If you use Elasticsearch, OpenSearch, Loki or VictoriaLogs and are curious why your system requires a lot of RAM or performs full-text search queries at a very slow speed, then this article might be…

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The post compares Elasticsearch, Loki, and VictoriaLogs in terms of how they store and query logs, emphasizing their different advantages and trade-offs. Elasticsearch offers outstanding full-text search performance but requires significant storage and RAM. Loki utilizes log stream labelsets for better compression and lower storage needs but has poor performance for precise queries and high-cardinality fields. VictoriaLogs uses bloom filters and column-oriented storage to balance full-text search performance with low storage and RAM requirements, although it might be slower for simple queries.

How to open source solutions for logs work: Elasticsearch, Loki and VictoriaLogs

How does Elasticsearch store and query logs?

How does Grafana Loki store and query logs?

How does VictoriaLogs store and query logs?