ChaosSearch's Chaos LakeDB helps organizations make better use of their log and event data. The cloud data platform enables users to search, analyze, and visualize application telemetry data stored in Amazon S3 or Google Cloud Platform. | It is the next-gen search & analytics engine built for logs. It is designed from the ground up to offer cost-efficiency and high reliability on large data sets. Its benefits are most apparent in multi-tenancy or multi-index settings. |
Amazon S3 and Elasticsearch API support; Fully integrated Kibana visualization with enhancements; Backed by Amazon S3 — never move your data; Multi-user, SSO/OAuth; Alerting notification with webhook integrations; Enhanced query management with burst/cancel; Comprehensive customer dashboard for data analytics and tracking; Unlimited data retention and queries | Highly scalable distributed search;
Sub-second full-text search on cloud / distributed storage;
Stream indexing: Kafka and Kinesis native;
Exactly-once semantics at indexing: no data loss;
Time-based sharding |
Statistics | |
GitHub Stars - | GitHub Stars 10.5K |
GitHub Forks - | GitHub Forks 491 |
Stacks 7 | Stacks 3 |
Followers 17 | Followers 8 |
Votes 10 | Votes 10 |
Pros & Cons | |
Pros
| Pros
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Integrations | |

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