Tonic Alternatives

Test Data Management solutions like data masking, synthetic data generation, data subsetting, data discovery, database virtualization, data automation are our core business. We see and understand the struggles of software development teams with test data. Personally Identifiable Information? Too large environments? Long waiting times for a test data refresh? We envision to solve these issues: - Obfuscating, generating or masking databases and flat files; - Extracting or filtering specific data content with data subsetting; - Discovering, profiling and analysing solutions for understanding your test data, - Automating, integrating and orchestrating test data provisioning into your CI/CD pipelines and - Cloning, snapshotting and timetraveling throug your test data with database virtualization. We improve and innovate our test data software with the latest technologies every single day to support medium to large size organizations in their Test Data Management.

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.

Take the load off of DevOps and eliminate privacy concerns by giving your teams full data autonomy and independence via an easy-to-use self-service portal. Simplify access, eliminate data roadblocks and speed up provisioning for dev, testing, data analysts and more. Accelario Continuous DataOps Platform is a one-stop-shop for handling all of your data needs. Eliminate DevOps bottlenecks and give your teams the high-quality, privacy-compliant data they need. The platform’s four distinct modules are available as stand-alone solutions or as a holistic, comprehensive DataOps management platform. Existing data provisioning solutions can’t keep up with agile demands for continuous, independent access to fresh, privacy-compliant data in autonomous environments. Teams can meet agile demands for fast, frequent deliveries with a comprehensive, one-stop-shop for self-provisioning privacy-compliant high-quality data in their very own environments.

Privacy engineering tools delivered to you as APIs. Synthesize and transform data in minutes. Build trust with your users and community. Gretel’s APIs grant immediate access to creating anonymized or synthetic datasets so you can work safely with data while preserving privacy. Keeping the pace with development velocity requires faster access to data. Gretel is accelerating access to data with data privacy tools that bypass blockers and fuel Machine Learning and AI applications. Keep your data contained by running Gretel containers in your own environment or scale out workloads to the cloud in seconds with Gretel Cloud runners. Using our cloud GPUs makes it radically more effortless for developers to train and generate synthetic data. Scale workloads automatically with no infrastructure to set up and manage. Invite team members to collaborate on cloud projects and share data across teams.

Safely share your production data with ML, data science, and analytics teams while safeguarding customer trust. Stop fiddling with regexes and open-source models. Private AI efficiently anonymizes 50+ entities of PII, PCI, and PHI across GDPR, CPRA, and HIPAA in 49 languages with unrivaled accuracy. Replace PII, PCI, and PHI in text with synthetic data to create model training datasets that look exactly like your production data without compromising customer privacy. Remove PII from 10+ file formats, such as PDF, DOCX, PNG, and audio to protect your customer data and comply with privacy regulations. Private AI uses the latest in transformer architectures to achieve remarkable accuracy out of the box, no third-party processing is required. Our technology has outperformed every other redaction service on the market. Feel free to ask us for a copy of our evaluation toolkit to test on your own data.

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

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.

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.

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.

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.

A self-service synthetic data platform for visual AI applications, focusing on human and object data. The Datagen Platform allows for granular control over your data generation. You can analyze your neural networks to understand what data is needed to improve them, then easily generate that exact data and use it to train your network. To solve your challenges, Datagen provides a powerful platform that allows you to generate high-quality & high variance, domain-specific, simulated synthetic data. Access advanced capabilities such as the ability to simulate dynamic humans and objects in their context. With Datagen, CV teams have unparalleled flexibility to control visual outcomes across a broad variance of 3D environments. Ability to define the distributions for every part of the data with no inherent biases.

Retain context, form, and integrity while preserving privacy. Enhance data protection by de-sensitizing and de-identifying sensitive data, and pseudonymize data for privacy compliance and analytics. Obscured data retains context and referential integrity remain consistent, so the masked data can be used in testing, analytics, or support environments. As a highly scalable, high-performance data masking solution, Informatica Persistent Data Masking shields confidential data—such as credit card numbers, addresses, and phone numbers—from unintended exposure by creating realistic, de-identified data that can be shared safely internally or externally. It also allows you to reduce the risk of data breaches in nonproduction environments, produce higher-quality test data and streamline development projects, and ensure compliance with data-privacy mandates and regulations.

