Coralogix vs Stroom
Overview
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CLI (Node.js)
Manual
Detailed Comparison
Coralogix is a stateful streaming data platform that provides real-time insights and long-term trend analysis with no reliance on storage or indexing, solving the monitoring challenges of data growth in large-scale systems. | 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. |
Real-time live tail, data clustering, Logs2Metrics, dynamic alerting, Anomaly Detection, auto-parsing, data enrichment, TCO optimizer, version benchmarks, archive query, reindexing, RBAC, SSO & SAML | 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 |
Statistics | |
GitHub Stars - | GitHub Stars 452 |
GitHub Forks - | GitHub Forks 62 |
Stacks 32 | Stacks 1 |
Followers 43 | Followers 3 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to Coralogix, Stroom?
Papertrail
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Loggly
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Apache Spark
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Logentries
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Logstash
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Graylog
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Presto
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Amazon Athena
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Sematext
Sematext pulls together performance monitoring, logs, user experience and synthetic monitoring that tools organizations need to troubleshoot performance issues faster.
