Alternatives to Octopos

Provide employees with the necessary applications and services while safeguarding data and processes from unauthorized access. Simplify the management and validation of user access through governance tools that automate user provisioning and ensure compliance with access certification for on-premise applications and data. By integrating preventive policy checks and monitoring emergency access, governance can be effectively enforced. Automatically detect and address access risk violations within SAP and external systems, while embedding compliance checks and essential risk mitigation into operational workflows. Facilitate user-initiated, workflow-oriented access requests and approvals, ensuring transparency and efficiency in the process. Accurately identify and resolve issues related to segregation of duties and critical access by incorporating integrated risk analysis. Streamline user access assignments across SAP and third-party systems automatically, while defining and maintaining compliance roles in clear, business-friendly terminology to enhance understanding and adherence. This comprehensive approach not only mitigates risks but also fosters a secure and efficient operational environment.

The Alation Agentic Data Intelligence Platform is designed to transform how enterprises manage, govern, and use data for AI and analytics. It combines search, cataloging, governance, lineage, and analytics into one unified solution, turning metadata into actionable insights. AI-powered agents automate critical tasks like documentation, data quality monitoring, and product creation, freeing teams from repetitive manual work. Its Active Metadata Graph and workflow automation capabilities ensure that data remains accurate, consistent, and trustworthy across systems. With 120+ pre-built connectors, including integrations with AWS, Snowflake, Salesforce, and Databricks, Alation integrates seamlessly into enterprise ecosystems. The platform enables organizations to govern AI responsibly, ensuring compliance, transparency, and ethical use of data. Enterprises benefit from improved self-service analytics, faster data-driven decisions, and a stronger data culture. With industry leaders like Salesforce and 40% of the Fortune 100 relying on it, Alation is proven to help businesses unlock the value of their data.

The Actian Data Intelligence Platform is a cloud-native, AI-ready solution aimed at revolutionizing the way organizations discover, comprehend, manage, and trust their data in intricate environments. By consolidating features such as data cataloging, metadata oversight, governance, lineage tracking, observability, and semantic context into a cohesive platform, it establishes a centralized and reliable layer for enterprise data management. Leveraging a federated knowledge graph, the platform fosters intelligent connections between data assets, which allows it to inherently grasp context, yield pertinent search outcomes, and suggest optimal data utilization. This innovative strategy empowers both technical and business users to efficiently locate and utilize trustworthy data, thereby enhancing decision-making processes and boosting operational efficiency. Additionally, the platform performs continuous monitoring of data integrity, enforces governance protocols, and produces automated trust indicators, ensuring that data remains accurate, compliant, and primed for analytics along with AI applications. As a result, organizations can confidently navigate their data landscapes and harness the full potential of their information assets.

Microsoft Purview serves as a comprehensive data governance platform that facilitates the management and oversight of your data across on-premises, multicloud, and software-as-a-service (SaaS) environments. With its capabilities in automated data discovery, sensitive data classification, and complete data lineage tracking, you can effortlessly develop a thorough and current representation of your data ecosystem. This empowers data users to access reliable and valuable data easily. The service provides automated identification of data lineage and classification across various sources, ensuring a cohesive view of your data assets and their interconnections for enhanced governance. Through semantic search, users can discover data using both business and technical terminology, providing insights into the location and flow of sensitive information within a hybrid data environment. By leveraging the Purview Data Map, you can lay the groundwork for effective data utilization and governance, while also automating and managing metadata from diverse sources. Additionally, it supports the classification of data using both predefined and custom classifiers, along with Microsoft Information Protection sensitivity labels, ensuring that your data governance framework is robust and adaptable. This combination of features positions Microsoft Purview as an essential tool for organizations seeking to optimize their data management strategies.

Quest's erwin Data Catalog is a powerful tool for metadata management that assists organizations in understanding their data assets and their locations, encompassing both static and dynamic data. It provides insights into the available data and metadata related to specific topics, enabling users to swiftly locate relevant sources and resources for analysis and informed decision-making. By automating the tasks associated with harvesting, integrating, activating, and governing enterprise data in line with business needs, erwin Data Catalog enhances accuracy and accelerates the value derived from data governance initiatives and digital transformation projects, such as those involving data warehouses, data lakes, data vaults, and cloud migrations. Effective management of metadata is crucial for sustainable data governance and is essential for any organizational endeavor reliant on data for successful outcomes. The erwin Data Catalog streamlines various functions including enterprise metadata management, data mapping, cataloging, code generation, data profiling, and tracking data lineage, ultimately improving overall data management efficiency. As a result, organizations can better harness their data for strategic advantage and operational excellence.

