Run analytics directly in the database – using any data science language
You can save time and gain invaluable insights across the entire organization by running statistical models on raw data, in the data science language you choose – straight from our database. Our unrivalled performance allows you to operationalize data science at speed, whether you choose a cloud-only, on-premises or hybrid approach.
How we can help you solve complex analytical challenges
Our architecture enables you to perform advanced analytical tasks on large volumes of data – right in the database. And we don’t impose limitations on you – it works with whatever data science programming language you’re using (including R, Python, Java, Lua).
We’ve also made it easy to bring Artificial Intelligence (AI) and Machine Learning (ML) algorithms and (BI) Business Intelligence, directly to where you keep your data. This means that you can solve complex analytical challenges like predictive analytics with the minimum of fuss.
Big Data Science – The future of analytics
We’re constantly adding new features for in-database analytical programming to meet the challenges of big data and interactive advanced analytics. This whitepaper ‘lifts the curtain’ on how we make this a reality –register now to find out how you can get started with big data science on our analytics database.
With Exasol you can run anything. It handles MicroStrategy’s SQL with ease and its extensibility is impressive; we use it to run Python, Java and C++ right there in the database.Artem Ivanov Director of Business Intelligence
Exasol and Tableau simplify our business operations considerably, and the fast analytics we can now do have already translated into a positive return on investment.Sebastian Ranzinger former Head of Business Intelligence at Kreditech Holding SSL GmbH
The number of users is rising steadily. With our ’Data University’ we are making sure that the employees keep improving the way they handle data. Exasol has become our key tool. Everything we do is based on the database.Martin Nguyen Director strategy, data and analytics at Flaconi
What's best for Analytics and Data Science: Cloud, On-premises or Hybrid
Learn how to get the most out of your data analytics no matter where you choose to deploy. Also, find out why you don’t need to centralize everything to do this with a single platform.
Find the answers on our webinar with GigaOm Research.
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