Alternatives to TCS MasterCraft DataPlus

Titaniam provides enterprises and SaaS vendors with a full suite of data security controls in one solution. This includes highly advanced options such as encrypted search and analytics, and also traditional controls such as tokenization, masking, various types of encryption, and anonymization. Titaniam also offers BYOK/HYOK (bring/hold your own key) for data owners to control the security of their data. When attacked, Titaniam minimizes regulatory overhead by providing evidence that sensitive data retained encryption. Titaniam’s interoperable modules can be combined to support hundreds of architectures across multiple clouds, on-prem, and hybrid environments. Titaniam provides the equivalent of at 3+ solutions making it the most effective, and economical solution in the market. Titaniam is featured by Gartner across multiple categories in four markets (Data Security, Data Privacy, Enterprise Key Management, and as a Cool Vendor for 2022). Titaniam is also a TAG Cyber Distinguished Vendor, and an Intellyx Digital Innovator for 2022. In 2022 Titaniam won the coveted SINET16 Security Innovator Award and was also a winner in four categories for the Global Infosec Awards at RSAC2022.

Satori is a Data Security Platform (DSP) that enables self-service data and analytics for data-driven companies. With Satori, users have a personal data portal where they can see all available datasets and gain immediate access to them. That means your data consumers get data access in seconds instead of weeks. Satori’s DSP dynamically applies the appropriate security and access policies, reducing manual data engineering work. Satori’s DSP manages access, permissions, security, and compliance policies - all from a single console. Satori continuously classifies sensitive data in all your data stores (databases, data lakes, and data warehouses), and dynamically tracks data usage while applying relevant security policies. Satori enables your data use to scale across the company while meeting all data security and compliance requirements.

Immuta's Data Access Platform is built to give data teams secure yet streamlined access to data. Every organization is grappling with complex data policies as rules and regulations around that data are ever-changing and increasing in number. Immuta empowers data teams by automating the discovery and classification of new and existing data to speed time to value; orchestrating the enforcement of data policies through Policy-as-code (PaC), data masking, and Privacy Enhancing Technologies (PETs) so that any technical or business owner can manage and keep it secure; and monitoring/auditing user and policy activity/history and how data is accessed through automation to ensure provable compliance. Immuta integrates with all of the leading cloud data platforms, including Snowflake, Databricks, Starburst, Trino, Amazon Redshift, Google BigQuery, and Azure Synapse. Our platform is able to transparently secure data access without impacting performance. With Immuta, data teams are able to speed up data access by 100x, decrease the number of policies required by 75x, and achieve provable compliance goals.

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.

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 Voracity is an end-to-end software platform for fast, affordable, and ergonomic data lifecycle management. Voracity speeds, consolidates, and often combines the key activities of data discovery, integration, migration, governance, and analytics in a single pane of glass, built on Eclipse™. Through its revolutionary convergence of capability and its wide range of job design and runtime options, Voracity bends the multi-tool cost, difficulty, and risk curves away from megavendor ETL packages, disjointed Apache projects, and specialized software. Voracity uniquely delivers the ability to perform data: * profiling and classification * searching and risk-scoring * integration and federation * migration and replication * cleansing and enrichment * validation and unification * masking and encryption * reporting and wrangling * subsetting and testing Voracity runs on-premise, or in the cloud, on physical or virtual machines, and its runtimes can also be containerized or called from real-time applications or batch jobs.

Testing and managing test data for IBM i, IBM iSeries, and AS/400 systems requires thorough validation of complex applications, extending down to the underlying data. TestBench for IBM i offers a robust and reliable solution for test data management, verification, and unit testing, seamlessly integrating with other tools to ensure overall application quality. Instead of duplicating the entire live database, you can focus on the specific data that is essential for your testing needs. By selecting or sampling data while maintaining complete referential integrity, you can streamline the testing process. You can easily identify which fields require protection and employ various obfuscation techniques to safeguard your data effectively. Additionally, you can monitor every insert, update, and delete action, including the intermediate states of the data. Setting up automatic alerts for data failures through customizable rules can significantly reduce manual oversight. This approach eliminates the tedious save and restore processes and helps clarify any inconsistencies in test results that stem from inadequate initial data. While comparing outputs is a reliable way to validate test results, it often involves considerable effort and is susceptible to mistakes; however, this innovative solution can significantly reduce the time spent on testing, making the entire process more efficient. With TestBench, you can enhance your testing accuracy and save valuable resources.

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.

DevOps can be simplified and privacy concerns eliminated by giving your teams full data autonomy via an easy-to use self-service portal. You can simplify access, remove data roadblocks, and speed up provisioning for data analysts, dev, testing, and other purposes. The Accelario Continuous DataOps platform is your one-stop-shop to all of your data needs. Eliminate DevOps bottlenecks, and give your teams high-quality, privacy-compliant information. The platform's four modules can be used as standalone solutions or as part of a comprehensive DataOps management platform. Existing data provisioning systems can't keep pace with agile requirements for continuous, independent access and privacy-compliant data in autonomous environments. With a single-stop-shop that provides comprehensive, high-quality, self-provisioning privacy compliant data, teams can meet agile requirements for frequent deliveries.

As enterprise data explodes and is scattered across multiple systems, the oversight of privacy, data security and governance has become a very difficult task. Businesses are exposed to significant risks, including data breaches, privacy suits, and penalties. It takes months to find data privacy risks within an organization. A team of data engineers is involved in the effort. Data breaches and privacy legislation are forcing companies to better understand who has access to data and how it is used. Enterprise data is complex. Even if a team works for months to isolate data privacy risks, they may not be able to quickly find ways to reduce them.

Unlike most data management systems, PHEMI Health DataLab is built with Privacy-by-Design principles, not as an add-on. This means privacy and data governance are built-in from the ground up, providing you with distinct advantages: Lets analysts work with data without breaching privacy guidelines Includes a comprehensive, extensible library of de-identification algorithms to hide, mask, truncate, group, and anonymize data. Creates dataset-specific or system-wide pseudonyms enabling linking and sharing of data without risking data leakage. Collects audit logs concerning not only what changes were made to the PHEMI system, but also data access patterns. Automatically generates human and machine-readable de- identification reports to meet your enterprise governance risk and compliance guidelines. Rather than a policy per data access point, PHEMI gives you the advantage of one central policy for all access patterns, whether Spark, ODBC, REST, export, and more

Enhance your privacy compliance and data security initiatives on Salesforce by utilizing an extensive range of products. Effective privacy programs hinge on meticulous data inventories and comprehensive risk evaluations. Unfortunately, many organizations fail to identify all data sources and are often bogged down by outdated manual processes and spreadsheets. Our Personal Data Inventory solution is specifically crafted to automate and optimize Data Protection Impact Assessments (DPIA) and enterprise data inventory procedures. This tool simplifies the task for organizations, ensuring they maintain an accurate data inventory alongside a thorough risk assessment. As the volume of privacy rights requests continues to rise, handling these requests manually can lead to inconsistencies, errors, and a greater chance of falling out of compliance. Our Privacy Rights Automation solution allows for self-service options and automates all activities related to privacy rights. By implementing this standardized and reliable solution, organizations can significantly reduce the risk of non-compliance while improving overall efficiency. Ultimately, investing in these tools not only promotes adherence to privacy regulations but also enhances customer trust and confidence.

Modern enterprises encounter severe repercussions if they fail to comply with the growing privacy standards set by regulators and the public alike. To stay competitive, vendors must continuously integrate advanced algorithms aimed at safeguarding sensitive information such as Personally Identifiable Information (PII) and Protected Health Information (PHI). HushHush leads the way in privacy defense through its innovative PII data discovery and anonymization tool, which is also referred to as data de-identification, data masking, and obfuscation software. This tool assists organizations in locating, classifying, and anonymizing sensitive data, ensuring compliance with regulations like GDPR, CCPA, HIPAA/HITECH, and GLBA. It offers a suite of rule-based atomic add-on components that empower users to build robust and secure data anonymization strategies. HushHush's solutions are pre-configured to effectively anonymize both direct identifiers, such as Social Security Numbers and credit card information, as well as indirect identifiers, utilizing a combination of fixed algorithms tailored for this purpose. With such versatile capabilities, HushHush not only enhances data security but also fortifies trust with clients regarding their privacy.

