{"id":58183,"date":"2025-12-20T18:49:43","date_gmt":"2025-12-20T18:49:43","guid":{"rendered":"https:\/\/www.devopsschool.com\/blog\/?p=58183"},"modified":"2026-01-18T18:52:31","modified_gmt":"2026-01-18T18:52:31","slug":"top-10-enterprise-data-fabric-platforms-features-pros-cons-comparison","status":"publish","type":"post","link":"https:\/\/www.devopsschool.com\/blog\/top-10-enterprise-data-fabric-platforms-features-pros-cons-comparison\/","title":{"rendered":"Top 10 Enterprise Data Fabric Platforms: Features, Pros, Cons & Comparison"},"content":{"rendered":"\n
\"\"<\/figure>\n\n\n\n

Introduction<\/h2>\n\n\n\n

Enterprise Data Fabric Platforms are designed to solve one of the biggest challenges modern organizations face: fragmented, siloed, and hard-to-access data<\/strong>. As enterprises adopt cloud services, SaaS tools, legacy systems, IoT platforms, and real-time analytics, data becomes scattered across environments. A data fabric provides a unified, intelligent data layer<\/strong> that connects, integrates, governs, and delivers data seamlessly\u2014without forcing all data to be physically moved into one place.<\/p>\n\n\n\n

The importance of enterprise data fabric platforms has grown rapidly due to data-driven decision-making, AI and machine learning initiatives, regulatory pressure, and the need for real-time insights. These platforms enable organizations to access trusted data faster, reduce integration complexity, improve data governance, and scale analytics across hybrid and multi-cloud environments.<\/p>\n\n\n\n

Common real-world use cases include<\/strong> enterprise analytics, AI\/ML model training, customer 360 views, real-time operational dashboards, data governance and compliance, and modernization of legacy data architectures.<\/p>\n\n\n\n

When choosing an enterprise data fabric platform, buyers should evaluate integration breadth, metadata intelligence, governance capabilities, scalability, security, performance, ease of use, and total cost of ownership<\/strong>. The right platform acts as a long-term foundation for analytics, AI, and digital transformation.<\/p>\n\n\n\n

Best for:<\/strong>
Enterprise Data Fabric Platforms are ideal for large enterprises, data-driven organizations, regulated industries, data engineering teams, analytics leaders, and CIO\/CDO offices<\/strong> that need consistent, governed, and scalable access to data across environments.<\/p>\n\n\n\n

Not ideal for:<\/strong>
These platforms may be excessive for very small teams, early-stage startups, or organizations with simple single-database setups<\/strong>, where lighter ETL or basic BI tools may be sufficient.<\/p>\n\n\n\n

\n\n\n\n

Top 10 Enterprise Data Fabric Platforms Tools<\/h2>\n\n\n\n
\n\n\n\n

1 \u2014 Informatica Intelligent Data Management Cloud (IDMC)<\/h3>\n\n\n\n

Short description:<\/strong>
A market-leading enterprise data fabric platform focused on metadata-driven intelligence, governance, and large-scale data integration across hybrid and multi-cloud environments.<\/p>\n\n\n\n

Key features:<\/strong><\/p>\n\n\n\n

    \n
  • AI-powered metadata management and discovery<\/li>\n\n\n\n
  • Data integration, quality, and governance in one platform<\/li>\n\n\n\n
  • Hybrid and multi-cloud support<\/li>\n\n\n\n
  • Master data management (MDM)<\/li>\n\n\n\n
  • Data catalog and lineage tracking<\/li>\n\n\n\n
  • Built-in data privacy and compliance controls<\/li>\n<\/ul>\n\n\n\n

    Pros:<\/strong><\/p>\n\n\n\n

      \n
    • Extremely mature and enterprise-proven<\/li>\n\n\n\n
    • Strong governance and metadata intelligence<\/li>\n<\/ul>\n\n\n\n

      Cons:<\/strong><\/p>\n\n\n\n

        \n
      • High cost for smaller teams<\/li>\n\n\n\n
      • Requires skilled implementation resources<\/li>\n<\/ul>\n\n\n\n

        Security & compliance:<\/strong>
        SSO, encryption at rest and in transit, audit logs, GDPR, HIPAA, SOC 2, ISO (enterprise-grade).<\/p>\n\n\n\n

        Support & community:<\/strong>
        Strong documentation, enterprise support, global partner ecosystem, extensive training resources.<\/p>\n\n\n\n

