Best Test Data Management Tools in Japan

"Parasoft delivers an AI‑powered software testing platform that helps organizations continuously release high‑quality software. Our solutions support embedded and enterprise teams by integrating code analysis, testing, virtualization, and coverage into the delivery pipeline to improve security, reliability, and compliance while reducing cost and effort. Parasoft C/C++test provides static analysis, unit testing, code coverage, and requirements traceability for C and C++ applications. It integrates with Eclipse and Visual Studio, supports CI/CD automation, and is TÜV‑certified for safety‑ and security‑critical systems. Parasoft C/C++test CT is a scalable, compliance‑ready solution for C and C++ teams. It integrates into CI/CD workflows, supports open‑source unit testing frameworks, containers, VS Code, Bazel build systems, eliminates IDE dependencies, and is TÜV‑certified for safety‑ and security‑critical development."

At K2View, we believe that every enterprise should be able to leverage its data to become as disruptive and agile as the best companies in its industry. We make this possible through our patented Data Product Platform, which creates and manages a complete and compliant dataset for every business entity – on demand, and in real time. The dataset is always in sync with its underlying sources, adapts to changes in the source structures, and is instantly accessible to any authorized data consumer. Data Product Platform fuels many operational use cases, including customer 360, data masking and tokenization, test data management, data migration, legacy application modernization, data pipelining and more – to deliver business outcomes in less than half the time, and at half the cost, of any other alternative. The platform inherently supports modern data architectures – data mesh, data fabric, and data hub – and deploys in cloud, on-premise, or hybrid environments.

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.

CloudTDMS solution is a No-Code platform having all necessary functionalities required for Realistic Data Generation. CloudTDMS, your one stop for Test Data Management. Discover & Profile your Data, Define & Generate Test Data for all your team members : Architects, Developers, Testers, DevOPs, BAs, Data engineers, and more ... CloudTDMS automates the process of creating test data for non-production purposes such as development, testing, training, upgrading or profiling. While at the same time ensuring compliance to regulatory and organisational policies & standards. CloudTDMS involves manufacturing and provisioning data for multiple testing environments by Synthetic Test Data Generation as well as Data Discovery & Profiling. Benefit from CloudTDMS No-Code platform to define your data models and generate your synthetic data quickly in order to get faster return on your “Test Data Management” investments. CloudTDMS solves the following challenges : -Regulatory Compliance

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.

It can instantly provide generators based on table and column names, field length, data types, and other existing constraints. They can be customized to meet your requirements. Create large volumes of data within a couple of clicks in SQL Server Management Studio. Column-intelligent data generation – generate data in one column based on the data in another. Greater flexibility and manual control for creating foreign key data. Shareable custom generators – save regexp and SQL statement generators to share with your team. Write your own custom generators in Python, so you can create any extra data you need. Seeded random data generation allows you to generate the same collection of data every time. Foreign key support for generating consistent data across multiple tables.

Database design · database implementation · stored routine debuggers · test data generators · database auditing · data change logging · performance monitoring · data transfers · import and export of data · DBA tasks · reporting · performance testing · database release management. A fully featured test data generator tool: generates real-life-like data into your database or data files. The only comprehensive and up-to-date Firebird server monitoring tool available at the market. Database Workbench offers a single development environment for developing with multiple database engines. With database engine specific functionality, powerful tools and a consistent, clear and intuitive user interface, Database Workbench will increase your productivity from the moment you start using it.

It's hard to put together a meaningful UI prototype without making real requests to an API. By making real requests, you'll uncover problems with application flow, timing, and API design early, improving the quality of both the user experience and API. With Mockaroo, you can design your own mock APIs, You control the URLs, responses, and error conditions. Parallelize UI and API development and start delivering better applications faster today! There are plenty of great data mocking libraries available for almost every language and platform. But not everyone is a programmer or has time to learn a new framework. Mockaroo allows you to quickly and easily to download large amounts of randomly generated test data based on your own specs which you can then load directly into your test environment using SQL or CSV formats.

Datanamic Data Generator is a powerful data generator that allows developers to easily populate databases with thousands of rows of meaningful and syntactically correct test data for database testing purposes. An empty database is not useful for making sure your application will work as designed. You need test data. Writing your own test data generators or scripts is time consuming. Datanamic Data Generator will help you. The tool can be used by DBAs, developers, or testers, who need sample data to test a database-driven application. Datanamic Data Generator makes database test data generation easy and painless. It reads your database and displays tables and columns with their data generation settings. Only a few simple entries are necessary to generate comprehensive (realistic) test data. The tool can be used to generate test data from scratch or from existing data.

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.

DATPROF Test Data Platform is a complete test data management solution that helps software teams create, protect, provision, and automate high-quality test data. The platform combines data masking, synthetic test data generation, data subsetting, test data provisioning, and automation in one integrated solution. DATPROF enables organizations to safely use realistic, production-like data for development, testing, QA, and CI/CD pipelines without exposing sensitive or privacy-related information. It helps companies comply with regulations such as GDPR, PCI, and HIPAA while improving software delivery speed and reducing manual test data work. DATPROF is a software company specialized in test data management. Its mission is to help organizations make test data available faster, safer, and more efficiently, especially in complex enterprise and regulated environments.

