Changefeed vs Stroom
Overview
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CLI (Node.js)
Manual
Detailed Comparison
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. | It makes it easy to keep and manage a changelog for your products. Keep your users up to date and engaged with every update your team ships. |
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 | Quickly compile updates; Manage all your changelogs; Built-in newsletter support; Integrate with thousands of apps |
Statistics | |
GitHub Stars 452 | GitHub Stars - |
GitHub Forks 62 | GitHub Forks - |
Stacks 1 | Stacks 1 |
Followers 3 | Followers 5 |
Votes 0 | Votes 0 |
Integrations | |
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