SAP Information Steward software facilitates data profiling, monitoring, and the management of information policies. Acting as the information governance component of the SAP Business Technology Platform, it enables organizations to foresee risks and enhance business results. By integrating data profiling, data lineage, and metadata management, users can achieve ongoing visibility into the reliability of their enterprise data framework. This allows for a deeper comprehension of data quality throughout the data management ecosystem, while providing access to analytical metrics through user-friendly dashboards and scorecards. To advance enterprise information management efforts, it offers unwavering validation rules and guidelines to support analysts, data stewards, and IT professionals alike. With the ability to discover, evaluate, define, oversee, and enhance the quality of your enterprise data assets through data profiling and metadata management, all functions are available in a single solution. Moreover, organizations can simulate potential cost reductions stemming from enhanced data quality by conducting what-if analyses, thus paving the way for informed decision-making. Ultimately, this software not only streamlines processes but also reinforces the significance of maintaining high-quality data.

Mesh Security represents an advanced cybersecurity solution grounded in Cybersecurity Mesh Architecture (CSMA), designed to consolidate fragmented security data, tools, and infrastructure into a cohesive, real-time adaptive defense system that aids organizations in the ongoing assessment, prioritization, and reduction of risks across various domains, including identities, endpoints, data, cloud, SaaS, CI/CD, and networks. This platform offers comprehensive posture management that persistently detects and contextualizes significant risks and vulnerabilities throughout the enterprise, converts diverse security signals into a dynamic asset graph for enhanced visibility, and facilitates cross-domain threat detection along with automated responses through AI-enhanced anomaly detection and pre-configured detection rules. Additionally, Mesh Security seamlessly integrates with existing security frameworks in just minutes, streamlining remediation processes and minimizing the attack surface without necessitating new infrastructure investments, while also centralizing policy management, playbook execution, and compliance enforcement in hybrid environments. By providing these capabilities, Mesh Security empowers organizations to maintain robust security postures in an increasingly complex threat landscape.

IBM InfoSphere® Information Governance Catalog is an online platform designed to help users investigate, comprehend, and evaluate their data. It facilitates the creation and management of a shared business lexicon, enables the documentation and implementation of policies and rules, and allows for the monitoring of data lineage. By integrating with IBM Watson® Knowledge Catalog, users can utilize existing curated datasets and enhance their on-premises Information Governance Catalog investment by extending it to the cloud. This knowledge catalog empowers data professionals by providing easy access to valuable metadata, ensuring that data science and analytics teams can find the optimal resources for their needs while maintaining alignment with enterprise governance standards. It establishes a unified business language and terminology that fosters a more profound understanding of all data assets, whether they are structured, semi-structured, or unstructured. Additionally, it records governance policies and implements rules, guiding how information should be organized, stored, transformed, and transferred, thus promoting efficiency and compliance within an organization. Overall, the platform not only supports effective data management but also enhances collaboration among teams by ensuring that everyone has access to the same foundational data understanding.

Enable data for AI and analytics in a business-friendly manner through smart cataloging, supported by proactive metadata and policy governance. The IBM Watson® Knowledge Catalog serves as a powerful tool for discovering data, models, and more, enhancing the self-service exploration experience. Acting as a cloud-based repository for enterprise metadata, it facilitates the activation of information for AI, machine learning (ML), and deep learning applications. Users can access, curate, categorize, and share data and knowledge assets along with their interconnections, regardless of their location. By organizing, defining, and managing enterprise data effectively, organizations can ensure they have the appropriate context to generate value for various needs, including regulatory compliance and data monetization efforts. Furthermore, it safeguards data integrity, oversees compliance and audit readiness, and fosters client trust through active policy management and the dynamic masking of sensitive information. With user-friendly dashboards and workflows that can be easily shared with colleagues or integrated with analytical tools, businesses can consume and transform data efficiently to keep pace with their operational demands. By leveraging these capabilities, organizations can enhance their decision-making processes and drive innovation across their operations.

Collate is a metadata platform powered by AI that equips data teams with automated tools for discovery, observability, quality, and governance, utilizing agent-based workflows for efficiency. It is constructed on the foundation of OpenMetadata and features a cohesive metadata graph, providing over 90 seamless connectors for gathering metadata from various sources like databases, data warehouses, BI tools, and data pipelines. This platform not only offers detailed column-level lineage and data profiling but also implements no-code quality tests to ensure data integrity. The AI agents play a crucial role in streamlining processes such as data discovery, permission-sensitive querying, alert notifications, and incident management workflows on a large scale. Furthermore, the platform includes real-time dashboards, interactive analyses, and a shared business glossary that cater to both technical and non-technical users, facilitating the management of high-quality data assets. Additionally, its continuous monitoring and governance automation help uphold compliance with regulations such as GDPR and CCPA, which significantly minimizes the time taken to resolve data-related issues and reduces the overall cost of ownership. This comprehensive approach to data management not only enhances operational efficiency but also fosters a culture of data stewardship across the organization.

