Best Test Data Management Tools for Linux

Parasoft helps organizations continuously deliver high-quality software with its AI-powered software testing platform and automated test solutions. Supporting embedded and enterprise markets, Parasoft’s proven technologies reduce the time, effort, and cost of delivering secure, reliable, and compliant software by integrating everything from deep code analysis and unit testing to UI and API testing, plus service virtualization and complete code coverage, into the delivery pipeline. A powerful unified C and C++ test automation solution for static analysis, unit testing and structural code coverage, Parasoft C/C++test helps satisfy compliance with industry functional safety and security requirements for embedded software systems.

IRI FieldShield® is powerful and affordable data discovery and masking software for PII in structured and semi-structured sources, big and small. Use FieldShield utilities in Eclipse to profile, search and mask data at rest (static data masking), and the FieldShield SDK to mask (or unmask) data in motion (dynamic data masking). Classify PII centrally, find it globally, and mask it consistently. Preserve realism and referential integrity via encryption, pseudonymization, redaction, and other rules for production and test environments. Delete, deliver, or anonymize data subject to DPA, FERPA, GDPR, GLBA, HIPAA, PCI, POPI, SOX, etc. Verify compliance via human- and machine-readable search reports, job audit logs, and re-identification risk scores. Optionally mask data as you map it. Apply FieldShield functions in IRI Voracity ETL, federation, migration, replication, subsetting, or analytic jobs. Or, run FieldShield from Actifio, Commvault or Windocks to mask DB clones.

Stop relying on confidential production data. Masked data may not be realistic or robust enough either. IRI RowGen uses your metadata and business rules to make better test data. Persistent or virtual test sets improve DB/ETL prototypes and speed DevOps. Use the high quality, high volume database, file, report or DataVault targets you create and populate with RowGen's graphical job wizards in in the IRI Workbench IDE (built on Eclipse) to stress-test and future-proof new software and systems. RowGen lets you customize data formats, volumes, ranges, distributions, and other properties on the fly or with re-usable rules that support major goals like application testing and subsetting. RowGen uses the IRI CoSort engine to deliver the fastest generation, transformation, and bulk-load movement of big test data on the market. You can also leverage RowGen functionality in CI/CD pipelines like GitLab, cloned DBs via Windocks et al, and purpose-built TDM hubs from Cigniti or ValueLabs.

The IRI Data Manager suite bundles the tools you need for faster data manipulation and movement: 1) CoSort makes light work of big data processing "heavy lifts" in DW ETL, BI/analytics, DB loads, sort/merge offload, etc. 2) FACT dumps very large database (VLDB) tables in parallel to flat files for ETL, DB migration, reorg, and archive. 3) NextForm performs and speeds file and table conversion, remapping, DB replication, data re-formatting, and federation. 4) RowGen subsets DBs or synthesizes structurally and referentially correct test data in tables, files, and reports. These IRI products address data integration and staging (ETL/ELT), big data packaging and provisioning, BI reporting and data wrangling (preparation) and DevOps. Use them alone or in the IRI Voracity platform to: improve data quality; speed sorting and data transformation; migrate and replicate data; replace legacy sorts; and, synthesize (plus virtualize) smart RDB and file test data.

Delphix is the industry leader in DataOps and provides an intelligent data platform that accelerates digital transformation for leading companies around the world. The Delphix DataOps Platform supports a broad spectrum of systems, from mainframes to Oracle databases, ERP applications, and Kubernetes containers. Delphix supports a comprehensive range of data operations to enable modern CI/CD workflows and automates data compliance for privacy regulations, including GDPR, CCPA, and the New York Privacy Act. In addition, Delphix helps companies sync data from private to public clouds, accelerating cloud migrations, customer experience transformation, and the adoption of disruptive AI technologies. Automate data for fast, quality software releases, cloud adoption, and legacy modernization. Source data from mainframe to cloud-native apps across SaaS, private, and public clouds.

HCL OneTest provides software testing tools to support a DevOps approach: API testing, functional testing, UI testing, performance testing and service virtualization. It helps you automate and run tests earlier and more frequently to discover errors sooner — when they are less costly to fix. HCL also provides a bundled offering under a new consumption model that changes the way you can use and deploy DevOps software. The new offering helps simplify your planning for adoption and growth of critical DevOps products. HCL OneTest UI enables testers to take automation all the way from mainframe terminals with 3270 interfaces, through .NET- and Java-based thick client applications. Additionally, it works with the latest top browsers, ERP systems such as SAP and Oracle, right up to HTML5-based responsive web applications that are built on modern frameworks like Angular, React and Vue.js.

Enterprise synthetic test data solutions. In order to generate test data that accurately reflects the structure of your application or database, it must be easy to model and maintain each test data project as changes to the data model occur throughout the lifecycle of the application. Maintain referential integrity of parent/child/sibling relationships across the data domains within an application database or across multiple databases used by multiple applications. Ensure the consistency and integrity of synthetic data attributes across applications, data sources and targets. For example, a customer name must always match the same customer ID across multiple transactions simulated by real-time synthetic data generation. Customers want to quickly and accurately create their data model as a test data project. GenRocket offers 10 methods for data model setup. XTS, DDL, Scratchpad, Presets, XSD, CSV, YAML, JSON, Spark Schema, Salesforce.