Advanced technology and services to safely transform and enhance sensitive data into actionable insights, help drive innovation, and open new revenue streams. Using the Mimic synthetic data engine, companies can safely synthesize their data assets, protecting consumer privacy information from being exposed, while still maintaining the statistical relevancy of the data. The synthetic data can then be used for internal initiatives like analytics, machine learning and AI, marketing and segmentation activities, and new revenue streams through external data monetization. Mimic enables you to safely move statistically-relevant synthetic data to the cloud ecosystem of your choice to get the most out of your data. Analytics, insights, product development, testing, and third-party data sharing can all be done in the cloud with the enhanced synthetic data, which has been certified to be compliant with regulatory and privacy laws.

Describe your data model on an abstract level in XML. Involve your business people as no developer skills are necessary. Use a wide range of function libraries to fake realistic data. Write your own extensions in Javascript or Java. Integrate your data processes into Gitlab CI or Jenkins. Generate, anonymize, and migrate with Benerator’s model-driven data toolkit. Define processes to anonymize or pseudonymize data in plain XML on an abstract level without the need for developer skills. Stay GDPR compliant with your data and protect the privacy of your customers. Mask and obfuscate sensitive data for BI, test, development, or training purposes. Combine data from various sources (subsetting) and keep the data integrity. Migrate and transform your data in multisystem landscapes. Reuse your testing data models to migrate production environments. Keep your data consistent and reliable in a microsystem architecture.

Set your enterprise data free. Hazy re-engineer your enterprise data to make it faster, easier and safer to use. We enable every enterprise to actually use its data. Data has never been more valuable. But with growing privacy demands and tightening regulations, most of the world’s data is locked away and unusable. Hazy has pioneered a new approach that allows you to actually use your data. So you can make better decisions, develop new technologies and deliver more value for your customers. Create and deploy realistic test data to quickly validate new systems and technologies and accelerate your organization’s digital transformation. Generate enough safe, high-quality data to build, train and improve the algorithms that power your AI applications and enable automation. Empower teams to generate and share accurate analytics and intelligence on products, customers, and operations to improve decision-making.

Synth is an open-source data-as-code tool that provides a simple CLI workflow for generating consistent data in a scalable way. Use Synth to generate correct, anonymized data that looks and quacks like production. Generate test data fixtures for your development, testing, and continuous integration. Generate data that tells the story you want to tell. Specify constraints, relations, and all your semantics. Seed development and environments and CI. Anonymize sensitive production data. Create realistic data to your specifications. Synth uses a declarative configuration language that allows you to specify your entire data model as code. Synth can import data straight from existing sources and automatically create accurate and versatile data models. Synth supports semi-structured data and is database agnostic, playing nicely with SQL and NoSQL databases. Synth supports generation for thousands of semantic types such as credit card numbers, email addresses, and more.

Operationalize your data pipelines with privacy-centric data management software. Trūata Calibrate empowers organizations to make data usable while leveraging privacy as a commercial differentiator. Our frictionless, cloud-native software enables businesses to operationalize privacy-compliant data pipelines at speed, so teams can work with data responsibly and confidently. Powered by intelligent automation, Trūata Calibrate facilitates fast and effective risk measurement and mitigation via a centralized dashboard. The platform provides a smart, standardized solution for managing privacy risks and ensures that data can be effectively transformed for safe use right across your business ecosystem. Access dynamic recommendations for data transformation and view privacy-utility impact simulations before performing forensically targeted de-identification to mitigate risks. Transform data to create privacy-enhanced datasets that can be shared or transferred and used responsibly by teams.

Automatically anonymize faces, license plates, bodies, and vehicles, easy to use and integrate on all platforms. Solve privacy challenges for a wide range of commercial and industrial use cases. Global industry leaders put trust in our products and expertise. We are solving anonymization challenges, so you can focus on your core business. Our team is on your side, helping you on your privacy journey. Data Protection is our core business, and that's why we have strong measures in place to comply with the GDPR and other data protection laws. You can use our cloud service, where all the processing is done on our infrastructure. Or use our Docker container to deploy it on-premise or in your private/public cloud environment. We charge a fee per image or video hour, and you can create a demo account and test it for free. Blur faces, license plates, persons and vehicles on images in seconds with a simple REST call.

