CHAOSSEARCH vs Stroom

CHAOSSEARCH vs Stroom: What are the differences?

What is CHAOSSEARCH? A cloud-native search analytics platform on object storage. It is a cloud-native search analytics platform on object storage. It uniquely decouples storage from compute (zero local storage) and gives you an entirely new way to store, index, and execute your queries at any scale - from terabytes to petabytes and beyond!

We enable you to streamline and automate your data management process within your own S3 account — no data movement, transformation, or schema definition.

What is Stroom? A scalable data storage, processing and analysis platform. It is a data processing, storage and analysis platform. It is scalable - just add more CPUs / servers for greater throughput. It is suitable for processing high volume data such as system logs, to provide valuable insights into IT performance and usage.

CHAOSSEARCH can be classified as a tool in the "Log Management" category, while Stroom is grouped under "Big Data Tools".

Some of the features offered by CHAOSSEARCH are:

• Amazon S3 and Elasticsearch API support
• Fully integrated Kibana visualization with enhancements
• Backed by Amazon S3 — never move your data

On the other hand, Stroom provides the following key features:

• Receive and store large volumes of data such as native format logs. Ingested data is always available in its raw form
• Create sequences of XSL and text operations, in order to normalise or export data in any format. It is possible to enrich data using lookups and reference data
• Easily add new data formats and debug the transformations if they don't work as expected

Stroom is an open source tool with 294 GitHub stars and 32 GitHub forks. Here's a link to Stroom's open source repository on GitHub.