a lot of effort and time to create copies of test data and can involve many people in the process. This not only puts a strain on IT teams but also slows application delivery times.
  • Risk of poor/incorrect outcomes: If outdated test data that is no longer valid is used in TDM, results will likely be skewed or false.
  • Data leakage: It is important to adhere to safety and compliance rules and to ensure that sensitive data is not compromised. To make sure actual data doesn’t leak, teams must make sure to obfuscate it, which can be expensive.
  • Storage issues: It is not unlikely for an organization to incur high infrastructure costs as a result of provisioning test data, especially as it relates to storage.
What is a TDM tool?

A test data management tool is a tool primarily used to organize and integrate data in all phases of production. The main goal of a TDM tool is to provide high-quality data for systems and application developers to use during testing.

Features of TDM Tools

When researching which TDM tool will be best for your specific organization, it is worth considering the following features:

  • Data sub-setting
  • Data masking
  • Data connectivity
  • Test data-generation capabilities
  • Monitoring and compliance reporting
  • Test data discovery
  • Test data reusability
  • Automated data comparisons
Benefits of TDM Tools

Some of the key benefits gained from leveraging TDM systems are:

  • Increased quality: With a TDM tool, error margins are reduced and data corruption is less likely. Moreover, TDM tools increase data safety, ensure complete traceability, and make the replication of results easier.
  • Reduces testing time: Test data management automates processes, thus leading to less rework and a faster time-to-market. TDM tools also help accelerate scenario identification and speed up the creation of corresponding data sets.
  • Compact test design: Having condensed test designs helps provide huge cost savings. TDM tools also help reduce overall infrastructure costs by minimizing test data storage space.

Other notable benefits include reduced data refresh cycle, traceability of test data to test cases to business requirements, gaining a more cost-efficient software deployment process, and obtaining customized test data for different kinds of testing such as functional, integration, performance, security, etc.

Buyer's Guide
Test Data Management
July 2022
Find out what your peers are saying about Delphix, DATPROF, Google and others in Test Data Management. Updated: July 2022.
621,593 professionals have used our research since 2012.