{"id":58180,"date":"2025-12-24T18:46:46","date_gmt":"2025-12-24T18:46:46","guid":{"rendered":"https:\/\/www.devopsschool.com\/blog\/?p=58180"},"modified":"2026-01-18T18:49:33","modified_gmt":"2026-01-18T18:49:33","slug":"top-10-data-federation-platforms-features-pros-cons-comparison","status":"publish","type":"post","link":"https:\/\/www.devopsschool.com\/blog\/top-10-data-federation-platforms-features-pros-cons-comparison\/","title":{"rendered":"Top 10 Data Federation Platforms: Features, Pros, Cons & Comparison"},"content":{"rendered":"\n
\"\"<\/figure>\n\n\n\n

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

Data Federation Platforms are designed to unify access to data spread across multiple systems without physically moving it<\/strong>. Instead of copying data into a central warehouse or lake, these platforms create a virtual data layer<\/strong> that allows users to query, analyze, and integrate data in real time from diverse sources such as databases, cloud storage, APIs, SaaS applications, and legacy systems.<\/p>\n\n\n\n

The importance of data federation has grown rapidly as organizations adopt hybrid and multi-cloud architectures<\/strong>, accumulate more data sources, and demand faster insights. Traditional ETL-based approaches are often slow, costly, and difficult to scale. Data federation helps reduce data duplication, improve governance, and enable near real-time analytics.<\/p>\n\n\n\n

Common real-world use cases include:<\/h3>\n\n\n\n
    \n
  • Enterprise analytics across distributed data sources<\/li>\n\n\n\n
  • Data virtualization for BI and reporting<\/li>\n\n\n\n
  • Regulatory reporting without data replication<\/li>\n\n\n\n
  • Real-time operational dashboards<\/li>\n\n\n\n
  • AI\/ML feature access across heterogeneous systems<\/li>\n<\/ul>\n\n\n\n

    When choosing a Data Federation Platform, buyers should evaluate query performance, source connectivity, security controls, scalability, governance, ease of use, and cost<\/strong>. Not all tools are equal\u2014some focus on high-performance analytics, while others emphasize enterprise governance or cloud-native scalability.<\/p>\n\n\n\n

    Best for:<\/strong>
    Data architects, analytics teams, data engineers, BI teams, enterprises with hybrid or multi-cloud data, regulated industries, and organizations seeking faster insights without heavy data movement.<\/p>\n\n\n\n

    Not ideal for:<\/strong>
    Small teams with only one or two data sources, organizations requiring full data replication for offline analytics, or use cases where batch ETL pipelines already meet performance and governance needs.<\/p>\n\n\n\n

    \n\n\n\n

    Top 10 Data Federation Platforms Tools<\/h2>\n\n\n\n
    \n\n\n\n

    1 \u2014 Denodo<\/h3>\n\n\n\n

    Short description:<\/strong>
    A market-leading enterprise data virtualization platform focused on real-time data access, governance, and performance optimization across complex data ecosystems.<\/p>\n\n\n\n

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

      \n
    • Logical data layer with semantic modeling<\/li>\n\n\n\n
    • Real-time query optimization and caching<\/li>\n\n\n\n
    • Broad connectivity (databases, cloud, APIs, SaaS)<\/li>\n\n\n\n
    • Advanced security and data masking<\/li>\n\n\n\n
    • Data catalog and metadata management<\/li>\n\n\n\n
    • AI-assisted query optimization<\/li>\n<\/ul>\n\n\n\n

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

        \n
      • Strong performance for complex federated queries<\/li>\n\n\n\n
      • Mature governance and security capabilities<\/li>\n\n\n\n
      • Proven enterprise-scale deployments<\/li>\n<\/ul>\n\n\n\n

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

          \n
        • Higher cost compared to open-source alternatives<\/li>\n\n\n\n
        • Requires skilled data architecture expertise<\/li>\n<\/ul>\n\n\n\n

          Security & compliance:<\/strong>
          SSO, encryption, role-based access control, audit logs, GDPR, SOC 2 (varies by deployment)<\/p>\n\n\n\n