        \n\n\n\n

        2 \u2014 IBM Cloud Pak for Data<\/h3>\n\n\n\n

        Short description:<\/strong>
        A comprehensive data and AI platform that enables data fabric architecture with strong governance, analytics, and AI capabilities.<\/p>\n\n\n\n

        Key features:<\/strong><\/p>\n\n\n\n

          \n
        • Unified data fabric architecture<\/li>\n\n\n\n
        • Integrated AI and analytics services<\/li>\n\n\n\n
        • Data governance and lineage<\/li>\n\n\n\n
        • Hybrid cloud deployment<\/li>\n\n\n\n
        • OpenShift-based containerization<\/li>\n\n\n\n
        • Advanced data virtualization<\/li>\n<\/ul>\n\n\n\n

          Pros:<\/strong><\/p>\n\n\n\n

            \n
          • Deep AI and analytics integration<\/li>\n\n\n\n
          • Strong hybrid cloud support<\/li>\n<\/ul>\n\n\n\n

            Cons:<\/strong><\/p>\n\n\n\n

              \n
            • Complex setup and management<\/li>\n\n\n\n
            • Steep learning curve<\/li>\n<\/ul>\n\n\n\n

              Security & compliance:<\/strong>
              Enterprise-grade security, encryption, role-based access, GDPR, HIPAA, SOC, ISO support.<\/p>\n\n\n\n

              Support & community:<\/strong>
              Extensive enterprise support, large user base, strong documentation.<\/p>\n\n\n\n

              \n\n\n\n

              3 \u2014 SAP Data Intelligence Cloud<\/h3>\n\n\n\n

              Short description:<\/strong>
              A data fabric platform designed for SAP-centric enterprises, combining data orchestration, governance, and analytics.<\/p>\n\n\n\n

              Key features:<\/strong><\/p>\n\n\n\n

                \n
              • Metadata-driven data orchestration<\/li>\n\n\n\n
              • Native SAP ecosystem integration<\/li>\n\n\n\n
              • Data lineage and governance<\/li>\n\n\n\n
              • Machine learning pipeline support<\/li>\n\n\n\n
              • Hybrid deployment<\/li>\n\n\n\n
              • Business-friendly data modeling<\/li>\n<\/ul>\n\n\n\n

                Pros:<\/strong><\/p>\n\n\n\n

                  \n
                • Excellent for SAP-heavy environments<\/li>\n\n\n\n
                • Strong metadata and governance<\/li>\n<\/ul>\n\n\n\n

                  Cons:<\/strong><\/p>\n\n\n\n

                    \n
                  • Less attractive outside SAP ecosystems<\/li>\n\n\n\n
                  • Premium pricing<\/li>\n<\/ul>\n\n\n\n

                    Security & compliance:<\/strong>
                    Enterprise-grade security, encryption, audit logs, GDPR and ISO compliance.<\/p>\n\n\n\n

                    Support & community:<\/strong>
                    Strong enterprise support and SAP partner network.<\/p>\n\n\n\n

                    \n\n\n\n

                    4 \u2014 Talend Data Fabric<\/h3>\n\n\n\n

                    Short description:<\/strong>
                    An open, cloud-based data fabric platform focused on integration, quality, and trust.<\/p>\n\n\n\n

                    Key features:<\/strong><\/p>\n\n\n\n

                      \n
                    • Unified data integration and quality<\/li>\n\n\n\n
                    • Real-time and batch processing<\/li>\n\n\n\n
                    • Data catalog and lineage<\/li>\n\n\n\n
                    • API and application integration<\/li>\n\n\n\n
                    • Cloud-native architecture<\/li>\n\n\n\n
                    • Self-service data preparation<\/li>\n<\/ul>\n\n\n\n

                      Pros:<\/strong><\/p>\n\n\n\n

                        \n
                      • User-friendly and flexible<\/li>\n\n\n\n
                      • Strong data quality tools<\/li>\n<\/ul>\n\n\n\n

                        Cons:<\/strong><\/p>\n\n\n\n

                          \n
                        • Advanced governance may require add-ons<\/li>\n\n\n\n
                        • Performance tuning needed at scale<\/li>\n<\/ul>\n\n\n\n

                          Security & compliance:<\/strong>
                          SSO, encryption, GDPR compliance; certifications vary by deployment.<\/p>\n\n\n\n

