A good solution to this problem is EXASOL, worlds fastest in-memory, high-performance (Massive Parallel Processing or MPP), analytic database which is designed for big data analytics. EXASOL makes large volumes of data analysis in rel-time possible, which helps you to accelerate your Business Intelligence and Analytics applications. EXASOL is ideally suited for real-time big data reporting, analysis, and advanced analytics.
EXASOL deploys two techniques together : Massive Parallel Processing (MPP) which enables clusters of hardware running EXASOL to achieve the task and in-memory analytics. The database also deploys columnar data compression and storage.
Like a standard RDBMS, EXASOL uses a standard SQL interfaces avoiding the trap of NoSQL skill shortages and easy compatibility with pre-existing applications and data structures.
In below video, you can see how EXASOL can speed up Tableau. The example shows how data residing in two large tables (2.5 billion and 24 billion rows) can be analyzed in Tableau. Tableau has a connector to EXASOL.
EXASOLs in-memory technology enables large amounts of data to be processed in RAM which is significantly faster than processing data residing on hard disk. EXASOL also deploys column-based storage and compression to reduce the number of I/O operations and amount of data needed for processing in main memory and accelerates analytical performance. And Massively Parallel Processing (MPP) enables queries to be distributed across all nodes in a cluster using optimized, parallel algorithms that process data locally in each node’s main memory. The EXASOL intelligent database is self-optimizing and tuning-free. It gives you more time to focus on analytics and insights, not administration.
EXASOL also enables in database analytics. It supports R, Python, Java, Lua or your preferred programming language to build analytic applications to unearth key insights.
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