The Solix Enterprise Data Management Suite (Solix EDMS) consolidates all necessary tools to implement a successful Information Lifecycle Management (ILM) strategy. Accessible through a single web interface, this platform features top-tier solutions for database archiving, test data management, data masking, and application retirement. Solix EDMS aims to manage expenses, enhance the performance and availability of applications, and fulfill compliance requirements. It provides business users universal access to archived data via full-text searches, structured SQL queries, and various forms and reports. Furthermore, Solix EDMS enables users to swiftly pinpoint rarely accessed historical data from production applications and securely transfer it to an archive while maintaining data integrity and access. The system's retention management feature ensures that archived data remains stored for a specified duration and can be deleted automatically or manually once it complies with the data retention policy. With these capabilities, organizations can streamline their data management processes effectively.

The BiG EVAL platform offers robust software tools essential for ensuring and enhancing data quality throughout the entire information lifecycle. Built on a comprehensive and versatile code base, BiG EVAL's data quality management and testing tools are designed for peak performance and adaptability. Each feature has been developed through practical insights gained from collaborating with our clients. Maintaining high data quality across the full lifecycle is vital for effective data governance and is key to maximizing business value derived from your data. This is where the BiG EVAL DQM automation solution plays a critical role, assisting you with all aspects of data quality management. Continuous quality assessments validate your organization’s data, furnish quality metrics, and aid in addressing any quality challenges. Additionally, BiG EVAL DTA empowers you to automate testing processes within your data-centric projects, streamlining operations and enhancing efficiency. By integrating these tools, organizations can achieve a more reliable data environment that fosters informed decision-making.

Our platform allows businesses to use data, including its application in advanced analysis, machine learning and AI, to do great things without worrying that customers, employees or intellectual property are at risk. The Protegrity Data Protection Platform does more than just protect data. It also classifies and discovers data, while protecting it. It is impossible to protect data you don't already know about. Our platform first categorizes data, allowing users the ability to classify the type of data that is most commonly in the public domain. Once those classifications are established, the platform uses machine learning algorithms to find that type of data. The platform uses classification and discovery to find the data that must be protected. The platform protects data behind many operational systems that are essential to business operations. It also provides privacy options such as tokenizing, encryption, and privacy methods.

Adaptive is a robust data security platform aimed at safeguarding sensitive data from exposure across both human and automated entities. It features a secure control plane that allows for the protection and access of data, utilizing an agentless architecture that does not demand any network reconfiguration, making it suitable for deployment in both cloud environments and on-premises settings. This platform empowers organizations to grant privileged access to their data sources without the need to share actual credentials, thereby significantly bolstering their security stance. Additionally, it supports just-in-time access to an array of data sources such as databases, cloud infrastructure, data warehouses, and web services. Furthermore, Adaptive streamlines non-human data access by linking third-party tools or ETL pipelines through a unified interface, while ensuring data source credentials remain secure. To further reduce the risk of data exposure, the platform incorporates data masking and tokenization techniques for users with non-privileged access, all while maintaining existing access workflows. Moreover, it ensures thorough audibility by providing identity-based audit trails that cover all resources, enhancing accountability and oversight in data management practices. This combination of features positions Adaptive as a leader in the realm of data security solutions.

Syntho is generally implemented within our clients' secure environments to ensure that sensitive information remains within a trusted setting. With our ready-to-use connectors, you can establish connections to both source data and target environments effortlessly. We support integration with all major databases and file systems, offering more than 20 database connectors and over 5 file system connectors. You have the ability to specify your preferred method of data synthetization, whether it involves realistic masking or the generation of new values, along with the automated identification of sensitive data types. Once the data is protected, it can be utilized and shared safely, upholding compliance and privacy standards throughout its lifecycle, thus fostering a secure data handling culture.