Knowledge Catalog is a modern, AI-powered data catalog developed by Google Cloud to provide comprehensive governance and context for enterprise data. It works by automatically extracting meaning from structured and unstructured data, building a dynamic context graph that connects data assets. This allows organizations to discover, understand, and manage their data more effectively. The platform plays a critical role in improving AI accuracy by grounding models in reliable enterprise data, reducing hallucinations. It offers features such as data lineage tracking, data profiling, and quality measurement to ensure data reliability. Users can also create business glossaries and capture metadata to enhance data organization and accessibility. Knowledge Catalog supports integration with custom data sources and Google Cloud services, making it highly flexible. It enables both traditional analytics and advanced AI applications, including agent-based workflows. The platform also provides powerful search capabilities for locating data resources quickly. By centralizing data context and governance, it reduces operational complexity for data teams. Overall, Knowledge Catalog empowers organizations to build trusted, well-governed data environments.

Oracle Enterprise Metadata Management (OEMM) serves as a robust platform for managing metadata. It is capable of harvesting and cataloging metadata from a wide array of sources, such as relational databases, Hadoop, ETL processes, business intelligence systems, and data modeling tools, among others. Beyond merely acting as a repository for metadata, OEMM facilitates interactive searching and browsing of the data, while also offering features like data lineage tracking, impact analysis, and both semantic definition and usage analysis for any asset in its catalog. With its sophisticated algorithms, OEMM integrates metadata from various providers, creating a comprehensive view of the data journey from its origin to its final report or back. The platform's compatibility extends to numerous metadata sources, including data modeling tools, databases, CASE tools, ETL engines, data warehouses, BI systems, and EAI environments, among many others. This versatility ensures that organizations can effectively manage and utilize their metadata across diverse environments.

Amazon DataZone serves as a comprehensive data management solution that empowers users to catalog, explore, share, and regulate data from various sources, including AWS, on-premises systems, and third-party platforms. It provides administrators and data stewards with the ability to manage and oversee data access with precision, guaranteeing that users possess the correct level of permissions and contextual understanding. This service streamlines data access for a diverse range of professionals, such as engineers, data scientists, product managers, analysts, and business users, thereby promoting insights driven by data through enhanced collaboration. Among its notable features are a business data catalog that enables searching and requesting access to published datasets, tools for project collaboration to oversee and manage data assets, a user-friendly web portal offering tailored views for data analysis, and regulated data sharing workflows that ensure proper access. Furthermore, Amazon DataZone leverages machine learning to automate the processes of data discovery and cataloging, making it an invaluable resource for organizations striving to maximize their data utility. As a result, it significantly enhances the efficiency of data governance and utilization across various business functions.

Dawiso is a comprehensive platform designed to simplify data management by integrating governance with usability for the entire organization. Central to Dawiso is its AI-powered data catalog, which empowers teams to quickly discover and understand trusted data across various systems, reports, and business applications. The platform’s flexible governance capabilities, alongside intuitive documentation apps, make it easy for both technical and non-technical users to collaborate effectively. Dawiso increases confidence in data through visual data lineage that clearly maps connections and dependencies across sources and systems. It supports regulatory compliance with customizable workflows, role-based access controls, and detailed metadata capture. By providing business-friendly tools and structured governance, Dawiso bridges communication gaps and streamlines data-driven decision-making. The platform promotes transparency, security, and usability in data management. Overall, Dawiso is built to enhance collaboration and trust in organizational data assets.

Blindata encompasses all the essential components of a comprehensive Data Governance program. Its features, including the Business Glossary, Data Catalog, and Data Lineage, work together to provide a cohesive and thorough perspective on your data. The Data Classification module assigns semantic significance to the data, while the Data Quality, Issue Management, and Data Stewardship modules enhance data reliability and foster trust. Additionally, specific functionalities for privacy compliance are available, such as a registry for processing activities, centralized management of privacy notes, and a consent registry that incorporates Blockchain for notarization. The Blindata Agent facilitates connections to various data sources, enabling the collection of metadata, including data structures like Tables, Views, and Fields, as well as data quality metrics and reverse lineage. With a modular design and fully API-driven architecture, Blindata supports seamless integration with vital business systems, including DBMS, Active Directory, e-commerce platforms, and various Data Platforms. This versatile solution can be deployed as a Software as a Service (SaaS), installed on-premises, or acquired through the AWS Marketplace, making it accessible for a wide range of organizational needs. Its flexibility ensures that businesses can tailor their Data Governance approach to meet specific requirements effectively.

