Best Test Data Management Tools in New Zealand

Parasoft's mission is to provide automated testing solutions and expertise that empower organizations to expedite delivery of safe and reliable software. 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.

QATTS is the industry's leading provider of cloud-based, comprehensive automation solutions. Our ready-to-use and custom automation testing solutions guarantee the highest quality of your products and software applications. Our team consists of QA analysts, test engineers, and other IT professionals. We work together to deliver reliable services and timely results. Our QA specialists are skilled in both manual and automated testing. They are proficient in implementing modern web, mobile, and desktop technologies as well as various testing tools. Our deep knowledge of automation and the trends has made us a one-stop shop for all your test automation needs. Our services include: • 100% cloud solutions • Data-driven Strategy • Functional testing • API • Test Data Management • Agile- CI/CD Integration • Database testing • Web Interface • Low code automation

K2View believes that every enterprise should be able to leverage its data to become as disruptive and agile as possible. We enable this through our Data Product Platform, which creates and manages a trusted dataset for every business entity – on demand, in real time. The dataset is always in sync with its sources, adapts to changes on the fly, and is instantly accessible to any authorized data consumer. We fuel operational use cases, including customer 360, data masking, test data management, data migration, and legacy application modernization – to deliver business outcomes at half the time and cost of other alternatives.

IRI FieldShield® is a powerful and affordable data discovery and de-identification package for masking PII, PHI, PAN and other sensitive data in structured and semi-structured sources. Front-ended in a free Eclipse-based design environment, FieldShield jobs classify, profile, scan, and de-identify data at rest (static masking). Use the FieldShield SDK or proxy-based application to secure data in motion (dynamic data masking). The usual method for masking RDB and other flat files (CSV, Excel, LDIF, COBOL, etc.) is to classify it centrally, search for it globally, and automatically mask it in a consistent way using encryption, pseudonymization, redaction or other functions to preserve realism and referential integrity in production or test environments. Use FieldShield to make test data, nullify breaches, or comply with GDPR. HIPAA. PCI, PDPA, PCI-DSS and other laws. Audit through machine- and human-readable search reports, job logs and re-ID risks scores. Optionally mask data when you map it; FieldShield functions can also run in IRI Voracity ETL and federation, migration, replication, subsetting, and analytic jobs. To mask DB clones run FieldShield in Windocks, Actifio or Commvault. Call it from CI/CD pipelines and apps.

IRI RowGen generates rows ... billions of rows of safe, intelligent test data in database, flat-file, and formatted report targets ... using metadata, not data. RowGen synthesizes and populates accurate, relational test data with the same characteristics of production data. RowGen uses the metadata you already have (or create on the fly) to randomly generate structurally and referentially correct test data, and/or randomly select data from real sets. 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. RowGen was designed by data modeling, integration, and processing experts to save time and energy in the creation of perfect, compliant test sets in production and custom formats. With RowGen, you can produce and provision safe, smart, synthetic test data for: DevOps, DB, DV, and DW prototypes, demonstrations, application stress-testing, and benchmarking -- all without needing production data.

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 ... 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 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. CloudTDMS is a No-code platform for your Test Data Management, it provides you everything you need to make your data development & testing go super fast! Especially, CloudTDMS solves the following challenges : -Regulatory Compliance -Test Data Readiness -Data profiling -Automation

ERBuilder Data Modeler, a GUI data modeling tool, allows developers to visualize, design and model databases using entity relationship diagrams. It automatically generates the most common SQL databases. Share the data model documentation with your team. You can optimize your data model with advanced features like schema comparison, schema synchronization, and test data generation.

The IRI Data Manager suite from IRI, The CoSort Company, provides all the tools you need to speed up data manipulation and movement. IRI CoSort handles big data processing tasks like DW ETL and BI/analytics. It also supports DB loads, sort/merge utility migrations (downsizing), and other data processing heavy lifts. IRI Fast Extract (FACT) is the only tool that you need to unload large databases quickly (VLDB) for DW ETL, reorg, and archival. IRI NextForm speeds up file and table migrations, and also supports data replication, data reformatting, and data federation. IRI RowGen generates referentially and structurally correct test data in files, tables, and reports, and also includes DB subsetting (and masking) capabilities for test environments. All of these products can be licensed standalone for perpetual use, share a common Eclipse job design IDE, and are also supported in IRI Voracity (data management platform) subscriptions.

