Global in-Memory OLAP Database Market to Grow 25% of CAGR by 2022 Key Players - Altibase, IBM, Microsoft, Oracle, SAP SE, Exasol, Jedox AG, Kognitio, Mcobject, MemSQL
In-memory OLAP is a way to load analysis data into memory for real-time calculation and query. Query execution (slicing and dicing in OLAP terminology) can be faster using relational online analysis processing (ROLAP), multidimensional OLAP (MOLAP), and hybrid systems because the data is loaded into memory. Because the data is in RAM, the system does not need to connect to a database or physical file that requires additional network operations and disk read / write operations.
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