Fasoo Data Radar (FDR) is a powerful data discovery and classification solution that enables organizations to locate, analyze, and manage sensitive unstructured data across on-premise servers, cloud storage, and endpoints. By scanning files based on keywords, regex patterns, file formats, and predefined policies, FDR helps organizations maintain control over critical information. With real-time monitoring and centralized policy enforcement, it enhances data security by identifying risks, preventing unauthorized access, and ensuring compliance with regulations like GDPR, HIPAA, and CCPA. FDR seamlessly integrates with enterprise security frameworks, allowing organizations to enforce consistent data protection policies while streamlining operational workflows. By automating data classification and governance, it improves efficiency, strengthens data security, and enhances visibility for regulatory compliance and risk management.

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.

Enterprise File Fabric™, a private, secure, policy driven multi-cloud content and collaboration platform, provides an efficient, secure, and private solution for storing, sharing, and collaborating with other users. It doesn't ship with storage. It works with any company's existing storage portfolio, on-cloud or off-premises. Enterprise File Fabric™, unifies, secures, and makes all types of storage (including object storage), easily accessible for end-users. The Enterprise File Fabric for Compliance is available in three product variations: 1. It enforces GDPR/CCPA/ HIPAA by providing intelligent policy-based enforcement across all corporate data. 2. The Enterprise File Fabric for Media and Entertainment provides a unified view to media assets that can both be distributed on-cloud and on premises.

PK Protect is an innovative data protection platform aimed at assisting organizations in securing their sensitive information across a wide range of environments. It offers powerful tools for data discovery, classification, encryption, and monitoring, ensuring that vital data remains secure whether it is stored or transmitted. Through the implementation of automated policies and compliance measures, PK Protect supports businesses in adhering to regulatory standards such as GDPR and HIPAA, thereby lowering the chances of data breaches. The platform seamlessly integrates with various systems, providing a cohesive strategy for managing data security in cloud, on-premises, and hybrid settings. By delivering real-time insights and proactive threat detection capabilities, PK Protect empowers organizations to maintain authority over their sensitive data, effectively mitigating security risks. This comprehensive approach not only enhances data protection but also fosters trust among clients and stakeholders.

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.

A metadata management and data lineage platform for hybrid enterprises whose data spans mainframe, distributed, and cloud. It automatically discovers datasets, pipelines, dependencies, and transformations, then provides end-to-end lineage and impact analysis so teams can trace a KPI to its source, predict what will break before changing a job/table, and prove where sensitive fields (PII) flowed. Key capabilities: • Automated metadata collection across heterogeneous platforms. • Lineage mapping from source through ETL/ELT, warehouse/lakehouse, and BI. • Impact analysis and change visibility. • Field/column-level tracing (where supported) for audits, root-cause analysis, and compliance. • Glossary/tagging to connect technical assets to business definitions and ownership. Outcome: fewer production surprises, faster modernization, and more trusted analytics/AI backed by audit-ready evidence. Partner with us to unlock actionable insights and modernize your data strategy today.

Erwin Data Intelligence (erwin DI) integrates data cataloging and data literacy functions to enhance awareness and accessibility of data assets while providing guidance for their usage and establishing safeguards to uphold data policies and best practices. It automatically gathers, transforms, and compiles metadata from a diverse range of data sources, business applications, operational processes, and data models into a centralized catalog. This catalog is then rendered accessible and comprehensible through role-specific, contextual views, empowering stakeholders to make informed strategic decisions based on reliable insights. Furthermore, erwin DI promotes enterprise data governance and supports digital transformation initiatives, alongside any endeavors that depend on data for successful results. It allows for the scheduling of regular metadata scans from a wide variety of data sources, simplifying the mapping of data elements from their origin to their destination, including data in transit, while facilitating seamless data integration across different platforms. In addition, it enables data consumers to identify and explore data that is pertinent to their specific roles, thereby enhancing overall data engagement within the organization. Ultimately, erwin DI serves as a powerful tool for maximizing the value derived from data assets.

Arctera Insight Archiving is a cloud-centric platform tailored for enterprise data archiving and retention, aimed at assisting organizations in effectively managing and securing their data across multiple communication avenues. It allows for the collection and safeguarding of over 120 different types of content, such as emails, instant messages, collaboration platforms, and social media interactions, thereby ensuring adherence to legal standards like GDPR, HIPAA, and CCPA. With its AI-enhanced features for data categorization, retention policy oversight, and eDiscovery, it empowers legal and compliance teams to swiftly locate and evaluate pertinent information. Arctera Insight Archiving presents versatile deployment alternatives, such as on-premises and cloud-based setups, to address specific data sovereignty and security requirements. Additionally, it integrates seamlessly with platforms like Microsoft 365 and Google Workspace, as well as traditional on-premises systems, promoting comprehensive data management across varied IT environments. This flexibility not only enhances operational efficiency but also supports organizations in maintaining robust data governance practices.

