Technology solution "Database-embedded analytics based on Exasol"
ATK
Technological
Analytics built into the database
Platforms:
Exasol's architecture is designed so that you can do data science in the way that suits you best - perform advanced analytical tasks on large amounts of data interactively, right in the database. You can use R, Java, Python, Lua, or other programming languages that you are comfortable with. Exasol will maximize the speed of analytical queries thanks to massively parallel processing (MPP), columnar data storage, data compression, and in-memory query processing.
The ability to perform sophisticated, advanced analytics and predictive analytics on data from a variety of sources is a very important task to support your business. That said, current relational technologies for analytics are very limiting and slow down your advanced analytics specialists. Exasol can help you work with R, Python, and other advanced analytics languages right where big data is stored.
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Exasol provides a new system architecture that allows you to perform advanced analytic tasks on large amounts of data in an interactive format - directly in the database, using Data Science programming languages (R, Python, Java, Lua and others).
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Exasol executes the script in parallel on a cluster of servers, making Data Science computing easily accessible and affordable in terms of hardware costs
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Exasol has special open-source packages that allow you to integrate the EXASOL database directly into an R or Python environment.
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With Exasol you will be able to combine on one platform different teams and technologies used to solve all analytical tasks - both standard and advanced.
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Save on more expensive analytics tools
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Exasol provides a 360° view of your business - Exasol customers can predict future trends and needs with the accuracy that gives their business a distinct advantage
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Advanced analytics specialists will be able to deliver their discoveries in a format that is transparent to BI users
Providing robust analytics is very important to us, so a database with high scalability is very critical.
CTO, Blue Yonder
Jan Karstens