          Support & community:<\/strong>
          Excellent documentation, enterprise-grade support, strong professional services ecosystem<\/p>\n\n\n\n

          \n\n\n\n

          2 \u2014 Starburst<\/h3>\n\n\n\n

          Short description:<\/strong>
          A data federation and analytics platform built on distributed SQL, designed for high-performance queries across data lakes, warehouses, and operational systems.<\/p>\n\n\n\n

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

            \n
          • Distributed SQL query engine<\/li>\n\n\n\n
          • Strong support for data lakes and cloud storage<\/li>\n\n\n\n
          • Cost-based query optimization<\/li>\n\n\n\n
          • ANSI SQL compatibility<\/li>\n\n\n\n
          • Elastic scaling in cloud environments<\/li>\n\n\n\n
          • Integration with BI tools<\/li>\n<\/ul>\n\n\n\n

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

              \n
            • Excellent query performance at scale<\/li>\n\n\n\n
            • Open architecture with flexibility<\/li>\n\n\n\n
            • Strong cloud-native capabilities<\/li>\n<\/ul>\n\n\n\n

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

                \n
              • Requires tuning for optimal performance<\/li>\n\n\n\n
              • Advanced features often enterprise-licensed<\/li>\n<\/ul>\n\n\n\n

                Security & compliance:<\/strong>
                SSO, encryption, role-based access, audit logging (varies by deployment)<\/p>\n\n\n\n

                Support & community:<\/strong>
                Active community, solid documentation, commercial enterprise support available<\/p>\n\n\n\n

                \n\n\n\n

                3 \u2014 Dremio<\/h3>\n\n\n\n

                Short description:<\/strong>
                A self-service data federation and analytics platform optimized for data lakehouse environments and interactive analytics.<\/p>\n\n\n\n

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

                  \n
                • Semantic layer for data virtualization<\/li>\n\n\n\n
                • Query acceleration via reflections<\/li>\n\n\n\n
                • Self-service data exploration<\/li>\n\n\n\n
                • Broad source connectivity<\/li>\n\n\n\n
                • Integration with BI and data science tools<\/li>\n\n\n\n
                • Cloud and on-prem support<\/li>\n<\/ul>\n\n\n\n

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

                    \n
                  • Strong performance for analytical workloads<\/li>\n\n\n\n
                  • User-friendly interface for analysts<\/li>\n\n\n\n
                  • Reduces dependency on ETL pipelines<\/li>\n<\/ul>\n\n\n\n

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

                      \n
                    • Less suitable for transactional workloads<\/li>\n\n\n\n
                    • Advanced features may increase cost<\/li>\n<\/ul>\n\n\n\n

                      Security & compliance:<\/strong>
                      SSO, encryption, role-based access, audit logs<\/p>\n\n\n\n

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

                      \n\n\n\n

                      4 \u2014 TIBCO Data Virtualization<\/h3>\n\n\n\n

                      Short description:<\/strong>
                      An enterprise-focused data virtualization platform designed for complex integration, analytics, and governance scenarios.<\/p>\n\n\n\n

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

                        \n
                      • Unified virtual data layer<\/li>\n\n\n\n
                      • Advanced caching and optimization<\/li>\n\n\n\n
                      • Extensive connector library<\/li>\n\n\n\n
                      • Metadata and lineage tracking<\/li>\n\n\n\n
                      • Integration with analytics and integration tools<\/li>\n\n\n\n
                      • Strong governance controls<\/li>\n<\/ul>\n\n\n\n

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

                          \n
                        • Mature and reliable enterprise solution<\/li>\n\n\n\n
                        • Strong integration capabilities<\/li>\n\n\n\n
                        • Robust governance features<\/li>\n<\/ul>\n\n\n\n

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

                            \n
                          • Complex setup and administration<\/li>\n\n\n\n
                          • Higher licensing costs<\/li>\n<\/ul>\n\n\n\n

                            Security & compliance:<\/strong>
                            SSO, encryption, audit logs, GDPR, enterprise compliance support<\/p>\n\n\n\n

                            Support & community:<\/strong>
                            Strong enterprise support, extensive documentation, limited open community<\/p>\n\n\n\n

                            \n\n\n\n

                            5 \u2014 IBM Cloud Pak for Data (Data Virtualization)<\/h3>\n\n\n\n

                            Short description:<\/strong>
                            A data virtualization capability within IBM\u2019s broader data and AI platform, suited for large enterprises with hybrid cloud strategies.<\/p>\n\n\n\n

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

                              \n
                            • Unified data access across cloud and on-prem<\/li>\n\n\n\n
                            • Integration with AI and analytics services<\/li>\n\n\n\n
                            • Built-in governance and catalog<\/li>\n\n\n\n
                            • Containerized deployment<\/li>\n\n\n\n
                            • Strong metadata management<\/li>\n\n\n\n
                            • Policy-based security<\/li>\n<\/ul>\n\n\n\n

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

                                \n
                              • Tight integration with enterprise data ecosystems<\/li>\n\n\n\n
                              • Strong governance and compliance<\/li>\n\n\n\n
                              • Scalable for large organizations<\/li>\n<\/ul>\n\n\n\n

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

                                  \n
                                • Platform complexity<\/li>\n\n\n\n
                                • Cost may be high for smaller teams<\/li>\n<\/ul>\n\n\n\n

                                  Security & compliance:<\/strong>
                                  SSO, encryption, audit logs, GDPR, SOC, enterprise-grade controls<\/p>\n\n\n\n

                                  Support & community:<\/strong>
                                  Comprehensive enterprise support, extensive documentation<\/p>\n\n\n\n

                                  \n\n\n\n

                                  6 \u2014 Red Hat JBoss Data Virtualization<\/h3>\n\n\n\n

                                  Short description:<\/strong>
                                  An open-source\u2013based data federation solution designed for developers and enterprises seeking flexible virtualization capabilities.<\/p>\n\n\n\n

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

                                    \n
                                  • Virtual database abstraction<\/li>\n\n\n\n
                                  • SQL-based access layer<\/li>\n\n\n\n
                                  • Integration with middleware and services<\/li>\n\n\n\n
                                  • Deployment on hybrid environments<\/li>\n\n\n\n
                                  • Open standards support<\/li>\n\n\n\n
                                  • Custom transformation logic<\/li>\n<\/ul>\n\n\n\n

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

                                      \n
                                    • Strong flexibility for developers<\/li>\n\n\n\n
                                    • Open-source foundation<\/li>\n\n\n\n
                                    • Good for service-oriented architectures<\/li>\n<\/ul>\n\n\n\n

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

                                        \n
                                      • Less focus on self-service analytics<\/li>\n\n\n\n
                                      • Requires technical expertise<\/li>\n<\/ul>\n\n\n\n

                                        Security & compliance:<\/strong>
                                        SSO, encryption, role-based access (deployment dependent)<\/p>\n\n\n\n

                                        Support & community:<\/strong>
                                        Active open-source community, enterprise support via Red Hat<\/p>\n\n\n\n

                                        \n\n\n\n

                                        7 \u2014 AtScale<\/h3>\n\n\n\n

                                        Short description:<\/strong>
                                        A semantic data federation platform focused on accelerating BI and analytics without moving data.<\/p>\n\n\n\n

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

                                          \n
                                        • Semantic modeling layer<\/li>\n\n\n\n
                                        • Query pushdown optimization<\/li>\n\n\n\n
                                        • Integration with BI tools<\/li>\n\n\n\n
                                        • Multi-source federation<\/li>\n\n\n\n
                                        • Governance and access controls<\/li>\n\n\n\n
                                        • Performance acceleration<\/li>\n<\/ul>\n\n\n\n

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

                                            \n
                                          • Excellent for BI acceleration<\/li>\n\n\n\n
                                          • Reduces need for data duplication<\/li>\n\n\n\n
                                          • Analyst-friendly approach<\/li>\n<\/ul>\n\n\n\n