                          Support & community:<\/strong>
                          Good documentation, active community, enterprise support available.<\/p>\n\n\n\n

                          \n\n\n\n

                          5 \u2014 Denodo Platform<\/h3>\n\n\n\n

                          Short description:<\/strong>
                          A leading data virtualization-based data fabric platform that enables real-time access without data replication.<\/p>\n\n\n\n

                          Key features:<\/strong><\/p>\n\n\n\n

                            \n
                          • Logical data fabric via virtualization<\/li>\n\n\n\n
                          • Real-time and federated queries<\/li>\n\n\n\n
                          • Data catalog and metadata management<\/li>\n\n\n\n
                          • Caching and performance optimization<\/li>\n\n\n\n
                          • Governance and security controls<\/li>\n\n\n\n
                          • Broad data source connectivity<\/li>\n<\/ul>\n\n\n\n

                            Pros:<\/strong><\/p>\n\n\n\n

                              \n
                            • Reduces data duplication<\/li>\n\n\n\n
                            • Strong real-time performance<\/li>\n<\/ul>\n\n\n\n

                              Cons:<\/strong><\/p>\n\n\n\n

                                \n
                              • Not a full ETL replacement<\/li>\n\n\n\n
                              • Requires careful query optimization<\/li>\n<\/ul>\n\n\n\n

                                Security & compliance:<\/strong>
                                Enterprise security, SSO, encryption, audit logs; compliance varies by deployment.<\/p>\n\n\n\n

                                Support & community:<\/strong>
                                Strong enterprise support, clear documentation, active customer base.<\/p>\n\n\n\n

                                \n\n\n\n

                                6 \u2014 Oracle Data Integration & Data Fabric Services<\/h3>\n\n\n\n

                                Short description:<\/strong>
                                Oracle\u2019s enterprise data fabric capabilities integrated into its cloud data and analytics ecosystem.<\/p>\n\n\n\n

                                Key features:<\/strong><\/p>\n\n\n\n

                                  \n
                                • Native integration with Oracle Cloud<\/li>\n\n\n\n
                                • Metadata management and lineage<\/li>\n\n\n\n
                                • Data integration and replication<\/li>\n\n\n\n
                                • Built-in analytics services<\/li>\n\n\n\n
                                • Strong transactional performance<\/li>\n\n\n\n
                                • Hybrid deployment options<\/li>\n<\/ul>\n\n\n\n

                                  Pros:<\/strong><\/p>\n\n\n\n

                                    \n
                                  • Excellent for Oracle-centric enterprises<\/li>\n\n\n\n
                                  • Strong performance and reliability<\/li>\n<\/ul>\n\n\n\n

                                    Cons:<\/strong><\/p>\n\n\n\n

                                      \n
                                    • Vendor lock-in concerns<\/li>\n\n\n\n
                                    • Less flexible outside Oracle stack<\/li>\n<\/ul>\n\n\n\n

                                      Security & compliance:<\/strong>
                                      Enterprise-grade security, encryption, SOC, ISO, GDPR compliance.<\/p>\n\n\n\n

                                      Support & community:<\/strong>
                                      Strong enterprise support and documentation.<\/p>\n\n\n\n

                                      \n\n\n\n

                                      7 \u2014 Microsoft Fabric<\/h3>\n\n\n\n

                                      Short description:<\/strong>
                                      A unified data and analytics platform that supports data fabric principles across Microsoft\u2019s cloud ecosystem.<\/p>\n\n\n\n

                                      Key features:<\/strong><\/p>\n\n\n\n

                                        \n
                                      • Unified analytics and data integration<\/li>\n\n\n\n
                                      • Deep integration with Microsoft ecosystem<\/li>\n\n\n\n
                                      • Lakehouse and warehouse support<\/li>\n\n\n\n
                                      • Built-in governance and security<\/li>\n\n\n\n
                                      • Scalable cloud-native architecture<\/li>\n\n\n\n
                                      • Power BI integration<\/li>\n<\/ul>\n\n\n\n

                                        Pros:<\/strong><\/p>\n\n\n\n

                                          \n
                                        • Easy adoption for Microsoft users<\/li>\n\n\n\n
                                        • Strong analytics capabilities<\/li>\n<\/ul>\n\n\n\n

