Best Data Fabric Software for SAP HANA

Find and compare the best Data Fabric software for SAP HANA in 2026

Use the comparison tool below to compare the top Data Fabric software for SAP HANA on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    SCIKIQ Reviews
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    Recognized as one of the Top 34 AI-Enhanced platforms worldwide by Forrester and listed among India's Top 10 DeepTech firms in AI & Analytics by NASSCOM, SCIKIQ stands out as an AI-first Enterprise Data Fabric developed from the ground up for AI applications. SCIKIQ establishes a cohesive, intelligent data framework that integrates seamlessly with SAP, databases, data warehouses, data lakes, cloud services, APIs, and enterprise applications—eliminating the need for migration, replatforming, or overhauling the current data infrastructure. The SCIKIQ Data Fabric encompasses a comprehensive suite of features, including Data Integration, ETL/ELT processes, Data Pipelines, Data Quality assurance, Data Governance, Data Cataloging, Metadata Management, Data Lineage tracking, Master Data Management, Data Observability, and Data Semantics. Its cutting-edge Data Semantics approach links technical data to business context, key performance indicators (KPIs), relationships, and meanings, thus establishing a robust, AI-ready data foundation for enterprises. Designed specifically for Data Fabric, Data Management, Business Intelligence, Analytics, Generative AI, and Agentic AI applications.
  • 2
    Dataddo Reviews

    Dataddo

    Dataddo

    $99/source/month
    Dataddo is an enterprise-grade data integration solution engineered to mitigate the operational risks inherent in data movement. Serving as a centralized connectivity backbone, the platform provides a fully managed layer that bridges the gap between any SaaS, database, or file source and your chosen destination—including AI agents. The platform excels by automating the heavy lifting; it proactively manages API updates, schema drift, and the protection of sensitive information. This ensures granular transparency across even the most intricate data flows, whether they reside on-premise, in the cloud, or in hybrid environments. By shifting the perspective of data movement from a "one-off project" to mission-critical infrastructure, Dataddo empowers engineering teams to achieve maximum reliability and redirect their focus toward high-impact AI initiatives rather than tedious pipeline maintenance.
  • 3
    Querona Reviews
    We make BI and Big Data analytics easier and more efficient. Our goal is to empower business users, make BI specialists and always-busy business more independent when solving data-driven business problems. Querona is a solution for those who have ever been frustrated by a lack in data, slow or tedious report generation, or a long queue to their BI specialist. Querona has a built-in Big Data engine that can handle increasing data volumes. Repeatable queries can be stored and calculated in advance. Querona automatically suggests improvements to queries, making optimization easier. Querona empowers data scientists and business analysts by giving them self-service. They can quickly create and prototype data models, add data sources, optimize queries, and dig into raw data. It is possible to use less IT. Users can now access live data regardless of where it is stored. Querona can cache data if databases are too busy to query live.
  • 4
    Delphix Reviews
    Delphix is the industry leader for DataOps. It provides an intelligent data platform that accelerates digital change for leading companies around world. The Delphix DataOps Platform supports many systems, including mainframes, Oracle databases, ERP apps, and Kubernetes container. Delphix supports a wide range of data operations that enable modern CI/CD workflows. It also automates data compliance with privacy regulations such as GDPR, CCPA and the New York Privacy Act. Delphix also helps companies to sync data between private and public clouds, accelerating cloud migrations and customer experience transformations, as well as the adoption of disruptive AI technologies.
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