The users of data management software are primarily from enterprise business teams. This requires the data management software to be highly user-friendly, automated and intelligent. Additionally, data management activities must adhere to various industry-specific and data protection related regulatory requirements. Further, data must be adequate, accurate, consistent, of high quality and securely accessible so that business teams can make informed and data-driven strategic business decisons. Enables an integrated approach for data privacy, data quality management, test data management, data analytics and data modeling. Efficiently addresses growing volumes of data efficiently, through service engine-based architecture. Handles niche data processing requirements, beyond out of box functionality, through a user-defined function framework and python adapter. Provides a lean layer of governance surrounding data privacy and data quality management.

We help you discover, create, and subset test data; visualize test data coverage; and protect data so you can focus on development. Automate provisioning of masked, subsetted, and synthetically generated data to meet development and testing needs. Identify sensitive data locations quickly with consistent masking in and across databases. Store, augment, share, and reuse test datasets to improve testers’ efficiency. Provision smaller data sets to minimize infrastructure requirements and speed performance. Use our comprehensive set of masking techniques to consistently protect data across applications. Support packaged applications to ensure solution integrity and speed deployments. Engage risk, compliance, and audit teams to align with data governance initiatives. Improve test efficiency with reliable, trusted production data sets; reduce server and storage footprints with data set sizes targeted for each team.

Our software has been designed to efficiently manage the challenge of megabyte to terabytes of Test Data and Product Quality in any format coming from R&D, Supply Chain, Repair and Manufacturing Environments. Our talented and committed team has over 100+ man years of experience and have been working with Fortune 1000 companies in the Aerospace & Defense, Consumer Electronics, Industrial and Medical Device industries since 2006.

By managing data properly over its lifetime, organizations are better equipped to support business goals with less risk. Archive data from decommissioned applications and historical transaction records, while providing ongoing access to the data for query and reporting that is compliant with retention regulations. Scale data across applications, databases, operating systems and hardware platforms to help secure your test environments, accelerate release cycles and reduce costs. Lack of data archiving can impair the performance of mission-critical enterprise systems. Solve data growth problems at the source, improve efficiency and minimize the risks associated with managing structured data throughout its lifetime. Protect unstructured data in testing, development and analytics environments across the enterprise. Lack of data archiving can impair the performance of mission-critical enterprise systems. Solve data growth problems at the source, improve efficiency and minimize the risks.

The Solix Enterprise Data Management Suite (Solix EDMS) brings together all the tools for an effective Information Lifecycle Management (ILM) program. From a single web-based console, the platform offers industry-leading database archiving, test data management, data masking, and application retirement solutions. Solix EDMS is designed to control costs, boost application performance and availability, and meet compliance objectives. It offers universal access to all archived data for business users through full-text search, structured SQL queries, forms & reports. Solix EDMS helps you quickly identify infrequently accessed historic data from your production applications, and ‘move’ it to a secure archive with data integrity and access preserved. Retention management holds the archived data for a given period of time, and purges the data automatically, or manually when the data retention policy meets its criteria.

Techarcis is a chosen partner that companies trust and rely upon to quality assurance software testing and software solutions. We are experts in quality engineering, and software quality testing, our cost-effective testing solutions helps our clients to faster roll out their products and software, build brand recognition and increase their revenue and profitability. In today’s competitive business landscape where customers demand and expectations undergo a constant change, quality and speed have become key factors to become successful. No wonder businesses are increasingly opting for DevOps and Agile to respond to market shifts quickly and stay ahead of the competitors. In this scenario, some think testing to be still a domain that developers and business analysts can handle but it can’t be farther from the truth. Testing is still a much required specialized skill with technical and domain expertise, though the role and necessary skills of testers have changed.

Qlik Gold Client improves the efficiency, cost and security of managing test data in SAP environments. Qlik Gold Client is designed to eliminate development workarounds by easily moving configuration, master, and transactional data subsets into testing environments. Rapidly define, copy and synchronize transactional data from production to non-production targets. Identify, select, and delete non-production data. Manage extensive and powerful data transformations through a clean and easy-to-use interface. Automate data selection and enable hands-free test data refresh cycles, reducing time and effort for test data management. Qlik Gold Client provides several options to protect PII data in non-production environments via data masking. Data masking applies a set of rules to “scramble” your production data when it’s replicated to a non-production environment.

As physical customer interactions shift into digital, we can no longer rely on real-life conversations. Customers express their intents, share their needs through data. Understanding customers and testing our assumptions about them also happens through data. And privacy regulations such as GDPR and CCPA make a deep understanding even harder. The MOSTLY AI synthetic data platform bridges this ever-growing gap in customer understanding. A reliable, high-quality synthetic data generator can serve businesses in various use cases. Providing privacy-safe data alternatives is just the beginning of the story. In terms of versatility, MOSTLY AI's synthetic data platform goes further than any other synthetic data generator. MOSTLY AI's versatility and use case flexibility make it a must-have AI tool and a game-changing solution for software development and testing. From AI training to explainability, bias mitigation and governance to realistic test data with subsetting, referential integrity.

Fast test data generation engine with about 70 built-in functions and expression processor enables users to define complex test data with dependencies, internal structure, and relationships. The product analyzes existing database schema and resolves master-detail key structure (relationships) automatically. Value Library is a predefined data sets: names, countries, cities, streets, currencies, companies, industries, departments, regions, etc. Variables and Named Generators features provide a way to share data generation properties to similar columns. Intelligent schema analyzer makes your data realistic without extra project modifications and "data by example" feature makes data more realistic without extra efforts.