                                          Cons:<\/strong><\/p>\n\n\n\n

                                            \n
                                          • Best suited for Azure environments<\/li>\n\n\n\n
                                          • Less neutral in multi-cloud setups<\/li>\n<\/ul>\n\n\n\n

                                            Security & compliance:<\/strong>
                                            SSO, encryption, audit logs, SOC, ISO, GDPR compliance.<\/p>\n\n\n\n

                                            Support & community:<\/strong>
                                            Extensive documentation, strong community, enterprise support.<\/p>\n\n\n\n

                                            \n\n\n\n

                                            8 \u2014 Cloudera Data Platform (CDP)<\/h3>\n\n\n\n

                                            Short description:<\/strong>
                                            A hybrid data platform that supports data fabric architecture with strong governance and analytics.<\/p>\n\n\n\n

                                            Key features:<\/strong><\/p>\n\n\n\n

                                              \n
                                            • Hybrid and multi-cloud support<\/li>\n\n\n\n
                                            • Centralized governance and metadata<\/li>\n\n\n\n
                                            • Data engineering and analytics<\/li>\n\n\n\n
                                            • Machine learning integration<\/li>\n\n\n\n
                                            • Open data standards<\/li>\n\n\n\n
                                            • Scalable architecture<\/li>\n<\/ul>\n\n\n\n

                                              Pros:<\/strong><\/p>\n\n\n\n

                                                \n
                                              • Strong hybrid capabilities<\/li>\n\n\n\n
                                              • Open and extensible platform<\/li>\n<\/ul>\n\n\n\n

                                                Cons:<\/strong><\/p>\n\n\n\n

                                                  \n
                                                • Operational complexity<\/li>\n\n\n\n
                                                • Requires skilled data teams<\/li>\n<\/ul>\n\n\n\n

                                                  Security & compliance:<\/strong>
                                                  Enterprise security, encryption, role-based access, GDPR and ISO support.<\/p>\n\n\n\n

                                                  Support & community:<\/strong>
                                                  Strong enterprise support, active user community.<\/p>\n\n\n\n

                                                  \n\n\n\n

                                                  9 \u2014 Ataccama ONE Platform<\/h3>\n\n\n\n

                                                  Short description:<\/strong>
                                                  An AI-driven data fabric platform focused on governance, quality, and master data management.<\/p>\n\n\n\n

                                                  Key features:<\/strong><\/p>\n\n\n\n

                                                    \n
                                                  • AI-powered data quality and governance<\/li>\n\n\n\n
                                                  • Metadata management<\/li>\n\n\n\n
                                                  • Master data management<\/li>\n\n\n\n
                                                  • Data catalog and lineage<\/li>\n\n\n\n
                                                  • Automation and orchestration<\/li>\n\n\n\n
                                                  • Hybrid deployment support<\/li>\n<\/ul>\n\n\n\n

                                                    Pros:<\/strong><\/p>\n\n\n\n

                                                      \n
                                                    • Strong governance and quality focus<\/li>\n\n\n\n
                                                    • Intelligent automation<\/li>\n<\/ul>\n\n\n\n

                                                      Cons:<\/strong><\/p>\n\n\n\n

                                                        \n
                                                      • Smaller ecosystem compared to giants<\/li>\n\n\n\n
                                                      • Premium pricing for advanced features<\/li>\n<\/ul>\n\n\n\n

                                                        Security & compliance:<\/strong>
                                                        Enterprise security, GDPR, SOC 2, audit logs.<\/p>\n\n\n\n

                                                        Support & community:<\/strong>
                                                        Good enterprise support, growing community.<\/p>\n\n\n\n

                                                        \n\n\n\n

                                                        10 \u2014 TIBCO Data Fabric<\/h3>\n\n\n\n

                                                        Short description:<\/strong>
                                                        An integration-centric data fabric platform designed for real-time analytics and complex enterprise environments.<\/p>\n\n\n\n

                                                        Key features:<\/strong><\/p>\n\n\n\n

                                                          \n
                                                        • Event-driven and real-time data integration<\/li>\n\n\n\n
                                                        • Metadata and catalog services<\/li>\n\n\n\n
                                                        • Advanced analytics integration<\/li>\n\n\n\n
                                                        • API and streaming support<\/li>\n\n\n\n
                                                        • Hybrid deployment<\/li>\n\n\n\n
                                                        • Automation tools<\/li>\n<\/ul>\n\n\n\n

                                                          Pros:<\/strong><\/p>\n\n\n\n

                                                            \n
                                                          • Strong real-time capabilities<\/li>\n\n\n\n
                                                          • Robust integration tooling<\/li>\n<\/ul>\n\n\n\n

                                                            Cons:<\/strong><\/p>\n\n\n\n

                                                              \n
                                                            • Complex licensing<\/li>\n\n\n\n
                                                            • Steeper learning curve<\/li>\n<\/ul>\n\n\n\n

                                                              Security & compliance:<\/strong>
                                                              SSO, encryption, audit logs; compliance varies by deployment.<\/p>\n\n\n\n

                                                              Support & community:<\/strong>
                                                              Strong enterprise support, solid documentation.<\/p>\n\n\n\n

                                                              \n\n\n\n

                                                              Comparison Table<\/h2>\n\n\n\n
                                                              Tool Name<\/th>Best For<\/th>Platform(s) Supported<\/th>Standout Feature<\/th>Rating<\/th><\/tr><\/thead>
                                                              Informatica IDMC<\/td>Large enterprises<\/td>Hybrid \/ Multi-cloud<\/td>AI-driven metadata<\/td>N\/A<\/td><\/tr>
                                                              IBM Cloud Pak for Data<\/td>AI-driven enterprises<\/td>Hybrid \/ Cloud<\/td>Data + AI fabric<\/td>N\/A<\/td><\/tr>
                                                              SAP Data Intelligence<\/td>SAP-centric orgs<\/td>Hybrid \/ Cloud<\/td>SAP-native integration<\/td>N\/A<\/td><\/tr>
                                                              Talend Data Fabric<\/td>Data integration teams<\/td>Cloud \/ Hybrid<\/td>Data quality<\/td>N\/A<\/td><\/tr>
                                                              Denodo Platform<\/td>Real-time access<\/td>Hybrid \/ Cloud<\/td>Data virtualization<\/td>N\/A<\/td><\/tr>
                                                              Oracle Data Fabric<\/td>Oracle customers<\/td>Cloud \/ Hybrid<\/td>Performance & reliability<\/td>N\/A<\/td><\/tr>
                                                              Microsoft Fabric<\/td>Azure users<\/td>Cloud<\/td>Unified analytics<\/td>N\/A<\/td><\/tr>
                                                              Cloudera CDP<\/td>Hybrid analytics<\/td>Hybrid \/ Cloud<\/td>Open architecture<\/td>N\/A<\/td><\/tr>
                                                              Ataccama ONE<\/td>Governance-first orgs<\/td>Hybrid \/ Cloud<\/td>AI governance<\/td>N\/A<\/td><\/tr>
                                                              TIBCO Data Fabric<\/td>Real-time enterprises<\/td>Hybrid \/ Cloud<\/td>Event-driven integration<\/td>N\/A<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
                                                              \n\n\n\n

                                                              Evaluation & Scoring of Enterprise Data Fabric Platforms<\/h2>\n\n\n\n
                                                              Criteria<\/th>Weight<\/th>Evaluation Notes<\/th><\/tr><\/thead>
                                                              Core features<\/td>25%<\/td>Breadth of integration, metadata, governance<\/td><\/tr>
                                                              Ease of use<\/td>15%<\/td>UI, onboarding, self-service<\/td><\/tr>
                                                              Integrations & ecosystem<\/td>15%<\/td>Connectors, partners, extensibility<\/td><\/tr>
                                                              Security & compliance<\/td>10%<\/td>Enterprise-grade controls<\/td><\/tr>
                                                              Performance & reliability<\/td>10%<\/td>Scalability, real-time support<\/td><\/tr>
                                                              Support & community<\/td>10%<\/td>Documentation, support quality<\/td><\/tr>
                                                              Price \/ value<\/td>15%<\/td>ROI vs cost<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
                                                              \n\n\n\n

                                                              Which Enterprise Data Fabric Platforms Tool Is Right for You?<\/h2>\n\n\n\n
                                                                \n
                                                              • Solo users:<\/strong> Usually do not need full data fabric platforms.<\/li>\n\n\n\n
                                                              • SMBs:<\/strong> Lightweight or cloud-native options with simpler governance.<\/li>\n\n\n\n
                                                              • Mid-market:<\/strong> Platforms with strong integration and manageable cost.<\/li>\n\n\n\n
                                                              • Enterprises:<\/strong> Full-featured platforms with governance, scalability, and compliance.<\/li>\n<\/ul>\n\n\n\n