Secuvy, a next-generation cloud platform, automates data security, privacy compliance, and governance via AI-driven workflows. Unstructured data is treated with the best data intelligence. Secuvy, a next-generation cloud platform that automates data security, privacy compliance, and governance via AI-driven workflows is called Secuvy. Unstructured data is treated with the best data intelligence. Automated data discovery, customizable subjects access requests, user validations and data maps & workflows to comply with privacy regulations such as the ccpa or gdpr. Data intelligence is used to locate sensitive and private information in multiple data stores, both in motion and at rest. Our mission is to assist organizations in protecting their brand, automating processes, and improving customer trust in a world that is rapidly changing. We want to reduce human effort, costs and errors in handling sensitive data.

Data visibility and control for security, compliance, privacy, and governance. BigID's platform includes a foundational data discovery platform combining data classification and cataloging for finding personal, sensitive and high value data - plus a modular array of add on apps for solving discrete problems in privacy, security and governance. Automate scans, discovery, classification, workflows, and more on the data you need - and find all PI, PII, sensitive, and critical data across unstructured and structured data, on-prem and in the cloud. BigID uses advanced machine learning and data intelligence to help enterprises better manage and protect their customer & sensitive data, meet data privacy and protection regulations, and leverage unmatched coverage for all data across all data stores.

Safeguard your data comprehensively with a robust, enterprise-level security solution that spans multicloud, hybrid, and on-premises environments, accommodating all types of data. Enhance security measures across diverse platforms while seamlessly discovering and categorizing structured, semi-structured, and unstructured data. Assess and prioritize data risks by considering both incident context and the potential for additional capabilities. Streamline data management through a unified service or dashboard that centralizes oversight. Guard against unauthorized data exposure and prevent breaches effectively. Make data-centric security, compliance, and governance processes simpler and more efficient. Create a consolidated perspective to glean insights on vulnerable data and users, while actively managing a Zero Trust framework and enforcing relevant policies. Leverage automation and workflows to save both time and resources, and ensure support for a wide range of file shares and data repositories, including those in public, private, data center, and third-party cloud environments. Address not only your current requirements but also future integrations as you evolve and expand cloud use cases, thereby enhancing your overall data security strategy. By implementing these measures, you can significantly bolster your organization’s resilience against data-related threats.

For more four decades, IRI CoSort has defined the state-of-the-art in big data sorting and transformation technology. From advanced algorithms to automatic memory management, and from multi-core exploitation to I/O optimization, there is no more proven performer for production data processing than CoSort. CoSort was the first commercial sort package developed for open systems: CP/M in 1980, MS-DOS in 1982, Unix in 1985, and Windows in 1995. Repeatedly reported to be the fastest commercial-grade sort product for Unix. CoSort was also judged by PC Week to be the "top performing" sort on Windows. CoSort was released for CP/M in 1978, DOS in 1980, Unix in the mid-eighties, and Windows in the early nineties, and received a readership award from DM Review magazine in 2000. CoSort was first designed as a file sorting utility, and added interfaces to replace or convert sort program parameters used in IBM DataStage, Informatica, MF COBOL, JCL, NATURAL, SAS, and SyncSort. In 1992, CoSort added related manipulation functions through a control language interface based on VMS sort utility syntax, which evolved through the years to handle structured data integration and staging for flat files and RDBs, and multiple spinoff products.

As interactions with customers increasingly transition from physical to digital environments, it becomes necessary to move beyond traditional face-to-face conversations. Instead, customers now convey their preferences and requirements through data. Gaining insights into customer behavior and validating our preconceptions about them also relies heavily on data-driven approaches. However, stringent privacy laws like GDPR and CCPA complicate this deep understanding even further. The MOSTLY AI synthetic data platform effectively addresses this widening gap in customer insights. This reliable and high-quality synthetic data generator supports businesses across a range of applications. Offering privacy-compliant data alternatives is merely the starting point of its capabilities. In terms of adaptability, MOSTLY AI's synthetic data platform outperforms any other synthetic data solution available. The platform's remarkable versatility and extensive use case applicability establish it as an essential AI tool and a transformative resource for software development and testing. Whether for AI training, enhancing explainability, mitigating bias, ensuring governance, or generating realistic test data with subsetting and referential integrity, MOSTLY AI serves a broad spectrum of needs. Ultimately, its comprehensive features empower organizations to navigate the complexities of customer data while maintaining compliance and protecting user privacy.

Thales has revolutionized the landscape of data security with its CipherTrust Data Security Platform, which simplifies data protection, hastens compliance processes, and facilitates safe cloud transitions. This state-of-the-art platform employs a modern micro-services architecture that is optimized for cloud environments and incorporates essential features such as Data Discovery and Classification, seamlessly integrating the most effective functionalities from the Vormetric Data Security Platform along with KeySecure and its associated connector products. By merging data discovery, classification, safeguarding, and advanced access control with centralized key management, the CipherTrust Data Security Platform operates as a cohesive unit. Consequently, organizations experience a decrease in the resources needed for data security tasks, enhanced compliance measures, and a marked reduction in overall business risk. Acting as a comprehensive suite of data-centric security solutions, the CipherTrust Data Security Platform empowers businesses to effectively manage and control their data security needs from a single, unified interface, ensuring robust protection and compliance in a rapidly evolving digital landscape.

Organizations worldwide are facing challenges in managing their data effectively. To ensure you remain competitive, adopt advanced solutions that keep you ahead of the game. Shinydocs streamlines the process of locating, securing, and comprehending your data like never before. We enhance and automate records management tasks, enabling individuals to access necessary information precisely when they need it. Crucially, your workforce will not require extra training or need to alter their established workflows. Our cognitive suite processes your data at extraordinary speeds, offering powerful built-in tools that help clarify your data landscape and provide valuable insights for informed business decisions. Our premier product, Shinydrive, empowers organizations to maximize their ECM investments while unlocking the full value of their managed data. We fulfill the promise of ECM and extend our commitment to outstanding execution into cloud-based Data Management, ensuring your organization can thrive in an increasingly data-driven world. With Shinydocs, you can transform how your organization interacts with data for the better.

In the current landscape, forward-thinking companies are utilizing data to outperform competitors, enhance customer satisfaction, and identify new avenues for growth. However, they also face the complexities posed by industry regulations and strict data privacy laws that put pressure on conventional technologies and workflows. The importance of data quality cannot be overstated, yet it frequently falters before reaching business intelligence and analytics tools. Wiiisdom Ops is designed to help organizations maintain quality assurance within the analytics phase, which is crucial for the final leg of the data journey. Neglecting this aspect could expose your organization to significant risks, leading to poor choices and potential automated failures. Achieving large-scale BI testing is unfeasible without the aid of automation. Wiiisdom Ops seamlessly integrates into your CI/CD pipeline, providing a comprehensive analytics testing loop while reducing expenses. Notably, it does not necessitate engineering expertise for implementation. You can centralize and automate your testing procedures through an intuitive user interface, making it easy to share results across teams, which enhances collaboration and transparency.

Gretel provides privacy engineering solutions through APIs that enable you to synthesize and transform data within minutes. By utilizing these tools, you can foster trust with your users and the broader community. With Gretel's APIs, you can quickly create anonymized or synthetic datasets, allowing you to handle data safely while maintaining privacy. As development speeds increase, the demand for rapid data access becomes essential. Gretel is at the forefront of enhancing data access with privacy-focused tools that eliminate obstacles and support Machine Learning and AI initiatives. You can maintain control over your data by deploying Gretel containers within your own infrastructure or effortlessly scale to the cloud using Gretel Cloud runners in just seconds. Leveraging our cloud GPUs significantly simplifies the process for developers to train and produce synthetic data. Workloads can be scaled automatically without the need for infrastructure setup or management, fostering a more efficient workflow. Additionally, you can invite your team members to collaborate on cloud-based projects and facilitate data sharing across different teams, further enhancing productivity and innovation.

