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What is StreamSets?

The industry's first data operations platform for full life-cycle management of data in motion.
StreamSets is a tool in the Big Data Tools category of a tech stack.
StreamSets is an open source tool with GitHub stars and GitHub forks. Here’s a link to StreamSets's open source repository on GitHub

Who uses StreamSets?



Why developers like StreamSets?

Here’s a list of reasons why companies and developers use StreamSets
Top Reasons
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StreamSets's Features

  • Build Batch & Streaming Pipelines in Hours
  • Map and Monitor Runtime Performance
  • Protect Sensitive Data as it Arrives

StreamSets Alternatives & Comparisons

What are some alternatives to StreamSets?
It is an open source software integration platform helps you in effortlessly turning data into business insights. It uses native code generation that lets you run your data pipelines seamlessly across all cloud providers and get optimized performance on all platforms.
Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
Apache NiFi
An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.
RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
Apache Spark
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
See all alternatives

StreamSets's Followers
1 developers follow StreamSets to keep up with related blogs and decisions.
Alex Levit