SAP puts Hana at the center of analysis

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SAP puts Hana at the center of analysis Analytical DBMSs: SAP Hana, SAP IQ. In-memory DBMS: SAP Hana. Stream-analysis option: SAP Event Stream Processing. Hadoop distribution: Resells and supports Hortonworks, Intel; Hadoop integrations certified by Cloudera and MapR. Hardware/software systems: Multiple hardware configuration partners include Dell, Cisco, Fujitsu, Hitachi, HP, and IBM. Whether data sources are structured or unstructured, batch or streaming, large or small, SAP invariably puts forward its Hana in-memory platform as the answer to all needs -- whether analytic or transactional. When data is truly big or unstructured, SAP supports various Hadoop distributions, with Hana accessing data through Hive. When data needs to be archived for long-term historical analysis, SAP IQ (formerly Sybase IQ) offers a compressed, columnar DBMS adapted to support MapReduce processing as a SQL-based alternative to Hadoop. Hana has a built-in predictive analytics library, R language support, spatial processing, natural language processing, and text analytics libraries. If need be, text and unstructured data analyses can be pushed down into Hadoop using SAP Data Services. Result sets can be returned to Hana for fast, in-memory analysis. There are times when SAP seems tone deaf, incessantly promoting 'real-time' whether there's a clear need for that level of performance or not. The upside of investing with SAP is that it's ahead of the curve on low-latency analysis with Hana as well as fast data-loading and stream-processing capabilities (the latter gained through the acquisition of Sybase). When you've spotted a clear opportunity for breakthrough, low-latency performance, SAP has the tools to take you there.
SAP puts Hana at the center of analysis

Analytical DBMSs: SAP Hana, SAP IQ.
In-memory DBMS: SAP Hana.
Stream-analysis option: SAP Event Stream Processing.
Hadoop distribution: Resells and supports Hortonworks, Intel; Hadoop integrations certified by Cloudera and MapR.
Hardware/software systems: Multiple hardware configuration partners include Dell, Cisco, Fujitsu, Hitachi, HP, and IBM.
Whether data sources are structured or unstructured, batch or streaming, large or small, SAP invariably puts forward its Hana in-memory platform as the answer to all needs -- whether analytic or transactional. When data is truly big or unstructured, SAP supports various Hadoop distributions, with Hana accessing data through Hive. When data needs to be archived for long-term historical analysis, SAP IQ (formerly Sybase IQ) offers a compressed, columnar DBMS adapted to support MapReduce processing as a SQL-based alternative to Hadoop.
Hana has a built-in predictive analytics library, R language support, spatial processing, natural language processing, and text analytics libraries. If need be, text and unstructured data analyses can be pushed down into Hadoop using SAP Data Services. Result sets can be returned to Hana for fast, in-memory analysis.
There are times when SAP seems tone deaf, incessantly promoting "real-time" whether there's a clear need for that level of performance or not. The upside of investing with SAP is that it's ahead of the curve on low-latency analysis with Hana as well as fast data-loading and stream-processing capabilities (the latter gained through the acquisition of Sybase). When you've spotted a clear opportunity for breakthrough, low-latency performance, SAP has the tools to take you there.

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