                                                                Budget-conscious teams<\/strong> should focus on modular, cloud-native tools, while premium buyers<\/strong> benefit from AI-driven governance and enterprise-scale reliability. Organizations prioritizing ease of use<\/strong> may favor Microsoft or Talend, while those needing deep control and scale<\/strong> may prefer Informatica, IBM, or SAP.<\/p>\n\n\n\n

                                                                \n\n\n\n

                                                                Frequently Asked Questions (FAQs)<\/h2>\n\n\n\n
                                                                  \n
                                                                1. What is an enterprise data fabric?<\/strong>
                                                                  A unified architecture that connects and governs data across systems without centralizing everything.<\/li>\n\n\n\n
                                                                2. Is data fabric the same as a data lake?<\/strong>
                                                                  No. A data lake stores data, while a data fabric connects and manages data everywhere.<\/li>\n\n\n\n
                                                                3. Do data fabric platforms require data migration?<\/strong>
                                                                  Not always. Many rely on virtualization and metadata.<\/li>\n\n\n\n
                                                                4. Are data fabric platforms cloud-only?<\/strong>
                                                                  Most support hybrid and multi-cloud deployments.<\/li>\n\n\n\n
                                                                5. How long does implementation take?<\/strong>
                                                                  From weeks to several months, depending on scope.<\/li>\n\n\n\n
                                                                6. Are these tools secure?<\/strong>
                                                                  Yes, most offer enterprise-grade security and compliance features.<\/li>\n\n\n\n
                                                                7. Can SMBs use data fabric platforms?<\/strong>
                                                                  Yes, but simplified or modular solutions are recommended.<\/li>\n\n\n\n
                                                                8. Do they support real-time data?<\/strong>
                                                                  Many platforms support real-time and streaming use cases.<\/li>\n\n\n\n
                                                                9. Are open-source alternatives available?<\/strong>
                                                                  Yes, but they require significant engineering effort.<\/li>\n\n\n\n
                                                                10. What is the biggest mistake buyers make?<\/strong>
                                                                  Underestimating governance and change management needs.<\/li>\n<\/ol>\n\n\n\n
                                                                  \n\n\n\n

                                                                  Conclusion<\/h2>\n\n\n\n

                                                                  Enterprise Data Fabric Platforms play a critical role in modern data-driven organizations by enabling trusted, governed, and scalable access to data across environments<\/strong>. While tools like Informatica, IBM, SAP, Microsoft, and others lead the market, there is no single universal winner.<\/p>\n\n\n\n

                                                                  The best choice depends on organizational size, data complexity, existing technology stack, budget, and governance requirements<\/strong>. By aligning platform capabilities with real business needs, enterprises can build a resilient data foundation that supports analytics, AI, and long-term digital transformation.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                                                  Introduction Enterprise Data Fabric Platforms are designed to solve one of the biggest challenges modern organizations face: fragmented, siloed, and hard-to-access data. As enterprises adopt cloud services, SaaS tools, legacy systems, IoT platforms, and real-time analytics, data becomes scattered across environments. A data fabric provides a unified, intelligent data layer that connects, integrates, governs, and…<\/p>\n","protected":false},"author":58,"featured_media":0,"comment_status":"open","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","_joinchat":[],"footnotes":""},"categories":[11138],"tags":[23339,23318,23334,14516,14941,23338,23337,23333,14908,23335,14953,23322,23336,23340],"class_list":["post-58183","post","type-post","status-publish","format-standard","hentry","category-best-tools","tag-ai-driven-data-management","tag-data-fabric-architecture","tag-data-fabric-tools","tag-data-governance-solutions","tag-data-management-platforms","tag-data-virtualization","tag-enterprise-analytics-platform","tag-enterprise-data-fabric-platforms","tag-enterprise-data-integration","tag-hybrid-data-fabric","tag-metadata-management","tag-modern-data-architecture","tag-multi-cloud-data-fabric","tag-unified-data-layer"],"_links":{"self":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/58183","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/users\/58"}],"replies":[{"embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/comments?post=58183"}],"version-history":[{"count":1,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/58183\/revisions"}],"predecessor-version":[{"id":58185,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/58183\/revisions\/58185"}],"wp:attachment":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/media?parent=58183"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/categories?post=58183"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/tags?post=58183"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}