To have complete control over your data, harness the power of data discovery, data lineage and a data catalogue. It can quickly navigate through complex data landscapes. Access the most comprehensive automated data lineage and discovery system. This gives you unprecedented visibility and trust in the most complex data environments. Octopai extracts metadata from all data environments. Octopai can instantly analyze metadata in a fast, secure, and easy process. Octopai gives you access to data lineage, data discovery, and a data catalogue, all from one central platform. In seconds, trace any data from end to end through your entire data landscape. Find the data you need automatically from any place in your data landscape. A self-creating, self updating data catalog will help you create consistency across your company.

ETL Solutions presents DataHub, a robust platform for data integration, orchestration, and management tailored for enterprises, enabling organizations to unify, harmonize, and effectively utilize data from a variety of sources within a well-governed and accessible environment. This platform facilitates the effortless ingestion and transformation of both structured and unstructured data through a suite of pre-built connectors and mappings, along with automated workflows, change data capture, and real-time data pipelines that cater to analytics, reporting, and AI/ML initiatives. Designed to function seamlessly in hybrid and multi-cloud settings, DataHub consolidates metadata and business logic while ensuring rigorous data governance, lineage tracking, and quality control, allowing stakeholders to confidently leverage enterprise data. Furthermore, its sophisticated orchestration engine adeptly manages intricate dependencies and scheduling, guaranteeing timely data delivery and consistency across diverse systems, thereby enhancing overall operational efficiency. With its comprehensive features, DataHub empowers organizations to transform their data into actionable insights.

The Alex Platform serves as the definitive source of data and business accuracy for your organization. It is a crucial element that underpins our clients' success in utilizing data effectively. From the very first day of its deployment, Alex is engineered to simplify operations and deliver value right from the start. The Alex Augmented Data Catalog harnesses top-tier machine learning technology, swiftly creating a cohesive data environment across the entire enterprise. Regardless of the intricacies of your technical framework, Alex Data Lineage enables you to effortlessly track and comprehend your data movements in a secure and automated manner. In an increasingly interconnected world, global teams require seamless coordination. The Alex Intelligent Business Glossary boasts an attractive user interface and comprehensive features, making it ideal for fostering international collaboration. By consolidating all definitions, policies, metrics, rules, and workflows, you can effectively tackle the challenges posed by multi-cloud environments and global enterprises. This approach empowers robust data governance initiatives, ensuring that all aspects of data management are consistently aligned across the organization. Ultimately, Alex not only streamlines operations but also enhances the overall strategic decision-making process.

Efficiently scan and catalog metadata, uncover and characterize data, while offering comprehensive lineage tracking over millions of datasets. Organize and classify data assets across diverse environments to enhance their value and facilitate reuse. Perform automated scanning across multi-cloud environments, business intelligence tools, ETL processes, and external metadata catalogs, along with various data types. Utilize AI-driven capabilities for domain discovery, data similarity assessment, business term linkages, and tailored recommendations. Monitor data movement with precision, ranging from overarching system perspectives to detailed column-level lineage, accompanied by thorough impact assessments. Access the Data Asset Analytics dashboard to gain insights into asset utilization, enrichment processes, and collaborative efforts. Examine data quality protocols, scorecards, metric clusters, and profiling statistics within their relevant contexts. Engage with shared data intelligence through certifications, ratings and feedback, a Q&A feature, and timely change alerts. What truly distinguishes Informatica is its extensive and robust suite of enterprise-grade data management solutions, ensuring comprehensive support for diverse data needs. With such capabilities, organizations can navigate their data landscapes more effectively and make informed decisions.

The primary obstacle in expanding AI-driven decision-making lies in the underutilization of data. IBM Cloud Pak® for Data provides a cohesive platform that integrates a data fabric, enabling seamless connection and access to isolated data, whether it resides on-premises or in various cloud environments, without necessitating data relocation. It streamlines data accessibility by automatically identifying and organizing data to present actionable knowledge assets to users, while simultaneously implementing automated policy enforcement to ensure secure usage. To further enhance the speed of insights, this platform incorporates a modern cloud data warehouse that works in harmony with existing systems. It universally enforces data privacy and usage policies across all datasets, ensuring compliance is maintained. By leveraging a high-performance cloud data warehouse, organizations can obtain insights more rapidly. Additionally, the platform empowers data scientists, developers, and analysts with a comprehensive interface to construct, deploy, and manage reliable AI models across any cloud infrastructure. Moreover, enhance your analytics capabilities with Netezza, a robust data warehouse designed for high performance and efficiency. This comprehensive approach not only accelerates decision-making but also fosters innovation across various sectors.

