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Introduction

StreamSets, a company founded by veterans of Informatica, is stealing a page from Informatica's playbook by establishing a third-party ETL approach that is cloud- and data platform-independent.

Highlights

  • StreamSets has built a company around a core set of open source techniques for building batch and streaming data pipelines for processing data transformation jobs.

Features and Benefits

  • Dissects how StreamSets competes with cloud-based data pipelining services such as Amazon Kinesis, Azure Data Factory, and Google Cloud Dataflow.
  • Analyzes how StreamSets is extending its solution to support processing of IoT data.

Key questions answered

  • How has StreamSets adapted ETL to a new cloud-based, serverless architecture designed for processing real-time data streams?
  • How does StreamSets differentiate from established ETL data transformation hubs?

Table of contents

Summary

  • Catalyst
  • Key messages
  • Ovum view

Recommendations for enterprises

  • Why put StreamSets on your radar?

Highlights

  • Background
  • Current position

Data sheet

  • Key facts

Appendix

  • On the Radar
  • Further reading
  • Author

Recommended Articles

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