Best Test Data Management Tools in 2023

Are you looking for Test Data Management Tools?
Here we will list out the best tools which give you high-quality data for your testing needs.
Through this article, you can get information on what is test data management, top TDM tools, and the following.
Top Test Data Management Tools
#1. K2View Test Data Management
Best for enterprises with numerous data sources and/or legacy systems

With K2View Test Data Management, test data subsets from production sources can be provisioned quickly with referential integrity, regardless of the number of systems, technologies, and environments. Shift-Left Testing can be enabled by embedding the solution in a DevOps CI/CD pipeline.
Testers define their desired test data sets using the solution’s self-service portal. A tester may request test data related to 250 customers in a certain zip code with at least two children and an outstanding debt greater than a specific amount.
Sensitive PII data is protected before it is delivered using in-flight data masking. Several additional features are also available, such as the ability to manufacture synthetic test data with referential integrity, roll back the version of test data, reserve subsets of test data for specific testers, and more.
A web-based interface allows testers and administrators to schedule tests, track execution results, and view execution status.For a free demo or proof of concept, contact the K2View team via the website.
Features:
- A self-service portal that allows testers to provision test data on demand
- Extraction of production data subsets based on user-defined search criteria
- Versioning and searching of data sets in a test data warehouse
- Generating synthetic test data, ensuring referential integrity
- Masking and validation of data in compliance with privacy laws
- Automation of DevOps using a web service API
Why K2View is the best test data management tool
K2View TDM is not constrained by the number of data sources and technologies used. Due to its patented architectural design, the tool handles large-scale, complex enterprise environments with high performance. Numerous data masking functions are available out of the box, with referential integrity preserved by design.
#2. Datprof
Best for mid to large size organizations handling large amounts of (sensitive) non-production data

The DATPROF Test Data Management Platform consists of several modules that allow its customers to realize test data management solutions. The heart of the suite is formed by DATPROF Runtime. This is the test data provisioning platform where execution of DATPROF projects take place. In a typical test data management implementation, the most frequent used tools are:
– DATPROF Analyze: for the purpose of analyzing and profiling a data source.
– DATPROF Privacy: for the purpose of modeling masking templates.
– DATPROF Subset: for the purpose of modeling subset templates.
– DATPROF Runtime: for the purpose of running generated code, templates, and the distribution of datasets.
Features:
- Mask sensitive data and generate synthetic data for compliance.
- Subset large non-production environments to speed up QA processes.
- Manage and monitor the execution of all test data projects from one TDM portal.
- Schedule and automate the deployment of projects using the Runtime API.
- Automate and integrate test data provisioning with your CI and/or CD tools.
Why DATPROF is the best test data management tool
DATPROF sees and understands the struggles and challenges of QA teams regarding test data. These data issues manifest themselves in different ways. Some have trouble finding or understanding the test data, others struggle with getting in control of their test data. The last big challenge is getting compliant without losing the representativeness of data in the development stage.
DATPROF envisions solving these test data issues, making sure your life is once again centered upon delivering or validating software code and quality. Their mission is to simplify getting the right test data in the right place at the right time.
#3. Informatica TDM Tool

Informatica Test Data management tool allows test teams to generate test data sets for their testing needs. Its key features include improving testing productivity, sensitive data discovery, and classification, a data warehouse with self-service, data subset, data masking, pre-built application accelerators, and monitoring and compliance reporting.
#4. IBM InfoSphere Optim

IBM InfoSphere Optim tool helps to optimize and to automate processes that create and manage nonproduction data. It allows testers to create production-like test environments. IBM test data management tool supports continuous testing and agile requirements for development. Developers and testers can access and refresh data on demand to improve operational efficiency while providing more time for actual testing. Its key features include managing data at the business-object level, accessing data analysis capabilities, enforcing test data management software policies, and automating data comparisons and analyzes results.
#5. Microfocus Data Express

Micro Focus Data Express is to manage the test data environment. It improves test results, reduces testing costs, secures customer data from loss or misuse, and enables accelerated delivery and privacy compliance. It helps organizations optimize and automate processes that create and manage production-like test environment data. Its features include reducing the time required for extracting large amounts of distributed data needed for testing, accelerating application testing, reducing storage requirements, reducing costs through shared data extraction rules, and supporting data privacy and security.
#6. Delphix

Delphix Test data tool automates the steps for provisioning test data, such as target database initialization, configuration, and validation. Its key features include the end-to-end masking process by automating the discovery and auditing of sensitive data, and protect sensitive data without compromising speed and agility.
#7. Test Data Manager (formerly CA Test Data Manager)

Test Data Manager helps organizations automate test data management, deliver test data faster, create synthetic test data from scratch, shorten test cycles from weeks to days, and improve compliance
#8. SAP Test Data Migration Server:

SAP Test Data Migration Server is a data extraction tool that transfers relevant business data from your SAP production system to your development, test, quality assurance, or training system. SAP test data management tools allow you to create easy to maintain a production-like environment. It helps you to reduce data volume, scramble/eliminate sensitive data, automate & reduce the runtime of data refreshes, and allow functional teams to transfer subsets of data.
FAQs TDM Tools
What is Test Data Management in Software Testing?
Test Data Management is the process of creating non-production data that reliably mimic actual data for fulfilling the needs of automated test processes with no or little human intervention. Based on the non-production reliable data, testers, and developers can perform system tests rigorously.
What are Test Data Management Tools?
Test data management tools help organizations increase the quality of their software. These tools generate synthetic data, perform data profiling, extract and scramble data, and refresh data. Developers and testers will be more efficient in project development and testing by using these tools.
Conclusion
These tools help you to leverage a test data management strategy to subset production data while masking sensitive information.
If you’ve found this information helpful, please explore the rest of our page for more software testing materials, insight, and advice!
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