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Live installations

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Nodes running on

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Petabytes of data processed

Our solution is based on StreamSets
open source project.


We continue contributing to the open source project, build our own connectors and management tools,
and help our clients quickly set-up new data flows.

Design your next data connector with drag-n-drop visual editor

The right tool for the agile world of ever changing APIs and business requirements.

Now you can build new data connectors and change your data cleansing and transformation rules with no need to involve engineering resource or plan new projects.

The default installation and editor come with dozens of ready to go connectors to popular APIs and data stores that you can use right away.

Our data experts can quickly add components and rules to manage the data and rules for your business.

Add new data & transformation rules in minutes! Not weeks.

Stream or Batch

The modern data connector is designed to pull data from any source:

  • Logs Tail
  • APIs
  • Streams
  • DBs
  • Kafka
  • Spark
  • Hadoop
  • Kenesis
  • S3
  • Redis
  • Rabbit MQ
  • FTP
  • UDP
  • MapR Streams

Pass the data down the pipeline to Spark Streaming or Flink processing, or store the result batches on HDFS

Real-Time Monitoring and Control

  • Get real-time data flow statistics for each stage and each rule.
  • Set-Up automated alerts for any data drift using sampling and threshold rules.
  • Add exceptions to handling rules to re-process or recover from unexpected problems in the data source.
  • Capture detailed metadata for farther reports and analysis.

Get less surprises! Stay informed on any problem and constantly optimize your data driven business.

Built for Scale and Agility

  • Get real-time data flow statistics for each stage and each rule.
  • Set-Up automated alerts for any data drift using sampling and threshold rules.
  • Add exceptions handling rules to re-process or recover from unexpected problems in the data source.
  • Capture detailed metadata for farther reports and analysis.