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An end-to-end platform for smart data pipelines
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What is StreamSets?

An end-to-end data integration platform to build, run, monitor and manage smart data pipelines that deliver continuous data for DataOps.
StreamSets is a tool in the Message Queue category of a tech stack.

Who uses StreamSets?

3 companies reportedly use StreamSets in their tech stacks, including Leveris, bigspark, and VnTravel.

46 developers on StackShare have stated that they use StreamSets.

StreamSets Integrations

JavaScript, MySQL, PostgreSQL, MongoDB, and Redis are some of the popular tools that integrate with StreamSets. Here's a list of all 41 tools that integrate with StreamSets.

StreamSets's Features

  • Only StreamSets provides a single design experience for all design patterns (batch, streaming, CDC, ETL, ELT, and ML pipelines) for 10x greater developer productivity
  • smart data pipelines that are resilient to change for 80% less breakages
  • and a single pane of glass for managing and monitoring all pipelines across hybrid and cloud architectures to eliminate blind spots and control gaps.

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.
Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.
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
132 developers follow StreamSets to keep up with related blogs and decisions.