Testing and test data management for IBM i, IBM iSeries, AS/400. Complex IBM i applications must be checked from top to bottom, right into the data, wherever it is. TestBench IBM i is a comprehensive, proven test data management, verification and unit testing solution that integrates with other solutions for total application quality. Stop copying the entire live database and hone in on the data you really need. Select or sample data with full referential integrity preserved. Simply decide which fields need to be protected and use a variety of obfuscation methods to protect your data. Track every insert, update and delete including intervening data states. Create rules so that data failures are flagged to you automatically. Avoid the painful save/restores and stop attempting to explain bad test results based on poor initial data. Comparing outputs is a well proven method to verify your test results but it can be laborious and prone to error. This unique solution can save hours.

While enterprise data is exploding and scattered across various systems, oversight of driving privacy, data security, and governance has become very challenging. As a result, businesses hold significant risks in the form of data breaches, privacy lawsuits, and penalties. Finding data privacy risks in an enterprise is a complex, and time-consuming effort that takes months involving a team of data engineers. Data breaches and privacy laws are requiring companies to have a better grip on which users have access to the data, and how the data is used. But enterprise data is complex, so even if a team of engineers works for months, they will have a tough time isolating data privacy risks or quickly finding ways to reduce them.

Power up your AI and data projects with the most valuable data At Synthesized, we unlock data's full potential by automating all stages of data provisioning and data preparation with a cutting-edge AI. We protect from privacy and compliance hurdles by virtue of the data being synthesized through the platform. Software for preparing and provisioning of accurate synthetic data to build better models at scale. Businesses solve the problem of data sharing with Synthesized. 40% of companies investing in AI cannot report business gains. Stay ahead of your competitors and help data scientists, product and marketing teams focus on uncovering critical insight with our simple-to-use platform for data preparation, sanitization and quality assessment. Testing data-driven applications is difficult without representative datasets and this leads to issues when services go live.

Overcome challenges in acquiring data for machine learning and AI systems training. Rendered.ai is a PaaS designed for data scientists, engineers, and developers. Generate synthetic datasets for ML/AI training and validation. Experiment with sensor models, scene content, and post-processing effects. Characterize and catalog real and synthetic datasets. Download or move data to your own cloud repositories for processing and training. Power innovation and increase productivity with synthetic data as a capability. Build custom pipelines to model diverse sensors and computer vision inputs​. Start quickly with free, customizable Python sample code to model SAR, RGB satellite imagery, and more sensor types​. Experiment and iterate with flexible licensing that enables nearly unlimited content generation. Create labeled content rapidly in a hosted, high-performance computing environment​. Enable collaboration between data scientists and data engineers with a no-code configuration experience.

A synthetic data platform for ML engineers to enable the development of more capable AI models. Simple APIs provide on-demand generation of perfectly-labeled, diverse, and photoreal images. Highly-scalable cloud-based generation platform delivers millions of perfectly labeled images. On-demand data enables new data-centric approaches to develop more performant models. An expanded set of pixel-perfect labels including segmentation maps, dense 2D/3D landmarks, depth maps, surface normals, and much more. Rapidly design, test, and refine your products before building hardware. Prototype different imaging modalities, camera placements, and lens types to optimize your system. Reduce bias in your models associated with misbalanced data sets while preserving privacy. Ensure equal representation across identities, facial attributes, pose, camera, lighting, and much more. We have worked with world-class customers across many use cases.

Privacy Analytics provides data anonymization services and software for organizations in the consumer and healthcare industries. We enable you to use your sensitive data assets safely and responsibly for innovation that benefits everyone. With Privacy Analytics you can safely de-identify health data to the highest standard, while preserving its utility. Regulatory deadlines are getting more stringent. Timelines to fulfill data requests are getting tighter. Pressure to uphold your company’s reputation has never been more apparent. The climate around data privacy continues to intensify. Everyone from consumers to regulators are holding organizations accountable. With so many stakeholders demanding more transparency, the pressure for drug makers to safely disclose clinical data and documents has never been higher. And as pressure rises, so too does the bar for privacy. You need solutions that both maximize transparency and protect the privacy of trial participants.

Automate the DSAR response process to meet requirements faster and on budget. Find data that can and/or should legally be archived or deleted due to age or lack of use. Create rules that will delete or redact sensitive data as soon as it is found. Detect and confirm breaches with monitoring, then accurately estimate and report on the breach’s impact. Enable pseudonymization, anonymization, and de-identification of private personal data. Continuously monitor endpoints, servers, and enterprise solutions for privacy data. Organizations are required to keep up with the ever-changing privacy landscape and protect personally identifiable information they interact with. PK Privacy gives organizations the power to automate data discovery and reporting mechanisms to assist with reducing the operational complications of privacy legislation. Once PK Privacy discovers data, it can automatically encrypt, mask, redact, delete, or otherwise remediate personal information.