This is the essential tool for metadata management. In just 5 minutes, automatically populate your entire catalogue! Data Discovery. Data Discovery. Find the data you need from any part of your data ecosystem, starting with the database and ending with the specific values for each field. Automated documentation of your data from existing data storage. First-class support for unstructured and tabular data. Automated data governance actions. Data Lineage. Data Lineage. Explore your data lineage to understand where your data is coming from and where it is headed. View the impact analysis of changes. See all up- and downstream impacts. Visualize connections and relationships. API AccessNew. Tree Schema API allows you to manage your data lineage in code and keep your catalog current. Integrate Data Lineage in CICD pipelines Capture values & description within your code Analyze the impact of breaking changes. Data Dictionary. Know the key terms and lingo which drive your business. Define the context and scope of keywords

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.

Cloudentity enhances the speed of development, improves audit processes, and reduces risks through advanced management of fine-grained authorization policies, ensuring ongoing enforcement at the transaction level across various environments like hybrid and multi-cloud, as well as microservices. By externalizing the management of authorization, developers are empowered to efficiently generate policy-as-code, set up standardized controls, and enforce contextual access and data exchange as close to the service as feasible. This not only accelerates application delivery but also speeds up security validation by providing comprehensive data lineage for auditing, forensic investigations, and regulatory compliance. Additionally, Cloudentity offers dynamic governance for authorization that automates policy management and adapts controls to maintain a Zero Trust framework among users, applications, services, and data. The platform also automates the inventory of applications, services, and APIs while standardizing authorization policies and facilitating declarative authorization provisioning, thus optimizing the security verification process during releases. Moreover, this proactive approach to security and compliance ensures that organizations can efficiently navigate complex regulatory landscapes while maintaining operational agility.

Preservica is an innovative digital preservation software platform that leverages Active Digital Preservation™ technology to ensure that digital files remain accessible, reliable, and usable for many years by transforming them into formats suitable for the future while safeguarding their integrity and authenticity through the use of checksums and comprehensive contextual metadata. The platform offers secure, scalable, and cloud-based storage solutions along with features that facilitate straightforward upload and preservation, extensive metadata management, advanced search capabilities, AI-enhanced archiving tools, integration with catalogs, and robust admin/security controls, while also allowing for the incorporation of preservation processes into Microsoft 365 workflows through its Preserve365® feature. Aimed at mitigating the risks of file unreadability, data loss, and compliance issues, the software accommodates the upload of large and diverse content from various sources, providing immediate access for compliance, cultural, or business-related purposes, and aids in establishing provenance and trustworthiness. Additionally, its user-friendly interface and comprehensive features make it a valuable asset for organizations seeking to safeguard their digital heritage.

Manta is a sophisticated automated platform designed for data lineage that assists organizations in documenting, monitoring, visualizing, and enhancing the journey of data from its source through various transformations to its ultimate use across the entire data ecosystem. By automatically scanning metadata, SQL scripts, ETL processes, BI/report definitions, and a wide array of data sources, it supports numerous technologies to create comprehensive end-to-end lineage maps that illustrate the origins of data, the transformations it undergoes, and its final applications. This functionality empowers users to perform precise impact analyses, trace root causes, and identify errors with ease. Additionally, Manta offers rich visualizations complemented by dynamic filtering and provides detailed lineage insights at both table and column levels, alongside APIs for seamless integration with metadata catalogs, CI/CD workflows, and governance frameworks. As a result, it significantly minimizes manual workload while streamlining DataOps, migrations, compliance, and governance efforts, thus enhancing organizational efficiency in managing data processes. Ultimately, Manta's capabilities transform how businesses approach data management in a rapidly evolving digital landscape.

Decube is a comprehensive data management platform designed to help organizations manage their data observability, data catalog, and data governance needs. Our platform is designed to provide accurate, reliable, and timely data, enabling organizations to make better-informed decisions. Our data observability tools provide end-to-end visibility into data, making it easier for organizations to track data origin and flow across different systems and departments. With our real-time monitoring capabilities, organizations can detect data incidents quickly and reduce their impact on business operations. The data catalog component of our platform provides a centralized repository for all data assets, making it easier for organizations to manage and govern data usage and access. With our data classification tools, organizations can identify and manage sensitive data more effectively, ensuring compliance with data privacy regulations and policies. The data governance component of our platform provides robust access controls, enabling organizations to manage data access and usage effectively. Our tools also allow organizations to generate audit reports, track user activity, and demonstrate compliance with regulatory requirements.

IndyKite serves as a specialized context graph designed to provide real-time trust, oversight, and clarity for both applications and AI technologies. By converting various signals into immediate enforcement contexts, it evaluates access permissions at the point of usage, answering critical questions about who or what can access specific data, under which circumstances, and the rationale behind it. This innovative platform consolidates identity, metadata, provenance, and policies into a cohesive operational context engine, allowing applications and AI systems to function effectively without the need to navigate through fragmented IAM systems, catalogs, MDM, security tools, code, and documentation. Moreover, IndyKite integrates identity, data, and policy into a unified model, ensuring that controls are applicable to humans, machines, and AI alike. Its Identity Knowledge Graph accurately depicts users, applications, machines, data types, and their interconnections, ultimately creating a comprehensive data model that encompasses both personal and non-personal entities. This robust framework lays the groundwork for intelligent and predictive access control, enriched with contextual insights, facilitating enhanced decision-making across diverse scenarios. By ensuring that all elements of identity and access management are interconnected, IndyKite enhances the overall security and efficiency of AI-driven applications.

NextLabs CloudAz serves as a zero trust policy platform that ensures uniform enforcement of security protocols throughout the organization and beyond. It is driven by a proprietary dynamic authorization policy engine and forms the core of NextLabs’ Data Centric Security Suite, which includes products like Entitlement Management, Data Access Security, and Digital Rights Management (DRM). CloudAz combines automated data classification, attribute-based access control (ABAC), data masking and segregation, digital rights protection, and auditing features into a single robust platform, allowing organizations to adapt their policies to the swiftly evolving business landscape while addressing the growing challenges of cybersecurity. The flexibility of the platform allows for deployment either on-premises or in the cloud, catering to the diverse needs of enterprises. Additionally, its comprehensive approach enhances security and compliance across various operational environments.

Talend Data Catalog provides your organization with a single point of control for all your data. Data Catalog provides robust tools for search, discovery, and connectors that allow you to extract metadata from almost any data source. It makes it easy to manage your data pipelines, protect your data, and accelerate your ETL process. Data Catalog automatically crawls, profiles and links all your metadata. Data Catalog automatically documents up to 80% of the data associated with it. Smart relationships and machine learning keep the data current and up-to-date, ensuring that the user has the most recent data. Data governance can be made a team sport by providing a single point of control that allows you to collaborate to improve data accessibility and accuracy. With intelligent data lineage tracking and compliance tracking, you can support data privacy and regulatory compliance.

Bid farewell to abandoned data catalogs. Acryl Cloud accelerates time-to-value by implementing Shift Left methodologies for data producers and providing an easy-to-navigate interface for data consumers. It enables the continuous monitoring of data quality incidents in real-time, automating anomaly detection to avert disruptions and facilitating swift resolutions when issues arise. With support for both push-based and pull-based metadata ingestion, Acryl Cloud simplifies maintenance, ensuring that information remains reliable, current, and authoritative. Data should be actionable and operational. Move past mere visibility and leverage automated Metadata Tests to consistently reveal data insights and identify new opportunities for enhancement. Additionally, enhance clarity and speed up resolutions with defined asset ownership, automatic detection, streamlined notifications, and temporal lineage for tracing the origins of issues while fostering a culture of proactive data management.

Meeting the demands of various new global data privacy laws and regulations is crucial for robust cybersecurity, and initiating data classification is the foundational step in establishing an effective data protection strategy. The suite of Titus Classification products offers vital resources that provide clear guidance to both personnel and regulations regarding which data must be safeguarded and the appropriate methods for its management. You can oversee and secure your data using the most adaptable and customizable classification metadata schema available in the industry. By giving your data context, you enable both individuals and automated systems to comprehend the proper handling of the information. It acts as a classification and policy enforcement mechanism, ensuring that every Microsoft Office document is appropriately classified before it can be saved, printed, or emailed. Additionally, every email must receive classification and protective marking before dispatch. Users can classify and secure any file type with just a few clicks in Microsoft Windows Explorer, significantly enhancing the protection of your organization. This streamlined process not only simplifies compliance but also fosters a culture of data awareness and responsibility among employees.

Siberson Veriket Data Classification is a cutting-edge platform driven by artificial intelligence that assists businesses in effectively classifying, labeling, and safeguarding sensitive data throughout various environments, including Microsoft 365, Google Workspace, Zimbra, endpoints, emails, file servers, and other business documents. By integrating user input, policy-driven approaches, and AI capabilities, it enhances the precision of labeling, fortifies data governance, and minimizes the risk of exposing sensitive information. Veriket offers a range of customizable classification levels, employs metadata for labeling, incorporates document and screen watermarking, provides guided classification forms, and enables centralized policy oversight. Designed specifically for enterprises and industries with regulatory demands, it empowers security and compliance teams to standardize how information is managed, adhere to privacy and regulatory standards, and improve the overall effectiveness of data loss prevention and comprehensive information protection measures. Furthermore, this platform not only simplifies the classification process but also enhances organizational resilience against data breaches and compliance violations.

