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We work with your choice of Data Lake

Hd Insight
Emr Amazon
Apache
Mapr
Horton Works
Cloudera
databricks

Jumbune is completely interoperable with your favorite existing Enterprise Data lake, as it’s offered features complements well with underlying enterprise data lake on-cloud, on-premise and hybrid.

Built for Integration

Rich API support

We have rich set of published APIs for complete functionality to be leveraged by your innovative solutions and applications.

Enterprise Grade

Embrace Jumbune to build seamlessly & easily integrate with your proprietary Big Data APM and Devops capabilities.

Easy to Integrate

Platform written to easily extend new APM, Devops & Dataops features to mature your Big Data and Cloud platform practices.

Extensible

Integrates with Enterprise Kerberos, Role based authorization module, application SLA with compliant deployment strategy.

Execute any workload faster

Apache Spark
Apache Tez
Apache Hive
Apache MapReduce
Apache Pig
Apache Spark
Apache Tez
spark sql
Coming Soon
Presto
Coming Soon
Apache Impala

Jumbune supports most of the preferred execution engines on YARN to analyze execution. Every individual workload execution - whether it's a Spark Job, Hive Query, Tez Application, MapReduce Job, Pig Latin, Cassandra metrics, Solr metrics or Spark SQL can now be profiled, analyzed for resource consumption and optimized by recommendations.

About Us
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Jumbune is a Machine Learning powered APM which helps to optimize and improve performance of Big Data applications running on Data Clouds and On-Premise clusters. It is enterprise-grade built on open source. It is highly scalable to optimize Big Data applications and clusters.