Definition of In-Database Analytics

What does is it mean and how is it used

What is In-Database Analytics? 

In-database analytics is where data processing is performed within a database. So the analytic logic is built into a database instead of in a separate application.

Why use In-Database Analytics?

The main advantages of in-database analytics include parallel processing, scalability, analytic optimization and partitioning. Plus, it removes the overhead of moving large data sets to analytic applications

Latest In-Database Analytics Insights

White Paper: Kiss Goodbye to Expensive Upgrades

Considering purchasing costly hardware updates to replace your old, slow system? By leveraging new technologies as in-memory databases, a cost-efficient option is presented to step ahead of your competition.

Don’t waste money on costly hardware >

The World’s Fastest In-Memory Analytic Database

Introducing the fastest in-memory database. Exasol utilizes state-of-the-art software techniques and principles, is quick to implement and delivers extreme performance, without high costs and complexity.

Read more on the fastest in-memory database >

5 Things to Consider While Looking For An In-Memory Analytic Database

Say goodbye to slow queries with a new in-memory database. But how should you pick the most suitable one? Read about the five things you should consider for your search.

Read the 5 things to consider >

Interested in learning more?

Whether you’re looking for more information about our fast, in-memory database, or to discover our latest insights, case studies, video content and blogs and to help guide you into the future of data.