The Collibra Data Intelligence Cloud serves as your comprehensive platform for engaging with data, featuring an exceptional catalog, adaptable governance, ongoing quality assurance, and integrated privacy measures. Empower your teams with a premier data catalog that seamlessly merges governance, privacy, and quality controls. Elevate efficiency by enabling teams to swiftly discover, comprehend, and access data from various sources, business applications, BI, and data science tools all within a unified hub. Protect your data's privacy by centralizing, automating, and streamlining workflows that foster collaboration, implement privacy measures, and comply with international regulations. Explore the complete narrative of your data with Collibra Data Lineage, which automatically delineates the connections between systems, applications, and reports, providing a contextually rich perspective throughout the organization. Focus on the most critical data while maintaining confidence in its relevance, completeness, and reliability, ensuring that your organization thrives in a data-driven world. By leveraging these capabilities, you can transform your data management practices and drive better decision-making across the board.

You have complete authority over the encryption of your information at all times, ensuring there are no hidden backdoors. One solution encompasses all systems. With the innovative template concept, the eperi® Gateway can be customized for all your cloud applications, aligning perfectly with your data protection needs. Your team can maintain their usual workflow as the eperi® Gateway seamlessly encrypts data, allowing essential application functionalities like searching and sorting to remain intact. This allows you to leverage the benefits of cloud applications while adhering to rigorous financial industry regulations, including privacy-preserving analytics. The rise of IoT introduces intelligent machines and products that autonomously gather data. With encryption, you can not only secure data privacy but also meet compliance standards effectively. By integrating such robust encryption measures, you can confidently navigate the complexities of data management in today’s digital landscape.

The Mage™ Dynamic Data Masking module, part of the Mage data security platform, has been thoughtfully crafted with a focus on the needs of end customers. Developed in collaboration with clients, Mage™ Dynamic Data Masking effectively addresses their unique requirements and challenges. Consequently, this solution has advanced to accommodate virtually every potential use case that enterprises might encounter. Unlike many competing products that often stem from acquisitions or cater to niche scenarios, Mage™ Dynamic Data Masking is designed to provide comprehensive protection for sensitive data accessed by application and database users in production environments. Additionally, it integrates effortlessly into an organization’s existing IT infrastructure, eliminating the need for any substantial architectural modifications, thus ensuring a smoother transition for businesses implementing this solution. This strategic approach reflects a commitment to enhancing data security while prioritizing user experience and operational efficiency.

Privacy1 infrastructure brings transparency, safeguards GDPR | CCPA compliance, builds trust for your business. The solution shields your data centric organizations, lower data leak risks, ensures that no personal data is processed except with the right permission. The service has built in rich features you need to meet data compliance requirements and enforce your organizational data security to the highest level

To protect sensitive information, including personally identifiable information (PII), organizations must implement techniques such as pseudonymization and anonymization for secondary purposes like comparative effectiveness studies, policy evaluations, and research in life sciences. This process is essential as businesses amass vast quantities of data to detect patterns, understand customer behavior, and foster innovation. Compliance with regulations like HIPAA and GDPR mandates the de-identification of data; however, the difficulty lies in the fact that many de-identification tools prioritize the removal of personal identifiers, often complicating subsequent data usage. By transforming PII into forms that cannot be traced back to individuals, employing data anonymization and pseudonymization strategies becomes crucial for maintaining privacy while enabling robust analysis. Effectively utilizing these methods allows for the examination of extensive datasets without infringing on privacy laws, ensuring that insights can be gathered responsibly. Selecting appropriate de-identification techniques and privacy models from a wide range of data security and statistical practices is key to achieving effective data usage.

