The Data processing service for OpenStack (sahara) aims to provide users with a simple means to provision data processing (Hadoop, Spark) clusters by specifying several parameters like Hadoop version, cluster topology, node hardware details and a few more. After a user fills in all the parameters, the Data processing service deploys the cluster in a few minutes. Sahara also provides a means to scale already provisioned clusters by adding/removing worker nodes on demand. The solution addresses the following use cases: Fast provisioning of Hadoop clusters on OpenStack for development and QA. Utilization of unused compute power from general purpose OpenStack IaaS cloud. Analytics-as-a-Service for ad-hoc or bursty analytic workloads. Key features are: Designed as an OpenStack component. Managed through REST API with UI available as part of OpenStack dashboard. Support for different Hadoop distributions: Pluggable system of Hadoop installation engines. Integration with vendor specific management tools, such as Apache Ambari or Cloudera Management Console. Predefined templates of Hadoop configurations with the ability to modify parameters. User-friendly UI for ad-hoc analytics queries based on Hive or Pig.