The 6 Top Test Data Management Tools for 2023

Amitai Richman

Amitai Richman

Product Marketing Director

With the right test data management tool, you can provision the test data you need, when you need it. Discover the top TDM tools for 2023 right here.

Table of Contents

What is Test Data Management?
What is the Business Impact of Test Data Management?
Top 6 Criteria to Look For in a Test Data Management Tool
Top 6 Test Data Management Tools for 2023
Select Your Test Data Management Tool Wisely

What is Test Data Management?

Test data management refers to the systems and processes that Quality Assurance (QA) and application teams use to provision test data.

Test data is data which has been specifically identified for use in tests, typically of a computer application. While some test datasets may be used to confirm expected outcomes, others may be used to check the app’s response to unexpected inputs.

Test data management tools are software platforms that create, manage, secure, and deliver this data automatically.

For DevOps leaders and testing teams, on-demand access to high-quality test data is critical. It’s the key to shift-left testing, and agile software delivery, which enable organizations to churn out more apps and features faster, and with fewer defects. In today’s high-speed digital era, maintaining a competitive pace for software development is a must.

Despite this, many companies continue to underinvest in test data management. As a result, they undermine their own efforts to compete and innovate.

With the right test data management tool, companies can consistently and reliably provision high-quality test data to support fast-pace, agile development. Keep reading for a list of the top test data management tools for 2023.

What is the Business Impact of Test Data Management?

There are two primary business considerations for investing in top test data management tool.:

  1. Rapid provisioning of data unleashes new levels of speed
    The shift to agile development and DevOps, with an emphasis on continuous integration and continuous development (CI/CD) pipelines enables businesses to accelerate software delivery. However, “shift-left testing” – a cornerstone of agile development – is impossible unless test data provisioning can match this pace. With the right test data management solution, DevOps and testing teams can get their hands on reliable, high-quality test data whenever they need it.

  2. Compliance with data privacy and protection regulations is a top priority
    Today, The consequences of non-compliance include steep fines (to the tune of millions of dollars), class-action law suits, and brand damage. In the worst-case scenario, an actual data breach can wreak financial havoc, and completely erode customer trust. DevOps teams that manually provision test data – without an adequate means of anonymizing sensitive information – expose their companies to these risks. Data masking, tokenization, and other means of data obfuscation, are standard features of test data management tools.

Top 6 Criteria to Look For in a Test Data Management Tool

When evaluating test data management tools, make sure you choose the solution that supports:

  1. Automation and self-service functionality
    Your test data management tool should allow DevOps and QA teams to eliminate manual processes when setting up new data testing environments, such as initializing target databases, configuration, and validation checks. With sufficient levels of automation in place, authorized testers can provision test data themselves, without having to rely on backlogged IT/DevOps.

  2. Data integration
    With production data fragmented and dispersed across multiple enterprise systems, extracting complete and harmonized data for testing is a major challenge. Make sure your test data management tool can integrate with all relevant source and production systems, so it can extract complete test datasets.

  3. On-demand data roll-back
    Your test data management tool should enable on-demand roll-back to previous datasets, without impacting the data currently involved with other tests.

  4. Data masking
    Dynamic data masking is a non-negotiable requirement for any test data management tool. The solution you choose should be able to mask sensitive data on-the-fly, while maintaining data integrity, and adhering to organizational security policies.

  5. Synthetic data creation
    Testing teams can’t always extract a sufficient volume of test data from production datasets. A test data management tool that is capable of synthesizing supplemental data based on real production data is invaluable to DevOps.

  6. High-speed provisioning
    Your test data management tool should provide a fast and frictionless path, from multiple source systems, to multiple testing environments. Individual testers should be able to upload, adjust, and delete test sets manually, or automatically using CI/CD integration.

Top 6 Test Data Management Tools for 2023

  1. K2View Test Data Management
    K2View provides a comprehensive test data management solution to hasten test data delivery, even in complex environments. K2View takes a data product approach, which involves extracting all of the data associated with a particular business entity (such as customers, transactions, credit cards, etc.) from all underlying source systems. Its Data Product Platform stores and manages the data for each data product instance (like a single customer) in its own encrypted Micro-Database™.

    Test data is maintained in a “test data warehouse”, accessible to DevOps via an API, and to testers via an easy-to-use web portal. The K2View solution generates realistic, and synthetic, test data – obfuscated with data making tools on the fly – while preserving relational integrity. Its self-service approach allows development, QA, and DevOps teams to provision test data themselves, on a single, automated platform, regardless of the number of systems, testing environments, or technologies.

  2. Broadcom Test Data Manager
    Broadcom's Test Data Manager allows DevOps and testing teams to locate, secure, and provision “fit for purpose” test data. Its profiling feature quickly locates Personally Identifiable Information (PII) across multiple data sources, with the help of a heat map  that not only identifies where PII resides, but also classifes it by severity level. Broadcom enables synthetic data generation, and allows for virtual copies of test data, on demand, to speed up testing. However, according to user reviews, Broadcom’s interface is complex, and does not easily support a self-service approach.

  3. IBM InfoSphere® Optim™ Test Data Management
    IBM’s test data management tool provides a single, scalable solution to create production-like test environments that reflect business processes. It streamlines testing processes, supports agile DevOps, and protects sensitive data with masking while preserving its contextual meaning. With an emphasis on data governance, it provides a standard method of governing the test data management process and ensures policies and standards are met throughout the lifecycle. The most significant user complaint is lack of integration with key data sources.

  4. Informatica Test Data Management
    Informatica's Test Data Management tool was designed with an emphasis on a Salesforce use case. It allows DevOps and QA teams to discover, create, subset, and visualize test data during Salesforce development while protecting sensitive data from unauthorized use. It enables automated data discovery, a self-service data warehouse, data masking, and compliance monitoring and reporting. The biggest drawback for users is the complex and costly implementation period.

  5. Delphix Test Data Management
    The Delphix test data management tool delivers compliant test data on demand. It includes API controls to automatically mask, provision, and version virtual test data for DevOps and QA teams. The Delphix solution works across all clouds and apps, synchronizing with data sources to capture a complete record of data changes. Its main drawback is its reliance on data virtualization. Despite the hype, data virtualization, in the context of test data management, has its disadvantages. It takes QA teams more time to find and prepare test data. It becomes a single point of failure, when servers are down. And it doesn’t support batch processing very well.

  6. Datprof Test Data Management Solution
    Dataprof’s test data management tool has 4 core features: data discovery, test data automation, data subsetting, and data masking. It allows DevOps and QA teams to manage and refresh test data across testing environments from one central location. It also provides a self-service portal, so developers and testers can create and request test data, without relying on IT. According to user reviews, one downside is that implementing templates for provisioning test data requires “starting from scratch” each time.

Select Your Test Data Management Tool Wisely

The right test data management tool can empower your company to significantly reduce costs, minimize project delays, and improve software quality. But not all test data management solutions offer the same features, or provide you with adequate security and compliance measures.

By using the criteria above as your checklist, and considering your organization’s most important needs, you can build a truly agile software development life cycle that is competitive, innovative, and reliable.

Only 1 test data management tool answers all 6 critical requirements.