By
Hannah
HannahStreamSets
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 Databases category of a tech stack.
Key Features
Only StreamSets provides a single design experience for all design patterns (batch, streaming, CDC, ETL, ELT, and ML pipelines) for 10x greater developer productivitysmart data pipelines that are resilient to change for 80% less breakagesand a single pane of glass for managing and monitoring all pipelines across hybrid and cloud architectures to eliminate blind spots and control gaps.
StreamSets Pros & Cons
Pros of StreamSets
No pros listed yet.
Cons of StreamSets
- ✗No user community
- ✗Crashes
StreamSets Alternatives & Comparisons
What are some alternatives to StreamSets?
Kafka
Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
RabbitMQ
RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
NumPy
Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.
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.