Sixpack is an innovative data management solution designed to enhance the creation of synthetic data specifically for testing scenarios. In contrast to conventional methods of test data generation, Sixpack delivers a virtually limitless supply of synthetic data, which aids testers and automated systems in sidestepping conflicts and avoiding resource constraints. It emphasizes adaptability by allowing for allocation, pooling, and immediate data generation while ensuring high standards of data quality and maintaining privacy safeguards. Among its standout features are straightforward setup procedures, effortless API integration, and robust support for intricate testing environments. By seamlessly fitting into quality assurance workflows, Sixpack helps teams save valuable time by reducing the management burden of data dependencies, minimizing data redundancy, and averting test disruptions. Additionally, its user-friendly dashboard provides an organized overview of current data sets, enabling testers to efficiently allocate or pool data tailored to the specific demands of their projects, thereby optimizing the testing process further.

Uncover, record, and oversee your metadata effectively. Dataedo features a range of automated metadata scanners designed to interface with different database technologies, where they extract data structures and metadata to populate your metadata repository. With just a few clicks, you can create a comprehensive catalog of your data while detailing each component. Clarify table and column names with user-friendly aliases, and enrich your understanding of data assets by adding descriptions and custom fields defined by users. Leverage sample data to gain insights into the contents of your data assets, allowing you to grasp the information better prior to utilization and ensuring its quality. Maintain high data standards through data profiling techniques. Facilitate widespread access to data knowledge across your organization. Enhance data literacy, democratize data access, and empower all members of your organization to leverage data more effectively with a simple on-premises data catalog solution. Strengthening data literacy through a well-structured data catalog will ultimately lead to improved decision-making processes.

Your IT department can implement advanced data masking techniques to restrict access to sensitive information, utilizing adaptable masking rules that correspond to the authentication levels of users. By incorporating mechanisms for blocking, auditing, and notifying users, IT staff, and external teams who interact with confidential data, the organization can maintain adherence to its security protocols as well as comply with relevant industry and legal privacy standards. Additionally, you can tailor data-masking strategies to meet varying regulatory or business needs, fostering a secure environment for personal and sensitive information. This approach not only safeguards data but also facilitates offshoring, outsourcing, and cloud-based projects. Furthermore, large datasets can be secured by applying dynamic masking to sensitive information within Hadoop environments, enhancing overall data protection. Such measures bolster the integrity of the organization's data security framework.

Maintain the essence, structure, and accuracy while ensuring confidentiality. Improve data security by anonymizing and altering sensitive information, as well as implementing pseudonymization strategies for adherence to privacy regulations and analytics purposes. The obscured data continues to hold its context and referential integrity, making it suitable for use in testing, analytics, or support scenarios. Serving as an exceptionally scalable and high-performing data masking solution, Informatica Persistent Data Masking protects sensitive information—like credit card details, addresses, and phone numbers—from accidental exposure by generating realistic, anonymized data that can be safely shared both internally and externally. Additionally, this solution minimizes the chances of data breaches in nonproduction settings, enhances the quality of test data, accelerates development processes, and guarantees compliance with various data-privacy laws and guidelines. Ultimately, adopting such robust data masking techniques not only protects sensitive information but also fosters trust and security within organizations.

Streamlining privacy through automated secure redaction for document sharing is the cornerstone of Rectify's approach. By utilizing privacy-centric artificial intelligence, Rectify efficiently eliminates sensitive information during the data sharing process. This innovation significantly reduces the need for human intervention in identifying and expunging consumer identities, trade secrets, intellectual property, and other confidential data from datasets destined for third-party distribution. Our team has safeguarded tens of millions of pages, and the number continues to rise. With our advanced "privacy-enabled AI" for deidentification, organizations can move away from tedious manual redaction processes. The risks associated with disclosing sensitive information without a reliable redaction tool can be severe, making it imperative to choose an effective redaction service. Rectify offers a comprehensive solution tailored to your redaction requirements, ensuring your business's security and privacy are maintained at all times. By opting for Rectify's secure redaction, you can automate privacy protection and foster confidence in your data handling practices.

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.

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.

DQOps is a data quality monitoring platform for data teams that helps detect and address quality issues before they impact your business. Track data quality KPIs on data quality dashboards and reach a 100% data quality score. DQOps helps monitor data warehouses and data lakes on the most popular data platforms. DQOps offers a built-in list of predefined data quality checks verifying key data quality dimensions. The extensibility of the platform allows you to modify existing checks or add custom, business-specific checks as needed. The DQOps platform easily integrates with DevOps environments and allows data quality definitions to be stored in a source repository along with the data pipeline code.

