Understanding Extreme OLAP with Apache Kylin

Find out why Kylin's augmented take on traditional OLAP has revolutionized the way enterprises work with massive datasets.

See Extreme OLAP in Action

Learn how this new approach to OLAP enables unmatched scalability and query speeds for analytics on Big Data.

OLAP technology that redefines what's possible

Discover what it means to have truly fast business intelligence (BI) at your disposal. With Extreme OLAP, slow queries on Big Data are a thing of the past. If you're looking for a way to overcome the challenge of generating insights from massive datasets, extreme OLAP is your way forward.

Take the next step towards building an analytics environment that can deliver instant insights to your analysts. This guide compares the two leading Extreme OLAP solutions, Apache Kylin and Kyligence, so you can make the best choice for your BI needs.

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Make the right choice when it comes to OLAP on Big Data

For enterprises working with massive data volumes and who desire a higher level of service, security controls, and other sophisticated capabilities to support their analytics work on-premises and on the Cloud, an open source OLAP solution like Apache Kylin may not be able to fully meet their needs.

If your BI requirements are more complex or ultra-high performance and concurrency for every tool and on any operating system is a priority, Kyligence Augmented OLAP may be a better option. This comparison guide for Apache Kylin and Kyligence can help you decide between these two solutions. It includes: