Best Data Warehouse Software for SAP HANA

Compare the Top Data Warehouse Software that integrates with SAP HANA as of July 2025

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This a list of Data Warehouse software that integrates with SAP HANA. Use the filters on the left to add additional filters for products that have integrations with SAP HANA. View the products that work with SAP HANA in the table below.

What is Data Warehouse Software for SAP HANA?

Data warehouse software helps organizations store, manage, and analyze large volumes of data from different sources in a centralized, structured repository. These systems support the extraction, transformation, and loading (ETL) of data from multiple databases and applications into the warehouse, ensuring that the data is cleaned, formatted, and organized for business intelligence and analytics purposes. Data warehouse software typically includes features such as data integration, querying, reporting, and advanced analytics to help businesses derive insights from historical data. It is commonly used for decision-making, forecasting, and performance tracking, making it essential for industries like finance, healthcare, retail, and manufacturing. Compare and read user reviews of the best Data Warehouse software for SAP HANA currently available using the table below. This list is updated regularly.

1

datapine

RIB Software GmbH

datapine’s business intelligence and dashboard software helps people to turn data into actionable insights and make data-driven decisions in real-time. A user-friendly drag & drop interface empowers managers to data scientists to visualize and analyze complex data by asking important business questions and receiving answers immediately. It offers a wealth of innovative analytics features like predictive analytics and dynamic, interactive business dashboards for modern, KPI driven businesses. Dozens of fast and easy data connectors to all common data sources (databases, flat files, social media, marketing analytics, CRM, ERP, helpdesk etc.) and a wealth of pre-build dashboard templates for different business functions (marketing, sales, management, HR etc.), industries (retail, logistics, healthcare, market research etc.) and platforms (Google Analytics, Facebook, Twitter, Zendesk etc.) help new users to get started quickly. datapine is a RIB Software GmbH solution.

3 Ratings

Starting Price: $249.00/month

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2

SAP Data Warehouse Cloud

SAP

Connect data with business context and empower business users to unlock insights with our unified data and analytics cloud solution. SAP Data Warehouse Cloud unifies data and analytics in a cloud solution that includes data integration, database, data warehouse, and analytics capabilities to help you unleash the data-driven enterprise. Built on the SAP HANA Cloud database, this software-as-a-service (SaaS) empowers you to better understand your business data and make confident decisions based on real-time information. Connect data across multi-cloud and on-premises repositories in real-time while preserving the business context. Get insights on real-time data and analyze data with in-memory speed, powered by SAP HANA Cloud. Empower all users with self-service ability to connect, model, visualize and share their data securely, all in an IT governed environment. Leverage pre-built industry and LOB content, templates and data models.

1 Rating

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3

Querona

YouNeedIT

We make BI & Big Data analytics work easier and faster. Our goal is to empower business users and make always-busy business and heavily loaded BI specialists less dependent on each other when solving data-driven business problems. If you have ever experienced a lack of data you needed, time to consuming report generation or long queue to your BI expert, consider Querona. Querona uses a built-in Big Data engine to handle growing data volumes. Repeatable queries can be cached or calculated in advance. Optimization needs less effort as Querona automatically suggests query improvements. Querona empowers business analysts and data scientists by putting self-service in their hands. They can easily discover and prototype data models, add new data sources, experiment with query optimization and dig in raw data. Less IT is needed. Now users can get live data no matter where it is stored. If databases are too busy to be queried live, Querona will cache the data.

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4

Lyftrondata

Lyftrondata

Whether you want to build a governed delta lake, data warehouse, or simply want to migrate from your traditional database to a modern cloud data warehouse, do it all with Lyftrondata. Simply create and manage all of your data workloads on one platform by automatically building your pipeline and warehouse. Analyze it instantly with ANSI SQL, BI/ML tools, and share it without worrying about writing any custom code. Boost the productivity of your data professionals and shorten your time to value. Define, categorize, and find all data sets in one place. Share these data sets with other experts with zero codings and drive data-driven insights. This data sharing ability is perfect for companies that want to store their data once, share it with other experts, and use it multiple times, now and in the future. Define dataset, apply SQL transformations or simply migrate your SQL data processing logic to any cloud data warehouse.

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5

Data Virtuality

Data Virtuality

Connect and centralize data. Transform your existing data landscape into a flexible data powerhouse. Data Virtuality is a data integration platform for instant data access, easy data centralization and data governance. Our Logical Data Warehouse solution combines data virtualization and materialization for the highest possible performance. Build your single source of data truth with a virtual layer on top of your existing data environment for high data quality, data governance, and fast time-to-market. Hosted in the cloud or on-premises. Data Virtuality has 3 modules: Pipes, Pipes Professional, and Logical Data Warehouse. Cut down your development time by up to 80%. Access any data in minutes and automate data workflows using SQL. Use Rapid BI Prototyping for significantly faster time-to-market. Ensure data quality for accurate, complete, and consistent data. Use metadata repositories to improve master data management.

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