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

                                              \n
                                            • Limited use beyond analytics workloads<\/li>\n\n\n\n
                                            • Less flexible for complex transformations<\/li>\n<\/ul>\n\n\n\n

                                              Security & compliance:<\/strong>
                                              SSO, encryption, role-based access, audit logs<\/p>\n\n\n\n

                                              Support & community:<\/strong>
                                              Good documentation, enterprise-focused support<\/p>\n\n\n\n

                                              \n\n\n\n

                                              8 \u2014 SAP HANA Smart Data Access<\/h3>\n\n\n\n

                                              Short description:<\/strong>
                                              A data federation capability within SAP HANA that enables real-time access to remote data sources.<\/p>\n\n\n\n

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

                                                \n
                                              • Virtual tables and remote data access<\/li>\n\n\n\n
                                              • Tight integration with SAP ecosystem<\/li>\n\n\n\n
                                              • Real-time query federation<\/li>\n\n\n\n
                                              • Advanced analytics support<\/li>\n\n\n\n
                                              • Data transformation capabilities<\/li>\n\n\n\n
                                              • High-performance in-memory processing<\/li>\n<\/ul>\n\n\n\n

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

                                                  \n
                                                • Seamless for SAP-centric environments<\/li>\n\n\n\n
                                                • Strong real-time performance<\/li>\n\n\n\n
                                                • Enterprise-grade reliability<\/li>\n<\/ul>\n\n\n\n

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

                                                    \n
                                                  • Less attractive outside SAP ecosystem<\/li>\n\n\n\n
                                                  • Licensing complexity<\/li>\n<\/ul>\n\n\n\n

                                                    Security & compliance:<\/strong>
                                                    Enterprise-grade security, role-based access, audit logs<\/p>\n\n\n\n

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

                                                    \n\n\n\n

                                                    9 \u2014 Oracle Data Service Integrator<\/h3>\n\n\n\n

                                                    Short description:<\/strong>
                                                    An enterprise data federation and integration solution designed for Oracle-centric environments.<\/p>\n\n\n\n

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

                                                      \n
                                                    • Unified data access across Oracle systems<\/li>\n\n\n\n
                                                    • SQL-based federation<\/li>\n\n\n\n
                                                    • Metadata-driven architecture<\/li>\n\n\n\n
                                                    • Integration with analytics and BI<\/li>\n\n\n\n
                                                    • Strong transactional support<\/li>\n\n\n\n
                                                    • Enterprise scalability<\/li>\n<\/ul>\n\n\n\n

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

                                                        \n
                                                      • Deep integration with Oracle stack<\/li>\n\n\n\n
                                                      • Reliable enterprise performance<\/li>\n\n\n\n
                                                      • Mature tooling<\/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 for non-Oracle ecosystems<\/li>\n<\/ul>\n\n\n\n

                                                          Security & compliance:<\/strong>
                                                          Enterprise security, encryption, audit logging<\/p>\n\n\n\n

                                                          Support & community:<\/strong>
                                                          Enterprise-level support, limited community outside Oracle users<\/p>\n\n\n\n

                                                          \n\n\n\n

                                                          10 \u2014 Google BigQuery Omni (Federated Query)<\/h3>\n\n\n\n

                                                          Short description:<\/strong>
                                                          A cloud-native data federation capability that enables querying data across multiple cloud environments.<\/p>\n\n\n\n

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

                                                            \n
                                                          • Cross-cloud federated queries<\/li>\n\n\n\n
                                                          • Serverless architecture<\/li>\n\n\n\n
                                                          • Integration with cloud analytics<\/li>\n\n\n\n
                                                          • High scalability<\/li>\n\n\n\n
                                                          • Minimal infrastructure management<\/li>\n\n\n\n
                                                          • Real-time insights<\/li>\n<\/ul>\n\n\n\n

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

                                                              \n
                                                            • Excellent for multi-cloud analytics<\/li>\n\n\n\n
                                                            • No infrastructure overhead<\/li>\n\n\n\n
                                                            • Strong performance for large datasets<\/li>\n<\/ul>\n\n\n\n

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

                                                                \n
                                                              • Cloud-dependent<\/li>\n\n\n\n
                                                              • Pricing may vary by usage<\/li>\n<\/ul>\n\n\n\n

                                                                Security & compliance:<\/strong>
                                                                Encryption, IAM-based access, audit logs, GDPR<\/p>\n\n\n\n

                                                                Support & community:<\/strong>
                                                                Strong documentation, enterprise cloud support<\/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>
                                                                Denodo<\/td>Enterprise data virtualization<\/td>Cloud, On-prem<\/td>Advanced optimization & governance<\/td>N\/A<\/td><\/tr>
                                                                Starburst<\/td>Large-scale analytics<\/td>Cloud, Hybrid<\/td>Distributed SQL performance<\/td>N\/A<\/td><\/tr>
                                                                Dremio<\/td>Lakehouse analytics<\/td>Cloud, On-prem<\/td>Query acceleration<\/td>N\/A<\/td><\/tr>
                                                                TIBCO Data Virtualization<\/td>Complex enterprise integration<\/td>Hybrid<\/td>Governance & integration<\/td>N\/A<\/td><\/tr>
                                                                IBM Cloud Pak for Data<\/td>Large enterprises<\/td>Hybrid, Cloud<\/td>Integrated data & AI<\/td>N\/A<\/td><\/tr>
                                                                Red Hat JBoss DV<\/td>Developer-centric federation<\/td>Hybrid<\/td>Open-source flexibility<\/td>N\/A<\/td><\/tr>
                                                                AtScale<\/td>BI acceleration<\/td>Cloud, Hybrid<\/td>Semantic modeling<\/td>N\/A<\/td><\/tr>
                                                                SAP HANA SDA<\/td>SAP ecosystems<\/td>On-prem, Cloud<\/td>In-memory federation<\/td>N\/A<\/td><\/tr>
                                                                Oracle Data Service Integrator<\/td>Oracle environments<\/td>On-prem, Cloud<\/td>Oracle stack integration<\/td>N\/A<\/td><\/tr>
                                                                BigQuery Omni<\/td>Multi-cloud analytics<\/td>Cloud<\/td>Cross-cloud federation<\/td>N\/A<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
                                                                \n\n\n\n

                                                                Evaluation & Scoring of Data Federation Platforms<\/h2>\n\n\n\n
                                                                Criteria<\/th>Weight<\/th>Notes<\/th><\/tr><\/thead>
                                                                Core features<\/td>25%<\/td>Federation depth, optimization, modeling<\/td><\/tr>
                                                                Ease of use<\/td>15%<\/td>UI, self-service, learning curve<\/td><\/tr>
                                                                Integrations & ecosystem<\/td>15%<\/td>Connectors, BI, cloud services<\/td><\/tr>
                                                                Security & compliance<\/td>10%<\/td>Access control, audit, compliance<\/td><\/tr>
                                                                Performance & reliability<\/td>10%<\/td>Query speed, stability<\/td><\/tr>
                                                                Support & community<\/td>10%<\/td>Documentation, vendor support<\/td><\/tr>
                                                                Price \/ value<\/td>15%<\/td>Cost vs capabilities<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
                                                                \n\n\n\n

                                                                Which Data Federation Platforms Tool Is Right for You?<\/h2>\n\n\n\n
                                                                  \n
                                                                • Solo users \/ small teams:<\/strong> Lightweight or cloud-native federation tools<\/li>\n\n\n\n
                                                                • SMBs:<\/strong> Tools balancing cost and usability with moderate governance<\/li>\n\n\n\n
                                                                • Mid-market:<\/strong> Platforms offering scalability and BI integration<\/li>\n\n\n\n
                                                                • Enterprises:<\/strong> Full-featured solutions with governance and compliance<\/li>\n<\/ul>\n\n\n\n

