Best Data Extraction Software for SAP HANA

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

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

  • 1
    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.
  • 2
    Astera ReportMiner Reviews
    Astera ReportMiner, a data extraction platform, provides users with a complete solution to data integration and ingestion. ReportMiner allows users to extract business data from TXT, PDF, and DOC files. ReportMiner offers business rules-based data quality assurance, data cleansing, transformation, and loading into a variety of databases platforms.
  • 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
    Hyland RPA Reviews
    Hyland RPA is an end-to-end automation suite designed to empower an enterprise in the digital transformation journey by automating tasks and streamlining the overall business processes implementation. It features Hyland RPA Attended Automation , which puts the power of task automation in the hands of the business user, enabling the user to remain engaged in the core business process or application while Attended Automation digital assistant performs related required tasks
  • 5
    Data Virtuality Reviews
    Connect and centralize data. Transform your data landscape into a flexible powerhouse. Data Virtuality is a data integration platform that allows for instant data access, data centralization, and data governance. Logical Data Warehouse combines materialization and virtualization to provide the best performance. For high data quality, governance, and speed-to-market, create your single source data truth by adding a virtual layer to your existing data environment. Hosted on-premises or in the cloud. Data Virtuality offers three modules: Pipes Professional, Pipes Professional, or Logical Data Warehouse. You can cut down on development time up to 80% Access any data in seconds and automate data workflows with SQL. Rapid BI Prototyping allows for a significantly faster time to market. Data quality is essential for consistent, accurate, and complete data. Metadata repositories can be used to improve master data management.
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB