vs

Grafana Loki vs Parseable

Grafana Loki: Label-indexed log aggregation: Prometheus-style streams, chunks on object storage, LogQL queries. Parseable: Rust telemetry datalake for logs, metrics and traces on S3, queried with SQL.

key differences

  • Grafana Loki is primarily a time-series database; Parseable is columnar / OLAP.
  • Grafana Loki is built for larger datasets (Multi-PB) than Parseable (≤ 1 PB).
  • Only Parseable has joins, 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 parseable for

  • +Low-cost log retention on S3
  • +OpenTelemetry backend for small and mid-size teams
  • +Audit and compliance logs kept for years
  • +SQL analysis of application events

best at · Observability, Time-series

overview
Primary model
Time-Series
Columnar / OLAP
Also supports
–
Time-Series
Type
Database engine
Database engine
Status
Active
Active
Developer
Grafana Labs
Parseable, Inc.
First release
2018
2022
Latest version
3.7.9 (Oct 20, 2026)
3.2.6 (Oct 26, 2026)
License
Open source (copyleft)GNU AGPL v3.0
Open source (copyleft)GNU AGPL v3.0
Free tier
✓
✓
popularity
WhichDB Score
28.7
18.6
Rank
#96
#178
GitHub stars
29.1K
2.6K
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
Client languages
–
–
Best for
Observability, Time-series
Observability, Time-series

Grafana Loki vs Parseable: FAQ

What is the difference between Grafana Loki and Parseable?

Grafana Loki: Label-indexed log aggregation: Prometheus-style streams, chunks on object storage, LogQL queries. Parseable: Rust telemetry datalake for logs, metrics and traces on S3, queried with SQL. Grafana Loki is primarily a time-series database; Parseable is columnar / OLAP. Grafana Loki is built for larger datasets (Multi-PB) than Parseable (≤ 1 PB). Only Parseable has joins, columnar storage, role-based access.

When should I choose Grafana Loki over Parseable?

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 Parseable for low-cost log retention on S3; OpenTelemetry backend for small and mid-size teams; and audit and compliance logs kept for years.

Is Grafana Loki or Parseable more popular?

Grafana Loki ranks #96 on the WhichDB Score (28.7/100) and Parseable ranks #178 (18.6/100). Popularity is not fit: check the requirements that matter for your project.

Are Grafana Loki and Parseable open source?

Yes. Grafana Loki is open source. License: GNU AGPL v3.0. Yes. Parseable is open source. License: GNU AGPL v3.0.