OneTrust offers a comprehensive Data & AI Governance solution that integrates various insights from data, metadata, models, and risk assessments to create and implement effective policies for data and artificial intelligence. This platform not only streamlines the approval process for data products and AI systems, thereby fostering faster innovation, but also ensures business continuity through ongoing surveillance of these systems, which helps maintain regulatory adherence and manage risks efficiently while minimizing application downtime. By centralizing the definition and enforcement of data policies, it simplifies compliance measures for organizations. Additionally, the solution includes essential features such as consistent scanning, classification, and tagging of sensitive data, which guarantee the effective implementation of data governance across both structured and unstructured data sources. Furthermore, it reinforces responsible data utilization by establishing role-based access controls within a strong governance framework, ultimately enhancing the overall integrity and oversight of data practices.

Nextdata is an innovative operating system for data meshes that aims to decentralize the management of data, empowering organizations to effectively create, share, and oversee data products across diverse stacks and formats. By packaging data, metadata, code, and policies into versatile containers, it streamlines the data supply chain, guaranteeing that data remains useful, secure, and easily discoverable. The platform includes built-in automated policy enforcement as code, which consistently monitors and upholds data quality and compliance standards. It is designed to integrate flawlessly with existing data architectures, enabling users to configure and provision data products according to their requirements. Supporting the processing of data from any source and in any format, Nextdata facilitates advanced analytics, machine learning, and generative AI applications. Furthermore, it automatically generates and updates real-time metadata and semantic models throughout the lifecycle of the data product, significantly improving both discoverability and usability. By doing so, Nextdata not only simplifies complex data interactions but also enhances collaborative efforts within organizations, fostering a more data-driven culture.

HCL CDP stands as a robust solution that aggregates customer information from various sources, offering a comprehensive 360-degree perspective for enhanced insights. Its adaptability in architecture, thorough data lineage features, and adherence to privacy regulations position it as a preferred choice for contemporary businesses. 1. Effortless Scalability: HCL CDP can seamlessly adjust to increasing data volumes, maintaining optimal performance as companies grow, handle additional customer interactions, and merge diverse data sources. 2. Transparency & Compliance: The platform ensures complete visibility in data processing, monitoring data flow to meet requirements of GDPR, CCPA, and other regulations, while its zero-copy data framework boosts security by allowing data access without creating duplicates. 3. Versatile Deployment Options: Featuring choices for on-premise, cloud, and hybrid deployment, HCL CDP grants organizations the flexibility to expand without being tied to a specific vendor. 4. Integration Flexibility: HCL CDP integrates effortlessly with various CRM and marketing automation tools, as well as analytics platforms, making it adaptable to different technological ecosystems. By leveraging such capabilities, businesses can unlock the full potential of their customer data to drive strategic decisions.

In an era where technology evolves rapidly and security often lags behind, organizations grapple with the formidable task of bridging gaps and ensuring consistent policy enforcement and compliance with regulations in a multi-cloud landscape. HyTrust CloudControl offers sophisticated privileged user access management, policy enforcement, and automated compliance capabilities specifically designed for private cloud environments. Meanwhile, HyTrust DataControl delivers robust encryption for data at rest and a unified key management system that supports workloads across various cloud platforms. By encrypting workloads, businesses can safeguard their sensitive information effectively. However, a significant hurdle in implementing workload encryption is the challenge of efficiently managing encryption keys at scale. HyTrust aims to enhance the trustworthiness of private, public, and hybrid cloud infrastructures for enterprises, service providers, and government entities alike. Their solutions are tailored to automate the security measures necessary for software-defined computing, networking, and storage, thereby streamlining the overall security management process. As organizations continue to adapt to the complexities of cloud environments, the importance of reliable security solutions becomes increasingly paramount.

An enterprise solution that is powerful and real-time for cleaning, de-duping, enriching and enriching data. StarDQ Data Validation Solutions integrates with organizations to cleanse, match, and unify data across multiple data domains and sources. This creates a strategic, trustworthy and valuable asset that improves decision making, reduces expenses, and ensures seamless customer interaction. StarDQ Self Service Data Quality empowers business users to quickly prepare and match data sets using a visual interface. It also offers one-click fixes for duplicate, incomplete, or inaccurate data. Provide quick access to data integration, reusable cleaning & de-duplication rules for business users, data stewards, IT business analysts, and other business users.