Qualibrate, the cloud solution for SAP & Web Apps test automation, is like Salesforce. It has the power to be simple, customized, and integrate with most CI/CD tools. Test cases can be reused many times and are easy to maintain. It is risky to embark on a journey of software transformation. We offer a simple, yet powerful, solution to reduce risk and implement resources up to 80%. Recording a Business Process is all you have to do: user actions, test data and technical information will all be recorded. This recording will serve as your only source of truth for Automated and Manual tests, as well for Learning. Visit the website to learn more about Qualibrate's innovative approach to SAP and web app testing.

Mask, generate, subset, virtualize, and automate your test data with the DATPROF Test Data Management Suite. Our solution helps managing Personally Identifiable Information and/or too large databases. Long waiting times for test data refreshes are a thing of the past.

Test and verify data management for IBM iSeries, IBM iSeries and AS/400. Complex IBM i applications need to be tested from top to bottom and into the data wherever it is. TestBench IBM I is a proven, comprehensive solution for test data management, verification, and unit testing that integrates with other solutions to ensure application quality. Stop copying all the data and focus on what you need. You can select or sample data that has been kept in full referential integrity. You can choose which fields should be protected and then use a variety obfuscation techniques to protect your data. Track every insert, update, and delete. You can create rules to ensure that data failures are automatically flagged. Avoid painful save/restores, and stop trying to explain bad test results that were based on poor data. Although it is a proven method of verifying your test results, comparing outputs can be tedious and prone to error. This unique solution can save you hours.

It can generate generators instantly based on field length, table and column names, and other constraints. These generators can be customized to your needs. SQL Server Management Studio makes it easy to create large amounts of data in just a few clicks. Column-intelligent Data Generation - Generate data in one column based upon the data in another. Foreign key data can be created with greater flexibility and manual control. Shareable custom generators – Save regexp and SQL statement templates to share with your colleagues. You can write your own Python generators to create any additional data you require. Seeded random data generation makes it possible to generate the same set of data each time. Foreign key support for generating consistent data across multiple tables.

Database design * Database implementation * stored routines debuggers • test data generators • database auditing • data change loglogging * performance monitoring Fully featured test data generator tool: Generates real-life data into your database and data files. Firebird Server Monitoring Tool is the only one that is comprehensive and always up-to-date. Database Workbench provides a single environment for working with multiple databases engines. Database Workbench is a single development environment that allows you to develop with multiple database engines. It has powerful tools, consistent, clear, and intuitive user interfaces, which will help you increase your productivity right away.

Without making real API requests, it's difficult to create a meaningful UI prototype. Real requests will help you identify issues with timing, application flow, and API design. This will improve both the user experience as well as the API's quality. Mockaroo allows you to create your own mock APIs. You can control the URLs, response times, and error conditions. Paralellize UI development and API development to deliver better applications sooner! There are many great data mocking libraries for every language and platform. Not everyone is a programmer and not everyone has the time or desire to learn new frameworks. Mockaroo makes it easy to download large quantities of randomly generated test data, based on your specifications. This data can then be loaded directly into your test environment using SQL and CSV formats.

Datanamic Data Generator allows developers to quickly populate databases with thousands upon rows of meaningful, syntactically correct data for database testing purposes. A blank database is useless for testing your application. Test data is essential. It is difficult to create your own test data generators and scripts. Datanamic Data Generator can help. This tool is available for developers, DBAs, and testers who require sample data to test a database-driven app. Datanamic Data Generator makes it easy to generate database test data. It will read your database and display tables and columns according to their data generation settings. To generate complete (realistic) test data, only a few entries are required. This tool can be used to create test data from scratch, or from existing data.

The essential technical tool for product development, manufacturing, maintenance, and testing is testing. It is crucial in optimizing product performance and extending product life. It also helps to control costs. Enterprise testing can accumulate a lot of test data that needs to be managed and used. Test managers have always struggled to organize this complex, scattered and diverse test data. The bottleneck that limits the test level and efficiency of an enterprise is how to allocate test resources efficiently, use test benches and equipment efficiently, and standardize test procedures. The TDM system was created in response to the problems encountered by enterprise trial businesses.

Delphix is the industry leader for DataOps. It provides an intelligent data platform that accelerates digital change for leading companies around world. The Delphix DataOps Platform supports many systems, including mainframes, Oracle databases, ERP apps, and Kubernetes container. Delphix supports a wide range of data operations that enable modern CI/CD workflows. It also automates data compliance with privacy regulations such as GDPR, CCPA and the New York Privacy Act. Delphix also helps companies to sync data between private and public clouds, accelerating cloud migrations and customer experience transformations, as well as the adoption of disruptive AI technologies.

