Elasticsearch vs Loki

Elasticsearch

Distributed search and analytics engine

Loki

Log aggregation system by Grafana Labs

Feature Elasticsearch Loki
Category Databases Monitoring
Sub-category Search Logging
Maturity mature mature
Complexity intermediate intermediate
Performance tier medium medium
License SSPL AGPL-3.0
License type source-available copyleft
Pricing fully free fully free
GitHub stars 72.0K 24.0K
Contributors 2.0K 300
Commit frequency weekly weekly
Plugin ecosystem none none
Docs quality good good
Backing org Elastic Grafana Labs
Funding model open_core open_core
Min RAM 4 GB 1 GB
Min CPU cores 2 1
Scaling pattern distributed single_node
Self-hostable Yes Yes
K8s native No Yes
Offline capable Yes No
Vendor lock-in none none
Languages Java Go
API type REST REST
Protocols HTTP HTTP
Deployment docker, apt, binary docker, binary
SDK languages
Team size fit solo, small, medium, enterprise small, medium, enterprise
First release 2020 2020
Latest version

When to use Elasticsearch

  • Primary use: full-text-search
  • Primary use: log-analytics
  • Primary use: security-analytics

When to use Loki

  • Primary: log-aggregation
  • Primary: log-search
  • Primary: kubernetes-logging

Elasticsearch anti-patterns

Loki anti-patterns

  • No full-text indexing by default
  • LogQL learning curve
  • Not for complex log analytics
Full Elasticsearch profile → Full Loki profile → All comparisons