Exasol

What is Exasol?

Do you want to speed up your current BI platform or business analytics? Do you want to predict complex correlations using predictive analytics? Or do you need to ensure large numbers of your users have access to BI applications and analytics in general?

If you would like to offer your organisation really useful “big data” solutions, then Exasol is for you – it’s the platform that allows you to deliver value fast, easily and affordably.

The Technology

The features

As a data warehouse and analytics engine, either standalone or integrated with Hadoop, Exasol is being used in a wide range of Big Data use cases, including accelerating standard reporting, running multi-user ad-hoc analytics, and performing complex modelling using predictive in-database analytics.

Key benefits

  • Fast access to all data sources via its data virtualization framework to provide access quickly to new data sources.
  • Flexible and can be integrated into various business models; deployed either as software only, as an appliance or in the Cloud.
  • Comprehensive Hadoop integration which makes structured and unstructured data analysis easy.
  • Advanced in-database analytics using R, Python, Lua and Java.
  • Advanced connectivity, including a web socket based SQL interface.

From the moment we started using Exasol, we found it to be simple and easy to use. Not only that, it’s outrageously fast. We started by writing queries on 12 years of data and they completed so quickly that we questioned whether the database was working. It was. It’s accurate, you plug it in, it works. It gets past the bumpiness of balancing loads and ingesting data to give you near-real-time results.

Simon Sleight
Exasol Trainer and Data Scientist
KETL

About Exasol

Exasol was founded in Nuremberg, Germany with a single purpose – to engineer the world’s fastest database for analytics, with no limits on data volumes. For more than a decade, the company has focused exclusively on delivering ultra-fast, massively scalable, analytic performance.