Agile DevOps teams today need to be able to move faster. BMC Compuware File AID is a cross-platform data and file management solution that allows developers and QA staff to quickly access the data and files they need, rather than searching for them. Developers spend less time on data-related tasks and more time developing new functionality or managing production issues. You can make code changes with confidence by rightsizing your test data without worrying about unintended consequences. File-AID allows developers to: Effectively manage files across platforms All file types are available, regardless of format or record length, for application integration To simplify the validation of test results, compare data files and objects You can easily reformat files instead of starting from scratch by simply changing an existing file format. Extract and load related data from multiple files and databases More

Data management software is used mainly by enterprise business teams. Data management software must be intuitive, automated, and intelligent. Data management activities must also adhere to specific industry and data protection regulations. Data must be accurate, consistent, high quality, and easily accessible to enable business teams to make informed, data-driven strategic business decisions. Integrates data privacy, data quality management and test data management. Service engine-based architecture allows for efficient handling of growing data volumes. Uses a user-defined function framework with python adapter to handle niche data processing needs. This provides a minimal layer of governance for data quality and privacy management.

EMS Data Generator for MySQL is a powerful tool that generates test data for MySQL database tables. It also allows you to save and modify scripts. This utility allows you to simulate a database production environment. It allows you to populate multiple MySQL database tables simultaneously, set value ranges and generate MySQL char fields using mask. You can also define tables and fields for data generation, create lists of values manually, select them from SQL queries, and set generation parameters for each type. There are many other features that allow you to generate MySQL test data quickly and easily. Data Generator for MySQL also includes a console application that allows you to quickly generate MySQL test data by using generation templates.

We can help you find, create, and subset data for test data; visualize test coverage; and protect data so that you can concentrate on development. Automate provisioning synthetically, subsetted, or masked data for development and testing purposes. Consistent masking across databases and within databases allows you to quickly identify sensitive data locations. To improve testers' efficiency, store, augment, share, or reuse test datasets. To reduce infrastructure requirements and increase performance, provision smaller data sets. Our comprehensive collection of masking techniques can be used to protect data across applications. To ensure solution integrity and speed deployments, support packaged applications. To align with data governance initiatives, engage risk, compliance, audit and other teams. Test efficiency can be improved with reliable, trusted production data sets. Server and storage footprints can be reduced with data sets that are targeted for each team.

Enterprise synthetic test data solutions. It is essential that test data accurately reflects the structure of your database or application. This means it must be easy for you to model and maintain each project. Respect the referential integrity of parent/child/sibling relations across data domains within an app database or across multiple databases used for multiple applications. Ensure consistency and integrity of synthetic attributes across applications, data sources, and targets. A customer name must match the same customer ID across multiple transactions simulated by real-time synthetic information generation. Customers need to quickly and accurately build their data model for a test project. GenRocket offers ten methods to set up your data model. XTS, DDL, Scratchpad, Presets, XSD, CSV, YAML, JSON, Spark Schema, Salesforce.

We can no longer rely upon real-life conversations as physical customer interactions shift to digital. Customers communicate their intentions and share their needs using data. Data is a key tool for understanding customers and testing our assumptions. Privacy regulations like GDPR and CCPA make deep understanding more difficult. This gap in customer understanding is bridged by the MOSTLY AI synthetic dataset platform. Businesses can benefit from a reliable, high-quality generator of synthetic data in many different applications. The story doesn't end there. MOSTLY AI's synthetic dataset platform is more versatile than any other synthetic data generator. MOSTLY AI's versatility makes it an indispensable tool for software development and testing. From AI training to explainability and bias mitigation, governance to realistic test data, with subsetting, referential integrity.

A self-service platform for synthetic data, with a focus on object and human data. The Datagen Platform gives you granular control over the data generation process. Analyzing your neural networks can help you understand what data is required to improve them. You can then easily generate the data that you need to train your network. Datagen is a powerful platform that can help you solve your problems. It allows you to generate high-quality, high-variety, domain-specific, simulated artificial data. Advanced capabilities include the ability to simulate dynamic people and objects within their context. Datagen gives CV teams unprecedented flexibility to control visual outcomes in a variety of 3D environments.

CSRNG stands to "Cryptographically Secure Random Number Generator". It says it all! CSRNG Lite is easy to use, well-documented, fast, and convenient. It provides you with a NIST certified random number generator that will provide random numbers for your applications. This can be used for cryptography, gambling apps, research, statistics and academics. To change the scope of our number generator, you can modify the query URL's min and max values. We offer a customizable API that you can subscribe to for more complex, live websites or custom needs. All professional features of CSRNG, plus the ability to store random number requests for later reference. Our query API returns results in exactly the same format as the random numbers generator API, so you can reuse stored data later. You can also request unique numbers within a specific scope. This is ideal for statisticians, survey companies, gambling websites and other statisticians.