What is Stroom?
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.
Stroom is a tool in the Big Data Tools category of a tech stack.
Stroom is an open source tool with 423 GitHub stars and 56 GitHub forks. Here’s a link to Stroom's open source repository on GitHub
Who uses Stroom?
Developers
Stroom Integrations
Stroom's 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
- Create multiple indexes with different retention periods. These can be sharded across your cluster
- Run queries against your indexes or statistics and view the results within custom visualisations
- Record counts or values of items over time
Stroom Alternatives & Comparisons
What are some alternatives to Stroom?
JavaScript
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Git
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GitHub
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Python
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jQuery
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