vs

Grafana Loki vs OpenObserve

Grafana Loki: Label-indexed log aggregation: Prometheus-style streams, chunks on object storage, LogQL queries. OpenObserve: Single-binary Rust observability platform storing logs, metrics and traces as Parquet on object storage.

key differences

  • Grafana Loki is primarily a time-series database; OpenObserve is search engine.
  • Grafana Loki is built for larger datasets (Multi-PB) than OpenObserve (≤ 1 PB).
  • Only OpenObserve has joins, full-text search, columnar storage, role-based access.

choose grafana-loki for

  • +Kubernetes and application logs alongside Prometheus
  • +Cost-efficient log retention on S3
  • +Deriving metrics and alerts from log lines
  • +Correlating logs with traces in Grafana

best at · Observability, Time-series

choose openobserve for

  • +Self-hosted Datadog or Elastic replacement
  • +Kubernetes logs and traces on S3
  • +Small teams needing one observability tool
  • +Front-end RUM and session replay with backend logs

best at · Observability, Search, Time-series

overview
Primary model
Time-Series
Search Engine
Also supports
–
Time-Series, Columnar / OLAP
Type
Database engine
Database engine
Status
Active
Active
Developer
Grafana Labs
OpenObserve Inc.
First release
2018
2023
Latest version
3.7.9 (Oct 20, 2026)
1.1.2 (Oct 20, 2026)
License
Open source (copyleft)GNU AGPL v3.0
Open source (copyleft)GNU AGPL v3.0 (open source); Enterprise is commercial
Free tier
✓
✓
popularity
WhichDB Score
28.7
20.4
Rank
#96
#156
GitHub stars
29.1K
22.5K
Stack Overflow questions
643
–
scale & guarantees
Comfortable data size
Massive (Multi-PB)
Large (≤ 1 PB)
Horizontal scaling
Native
Native
Multi-region
None
None
ACID
None
None
Consistency
Eventual
Eventual
Schema
Schemaless
Schemaless
Architecture
Single node, Distributed, Shared storage
Single node, Distributed, Shared storage
deployment
Self-hosted
✓
✓
Vendor-managed cloud
✓
✓
Serverless
—
—
Embedded
—
—
Edge
—
—
Clouds
AWS, Google Cloud, Azure
AWS
capabilities
Transactions
—
—
Joins
—
✓
Secondary indexes
—
—
Full-text search
—
✓
Vector search
—
—
Geospatial
—
—
JSON
✓
✓
Change data capture
—
—
Triggers
—
—
Stored procedures
—
—
Materialized views
—
—
TTL / expiry
✓
✓
Pub/Sub
—
—
Columnar storage
—
✓
In-memory
—
—
Durable persistence
✓
✓
Compression
✓
✓
Encryption at rest
—
—
Role-based access
—
✓
Time travel
—
—
Branching
—
—
Online schema changes
—
—
Streaming ingest
✓
✓
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
LogQL
SQL, PromQL
Client languages
–
–
Best for
Observability, Time-series
Observability, Search, Time-series

Grafana Loki vs OpenObserve: FAQ

What is the difference between Grafana Loki and OpenObserve?

Grafana Loki: Label-indexed log aggregation: Prometheus-style streams, chunks on object storage, LogQL queries. OpenObserve: Single-binary Rust observability platform storing logs, metrics and traces as Parquet on object storage. Grafana Loki is primarily a time-series database; OpenObserve is search engine. Grafana Loki is built for larger datasets (Multi-PB) than OpenObserve (≤ 1 PB). Only OpenObserve has joins, full-text search, columnar storage, role-based access.

When should I choose Grafana Loki over OpenObserve?

Choose Grafana Loki for kubernetes and application logs alongside Prometheus; cost-efficient log retention on S3; and deriving metrics and alerts from log lines. Choose OpenObserve for self-hosted Datadog or Elastic replacement; kubernetes logs and traces on S3; and small teams needing one observability tool.

Is Grafana Loki or OpenObserve more popular?

Grafana Loki ranks #96 on the WhichDB Score (28.7/100) and OpenObserve ranks #156 (20.4/100). Popularity is not fit: check the requirements that matter for your project.

Are Grafana Loki and OpenObserve open source?

Yes. Grafana Loki is open source. License: GNU AGPL v3.0. Yes. OpenObserve is open source. License: GNU AGPL v3.0 (open source); Enterprise is commercial.