                                                                  Budget-conscious teams may prefer open or cloud-native options<\/strong>, while regulated industries should prioritize security, auditing, and compliance<\/strong>. Feature depth matters for complex analytics, while ease of use is critical for self-service teams.<\/p>\n\n\n\n

                                                                  \n\n\n\n

                                                                  Frequently Asked Questions (FAQs)<\/h2>\n\n\n\n

                                                                  1. What is a Data Federation Platform?<\/strong>
                                                                  A platform that provides unified access to data across multiple sources without copying the data.<\/p>\n\n\n\n

                                                                  2. How is data federation different from ETL?<\/strong>
                                                                  Federation queries data in place, while ETL moves and transforms data into a target system.<\/p>\n\n\n\n

                                                                  3. Does data federation replace data warehouses?<\/strong>
                                                                  No, it complements them by enabling real-time access and reducing unnecessary data movement.<\/p>\n\n\n\n

                                                                  4. Is performance slower than replicated data?<\/strong>
                                                                  Modern platforms use caching and optimization to achieve near-warehouse performance.<\/p>\n\n\n\n

                                                                  5. Are these tools secure?<\/strong>
                                                                  Most enterprise tools support encryption, SSO, and auditing.<\/p>\n\n\n\n

                                                                  6. Can data federation work in real time?<\/strong>
                                                                  Yes, many platforms are designed for real-time or near real-time queries.<\/p>\n\n\n\n

                                                                  7. What skills are needed to use these tools?<\/strong>
                                                                  SQL knowledge, data modeling, and basic data architecture skills.<\/p>\n\n\n\n

                                                                  8. Are open-source options viable?<\/strong>
                                                                  Yes, but they often require more technical expertise to manage.<\/p>\n\n\n\n

                                                                  9. How do pricing models work?<\/strong>
                                                                  Pricing varies by users, query volume, or deployment model.<\/p>\n\n\n\n

                                                                  10. What are common mistakes when adopting data federation?<\/strong>
                                                                  Ignoring governance, underestimating query complexity, and poor source optimization.<\/p>\n\n\n\n

                                                                  \n\n\n\n

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

                                                                  Data Federation Platforms play a critical role in modern data architectures by reducing data silos, improving agility, and enabling faster insights<\/strong>. The right choice depends on your organization\u2019s size, data complexity, performance needs, and compliance requirements.<\/p>\n\n\n\n

                                                                  There is no single \u201cbest\u201d platform for everyone. Enterprises may prioritize governance and scalability, while smaller teams may value simplicity and cost efficiency. By carefully evaluating features, integrations, security, and long-term value, organizations can select a data federation solution that truly aligns with their business goals.<\/p>\n","protected":false},"excerpt":{"rendered":"

                                                                  Introduction Data Federation Platforms are designed to unify access to data spread across multiple systems without physically moving it. Instead of copying data into a central warehouse or lake, these platforms create a virtual data layer that allows users to query, analyze, and integrate data in real time from diverse sources such as databases, cloud…<\/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":[23327,23328,23326,23314,23332,23329,23312,23330,23325,23324,23317,23315,23331,18826],"class_list":["post-58180","post","type-post","status-publish","format-standard","hentry","category-best-tools","tag-cloud-data-federation","tag-data-federation-architecture","tag-data-federation-platforms","tag-data-federation-software","tag-data-federation-vs-etl","tag-data-virtualization-platform-comparison","tag-data-virtualization-tools","tag-distributed-data-query","tag-enterprise-data-federation","tag-federated-data-access","tag-hybrid-data-integration","tag-logical-data-layer","tag-multi-source-data-analytics","tag-real-time-data-integration-2"],"_links":{"self":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/58180","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=58180"}],"version-history":[{"count":1,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/58180\/revisions"}],"predecessor-version":[{"id":58182,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/posts\/58180\/revisions\/58182"}],"wp:attachment":[{"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/media?parent=58180"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/categories?post=58180"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.devopsschool.com\/blog\/wp-json\/wp\/v2\/tags?post=58180"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}