Today’s businesses face significant punishment if they do not meet the ever-increasing privacy requirements of both regulators and the public. Vendors need to keep abreast by adding new algorithms to protect sensitive data such as PII and PHI. HushHush stays at the forefront of privacy protection (Patents: US9886593, US20150324607A1, US10339341) with its PII data discovery and anonymization tool workbench (also known as data de-identification, data masking, and obfuscation software). It helps you find your and your customer's sensitive data, classify it, anonymize it, and comply with GDPR, CCPA, HIPAA / HITECH, and GLBA requirements. Use a collection of rule-based atomic add-on anonymization components to configure comprehensive and secure data anonymization solutions. HushHush components are out-of-the box solutions designed to anonymize both direct identifiers (SSN, credit cards, names, addresses, phone numbers, etc.) as well as indirect identifiers, with both fixed algorithms.

You alone have full control over the encryption of your data – at any time and definitely without backdoors. All Systems – One Solution. Thanks to the patented template concept you can use the eperi® Gateway for all your (cloud-) applications and adapt it to your data protection requirements. Your employees can continue working as usual, while the eperi® Gateway encrypts data transparently and preserves the central functions of your applications (such as search and sort). Take advantage of cloud applications while staying compliant with the stringent regulations of the financial industry like privacy-preserving analytics. IoT brings forth smart machines and products that collect data independently and automatically. Thanks to encryption, you can ensure data privacy and comply with legislation.

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.

IBM InfoSphere® Optim™ Data Privacy provides extensive capabilities to effectively mask sensitive data across non-production environments, such as development, testing, QA or training. To protect confidential data this single offering provides a variety of transformation techniques that substitute sensitive information with realistic, fully functional masked data. Examples of masking techniques include substrings, arithmetic expressions, random or sequential number generation, date aging, and concatenation. The contextually accurate masking capabilities help masked data retain a similar format to the original information. Apply a range of masking techniques on-demand to transform personally-identifying information and confidential corporate data in applications, databases and reports. Data masking features help you to prevent misuse of information by masking, obfuscating, and privatizing personal information that is disseminated across non-production environments.

RNDGen Random Data Generator is a free user-friendly tool for generate test data. The data creator uses an existing data model and customizes it to create a mock data table structure for your needs. Random Data Generator also known like json generator, dummy data generator, csv generator, sql dummy or mock data generator. Data Generator by RNDGen allows you to easily create dummy data for tests that are representative of real-world scenarios, with the ability to select from a wide range of fake data details fields including name, email, location, address, zip and vin codes and many others. You can customize generated dummy data to meet your specific needs. With just a few clicks, you can quickly generate thousands of fake data rows in different formats, including CSV, SQL, JSON, XML, Excel, making RNDGen the ultimate tool for all your data generation needs instead of standard mock datasets.

We offer data anonymization software that generates entirely anonymous synthetic datasets for our customers. The synthetic data generated by Statice contains statistical properties similar to real data but irreversibly breaks any relationships with actual individuals, making it a valuable and safe to use asset. It can be used for behavior, predictive, or transactional analysis, allowing companies to leverage data safely while complying with data regulations. Statice’s solution is built for enterprise environments with flexibility and security in mind. It integrates features to guarantee the utility and privacy of the data while maintaining usability and scalability. It supports common data types: Generate synthetic data from structured data such as transactions, customer data, churn data, digital user data, geodata, market data, etc We help your technical and compliance teams validate the robustness of our anonymization method and the privacy of your synthetic data

OpenText Data Express is designed to manage the test data environment: improving test results, lowering testing costs, securing customer data from loss or misuse, and enabling accelerated delivery and privacy compliance. Data Express automates the generation of test data environments, so elapsed time is reduced by up to 80%. By masking sensitive information, test data retains its value for testing while keeping it safe from unauthorized use. Data Express provides a single repository of test data knowledge. It offers a wealth of management tools to ensure that test managers can control the repeated generation of test data.