Explore the exceptional features offered by Global IDs, which provide a comprehensive range of Enterprise Data Solutions including data governance, compliance, cloud migration, rationalization, privacy, analytics, and more. The Global IDs EDA Platform includes essential functionalities such as automated discovery and profiling, data classification, data lineage, and data quality, all aimed at ensuring that data is transparent, reliable, and understandable throughout the ecosystem. Additionally, the architecture of the Global IDs EDA platform is built for seamless integration, enabling access to all its functionalities through APIs. This platform effectively automates data management for organizations of varying sizes and diverse data environments. By utilizing Global IDs EDA, businesses can significantly enhance their data management practices and drive better decision-making.

BizDataX offers a data masking solution that delivers test data with the quality comparable to that of production environments. It ensures adherence to GDPR and various other regulations by concealing customer identities while supplying data for developers and testers. Utilizing masked or anonymized data rather than actual production data significantly mitigates associated risks. The focus is placed on managing policies, fulfilling business requirements, governing sensitive data, and adhering to diverse regulations. It also facilitates the monitoring of databases, data sources, and tables to identify the locations of sensitive information. Furthermore, it allows for the management of extensive customer databases and the seamless exchange of data with online partner retailers and delivery services. Given the stringent regulations surrounding medical records, compliance can be effectively maintained through the process of data anonymization, ensuring that patient information is protected. This capability not only safeguards sensitive data but also enhances the overall data management strategy for organizations.

Locate, construct, oversee, and distribute test data to all members of your team with Test Data Manager, which aids in tackling data privacy and compliance challenges linked to regulatory requirements and company policies. The TDM Discovery and Profiling tool enables the detection of personally identifiable information (PII) from various data sources, while a heat map categorizes this information based on its level of severity. Furthermore, test data engineers and compliance specialists can evaluate and label the data for appropriate action. Detailed reports can be produced in PDF format, providing evidence of compliance for stakeholders. This comprehensive approach not only enhances data management but also instills confidence in compliance efforts across the organization. By utilizing Test Data Manager, teams can ensure they remain vigilant and proactive regarding data privacy concerns.

Privacy Hub, our Data Privacy Management Software, offers the adaptability needed to fulfill your business requirements while enhancing efficiencies to boost your return on investment and providing the transparency that keeps board members satisfied. We provide a comprehensive array of Data Privacy Management solutions designed to assist you in navigating your compliance journey. As your organization progresses in its privacy management efforts, we are here to support you every step of the way. The emergence of global privacy regulations, such as GDPR and CCPA, has prompted companies to rethink their approach to managing data privacy. Privacy Hub by Wrangu is an effective and user-friendly solution that addresses these challenges on a large scale, enabling businesses to streamline their privacy program management within a unified platform. Our software not only automates but also integrates the various activities of different teams, producing a coherent result that guarantees ongoing compliance and fosters a culture of data privacy awareness throughout the organization. Ultimately, implementing Privacy Hub can empower your team to proactively manage data privacy while staying ahead of regulatory requirements.

It can quickly generate data based on table names, column specifications, field sizes, data types, and other predefined constraints. These generators can easily be tailored to suit your specific needs. You can produce substantial amounts of data within just a few clicks in SQL Server Management Studio. The system allows for column-aware data generation, enabling the creation of data in one column that depends on the values in another. Users benefit from enhanced flexibility and manual oversight when crafting foreign key data. Custom generators that can be shared with your team are also available, allowing you to save regular expressions and SQL statement generators for collaborative use. Furthermore, you can write your own generators in Python, giving you the ability to create any additional data required. With seeded random data generation, you can ensure that the same dataset is produced consistently each time. Moreover, foreign key support helps maintain data consistency across various tables, making the process even more efficient and reliable. This versatility in data generation significantly streamlines workflows and enhances productivity for database management tasks.