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.

Read the community story


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
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Welcome to the Lightbend Enterprise Suite


You are excited about Reactive applications. And you want to build, manage and monitor them easily and reliably in your environment.
We get it. So we built Lightbend Enterprise Suite to help you do that, and more, with a range of powerful Application Management, Intelligent Monitoring, Enterprise Integration and Advanced Tooling features.

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Welcome to the Lightbend Enterprise Suite


You are excited about Reactive applications. And you want to build, manage and monitor them easily and reliably in your environment.
We get it. So we built Lightbend Enterprise Suite to help you do that, and more, with a range of powerful Application Management, Intelligent Monitoring, Enterprise Integration and Advanced Tooling features.