As an in-memory computing platform, SAP HANA enables you to process massive amounts of data in real time so you can deliver information to the key decision makers in your company at unprecedented speeds. The technology also simplifies your technology stack by reducing the multiple layers of hardware and software complexity. And because user experiences become simpler, SAP HANA enables faster

innovation and more efficient business processes.

SAP HANA also empowers you to capitalize on applications that can help you run your business in new ways. One such example is Hadoop—the open-source software framework from SAS for storing and processing big data in a distributed fashion on large clusters of commodity hardware. By integrating SAP HANA with Hadoop, enterprises can lower the TCO of their big data analytics solution.

At a very high level, this is how it works: data from multiple sources can first be uploaded into Hadoop, which features free licensing and can serve as the data warehouse in which to store massive amounts of data. You can then extract the data from Hadoop into SAP HANA, which now features built-in Hadoop connectivity. Within SAP HANA, the decision makers at your company can then instantly run any analytic reports they require.

By leveraging SAP HANA-Hadoop connectivity, enterprises reduce their overall software licensing costs while still enjoying lightning-fast analysis. That’s because using Hadoop as an intermediary between SAP HANA and your primary data sources requires less memory—the primary factor on which SAP HANA licensing is based.

For more information on how SAP HANA can play a key role in your big data analytics solution, check out this  .