Our AI-driven, autonomous low-code automation platform is designed to help you achieve the highest quality outcome in the shortest amount of time possible. Generate automation scripts automatically in plain English with our Natural Language Processing (NLP) powered solution, and allow your coders to focus on innovation. Maintain quality throughout your application lifecycle with our autonomous discovery and up-to-date tracking of changes. Reduce risk in your dynamic development environment with our autonomous healing capability and deliver flawless updates by keeping automation current. Ensure compliance with all regulatory requirements and eliminate security risk using AI-generated synthetic data for all your automation needs. Run multiple tests in parallel, determine test frequency, keep pace with browser updates and executions across operating systems and platforms.

The PHEMI Trustworthy Health DataLab is a unique, cloud-based, integrated big data management system that allows healthcare organizations to enhance innovation and generate value from healthcare data by simplifying the ingestion and de-identification of data with NSA/military-grade governance, privacy, and security built-in. Conventional products simply lock down data, PHEMI goes further, solving privacy and security challenges and addressing the urgent need to secure, govern, curate, and control access to privacy-sensitive personal healthcare information (PHI). This improves data sharing and collaboration inside and outside of an enterprise—without compromising the privacy of sensitive information or increasing administrative burden. PHEMI Trustworthy Health DataLab can scale to any size of organization, is easy to deploy and manage, connects to hundreds of data sources, and integrates with popular data science and business analysis tools.

Create, transform, and analyze any text data in your spreadsheet. Automatically normalize addresses, separate columns, extract entities, and more. Rewrite SEO content, write blog posts, generate product description variations, and more. Create synthetic data like first/last names, addresses, phone numbers, and more. Generate bullet-point summaries, rewrite existing content with fewer words, and more. Categorize product feedback, prioritize sales leads, discover new trends, and more. Charm offers several templates that help people complete common workflows faster. Use the Summarize With Bullet Points template to generate summaries of existing long content in the form of a short list of bullets. Use the Translate Language template to translate existing content into another language.

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. Paralellize 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.

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.

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.

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.

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 Privitar Data Provisioning Platform is a comprehensive, modern data provisioning platform that enables collaboration across data owners, data consumers and data guardians to deliver safe data – within and beyond an organization – in a fraction of the time compared with traditional approaches. Privitar is making sensitive data highly accessible through the application of privacy enhancing technologies, so organizations like yours can optimize business and customer outcomes. Countdown to launch with us and learn why only Privitar has the right combination of technology and expertise to create a safe and modern data provisioning ecosystem. Early access gets you a front row seat as we embark on the path of empowering organizations to use all of their data safely! For your business, we enable rapid, self-service access to safe data to drive new revenue opportunities, all while seamlessly integrating within your existing infrastructure to reduce cost and speed time to value.

Mask your personal data while ensuring it looks and acts like real data. Software development needs realistic test data. DOT Anonymizer masks your test data while ensuring its consistency, across all your data sources and DBMS. The use of personal or identifying data outside of production (development, testing, training, BI, external service providers, etc.) carries a major risk of data leak. Increasing regulations across the world require companies to anonymize/pseudonymize personal or identifying data. Anonymization enables you to retain the original data format. Your teams work with fictional but realistic data. Manage all your data sources and maintain their usability. Invoke DOT Anonymizer functions from your own applications. Consistency of anonymizations across all DBMS and platforms. Preserve relations between tables to guarantee realistic data. Anonymize all database types and files like CSV, XML, JSON, etc.

Safely store, anonymize, mask, mine, redact, and share sensitive data with 100% data accuracy and full international data privacy compliance. Reap significant time and cost savings, with no loss of functionality, when you separate PII from identified data. Embed PII Vault to create innovative solutions, reduce time to market, and deliver the most PII secure solutions anywhere. Unlock data to deliver more accurate and targeted messaging. Provide one, simple step to anonymize all data before it reaches your platform. Combine disparate, anonymous data sets at the individual level without ever receiving PII once that data has been anonymized with Poly- Anonymization™. Replace PII with a compliant multi-value, non-identifying key used in anonymous data matching to link data from multiple organizations.

Adopting data-centric AI has never been easier with automated data quality profiling and synthetic data generation. We help data scientists to unlock data's full potential. YData Fabric empowers users to easily understand and manage data assets, synthetic data for fast data access, and pipelines for iterative and scalable flows. Better data, and more reliable models delivered at scale. Automate data profiling for simple and fast exploratory data analysis. Upload and connect to your datasets through an easily configurable interface. Generate synthetic data that mimics the statistical properties and behavior of the real data. Protect your sensitive data, augment your datasets, and improve the efficiency of your models by replacing real data or enriching it with synthetic data. Refine and improve processes with pipelines, consume the data, clean it, transform your data, and work its quality to boost machine learning models' performance.

The VGS Vault enables users to safely store their tokenized data. This creates a safe haven for your most sensitive data. In the event of a breach, there’s nothing to steal. You can’t hack what’s not there. VGS is the modern approach to data security. Our SaaS solution gives you all the benefits of interacting with sensitive and regulated data without the liability of securing it. Use the interactive example to see how data is transformed by VGS. Choose Redact or Reveal to hide or display data, respectively. Whether you’re building a new product and want best-in-class security from the start or are an established company looking to eliminate compliance as a roadblock to new business, VGS can help. VGS takes on the liability of securing your data, eliminating the risk of data breaches and reducing compliance overhead. For companies that prefer to vault their own data, VGS layers on protection to the systems, preventing unauthorized access and leakage.

Protect critical IBM i applications from downtime and guard against data loss with simple, scalable, full-featured available and disaster recovery products. Assure QuickEDD replicates IBM i data and objects in real-time to local or remote backup servers. These servers then stand ready to assume the production role or recover data, including data from past points in time. Assure Quick EDD is expandable to multiple nodes and supports multiple replication topologies. It can also be used with a variety of IBM i OS levels and storage combinations and is scalable from SMB to enterprise workloads. The service uses a graphical interface that supports seven languages and a 5250 interface, with customizable switch procedures that can run step-by-step, interactively or in batch mode. Tools are provided for analysis, monitoring, and specific configurations, and reports can be created on your HA environment, job logs, and more. Alerts are also available through email, MSGQ, and SNMP.

SKY ENGINE AI is a simulation and deep learning platform that generates fully annotated, synthetic data and trains AI computer vision algorithms at scale. The platform is architected to procedurally generate highly balanced imagery data of photorealistic environments and objects and provides advanced domain adaptation algorithms. SKY ENGINE AI platform is a tool for developers: Data Scientists, ML/Software Engineers creating computer vision projects in any industry. SKY ENGINE AI is a Deep Learning environment for AI training in Virtual Reality with Sensors Physics Simulation & Fusion for any Computer Vision applications. SKY ENGINE AI Synthetic Data Generation makes Data Scientist life easier providing perfectly balanced datasets for any Computer Vision applications like object detection & recognition, 3D positioning, pose estimation and other sophisticated cases including analysis of multi-sensor data i.e., Radars, Lidars, Satellite, X-rays, and more.

KopiKat is a revolutionary data augmentation tool that improves the accuracy of AI models without changing the network architecture. KopiKat extends standard methods of data augmentation by creating a new photorealistic copy of the original image while preserving all essential data annotations. You can change the environment of the original images, such as weather, seasons, lighting conditions, etc. The result is a rich model whose quality and diversity are superior to those produced using traditional data augmentation techniques.

dbForge Data Generator for Oracle is a small but mighty GUI tool for populating Oracle schemas with tons of realistic test data. Having an extensive collection of 200+ predefined and customizable data generators for various data types, the tool delivers flawless and quick data generation (including random number generation) in easy to use interface. Data Generator offers flexible options and templates to create and use your own generators to better suit your requirements. Key features: * Generate large volumes of data for multiple Oracle database versions * Support for inter-column dependency * Avoid the need for data entry in multiple databases manually * Automate and optimize data generation tasks in the command line * Add reliability to the application with meaningful test data * Output the data generation script to a file * Increase testing efficiency by sharing and reusing datasets * Eliminate risks to access secure data by provisioning test data

Syntheticus® empowers data exchange and overcomes limitations in data access, scarcity, and bias - at scale. With our synthetic data platform, you generate high-quality and compliant data samples tailored to your business needs and analytics goals. With synthetic data, you easily tap into a wide range of high-quality sources that are not always available in the real world. By accessing high-quality, consistent data, you conduct more reliable research, leading to better products, services, and business decisions. With fast, reliable data sources at your fingertips, you accelerate product development cycles and improve time-to-market. Synthetic data is designed to be private and secure by default, protecting sensitive data and maintaining compliance with privacy laws and regulations.