Apache Spark and the Lightbend Reactive Platform: A Match Made in Heaven

Spark has emerged as the next-generation platform for writing Big Data applications for Hadoop and Mesos clusters. Part of Spark’s success is due to the foundation it is built upon, components of the Typesafe Reactive Platform.

When we started Spark, we had two goals — we wanted to work with the Hadoop ecosystem, which is JVM-based, and we wanted a concise programming interface... On the JVM, the only language that would offer that kind of API was Scala, due to its ability to capture functions and ship them across the network. Scala’s static typing also made it much easier to control performance.

Matei ZahariaCreator of Spark & co-founder Databricks

Case Study Archive

Apache Spark and the Lightbend Reactive Platform: A Match Made in Heaven

Spark has emerged as the next-generation platform for writing Big Data applications for Hadoop and Mesos clusters. Part of Spark’s success is due to the foundation it is built upon, components of the Typesafe Reactive Platform.

Talk to an Expert

Tell us what you’re building, and we’ll
tell you how we can help.

Case Study Archive

Apache Spark and the Lightbend Reactive Platform: A Match Made in Heaven

Spark has emerged as the next-generation platform for writing Big Data applications for Hadoop and Mesos clusters. Part of Spark’s success is due to the foundation it is built upon, components of the Typesafe Reactive Platform.

Talk to an Expert

Tell us what you’re building, and we’ll tell you how we can help.

Tell us what you’re building, and we’ll
tell you how we can help.