Loki vs OpenSearch
Label-indexed logs in object storage against full-text Lucene indexing for search and security analytics. Weighs query patterns, storage cost drivers, AGPL versus Apache-2.0 licensing and the deployment modes each supports.

Comparisons anchored on Grafana Loki, the AGPL label-indexed log store.
Label-indexed logs in object storage against full-text Lucene indexing for search and security analytics. Weighs query patterns, storage cost drivers, AGPL versus Apache-2.0 licensing and the deployment modes each supports.
Where log storage money goes: Loki indexing only labels and keeping compressed chunks in object storage against OpenSearch full-text inverted indexes split into shards, with the drivers that move cost, retention choices and what you lose in query power.
Which Grafana Loki deployment mode to run: monolithic, simple scalable or microservices. Covers the daily log volumes the Loki docs give for each, the deprecation of simple scalable mode before Loki 4.0, HA monolithic with shared object storage, and the operating complexity of microservices on Kubernetes.
Whether a self-hosted log platform should run open source Loki or Grafana Enterprise Logs (GEL): what GEL adds for multi-tenant access control, and why GEL being in long-term support with no new features until its February 2029 end of life changes the answer for new buyers.
Whether to run Loki yourself on object storage or send logs to Grafana Cloud: the free tier's 50 GB and 14-day cap, Pro per-GB processing, write and retention pricing, and the object store, Helm chart and agent work that self-hosting leaves with your team.
Two log stores built to be cheaper than Elasticsearch: AGPL Loki, which indexes only labels and keeps chunks in object storage, against Apache-2.0 VictoriaLogs on local disk with full-text search and high-cardinality fields. Covers query languages (LogQL versus LogsQL), storage design, retention, deployment modes, shipper compatibility and how hard a switch is.
Label-indexed log storage against full-text search: Grafana Loki and Elasticsearch compared on indexing model, query capability, storage cost, licensing (Elastic License 2.0, SSPL or AGPLv3) and the operating effort at scale.

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