Grafana Loki vs Parseable
log storage — label-indexed vs. indexless Parquet-on-S3
| Grafana Loki | Parseable | |
|---|---|---|
| Summary | Log aggregation inspired by Prometheus: index only labels, not full text. Cheap at scale. | Rust-based log lake that writes Parquet to S3-compatible object storage. Compute-storage separated, indexless by design. |
| License | AGPL-3.0 | AGPL-3.0 |
| Language | Go | Rust |
| GitHub stars (approx) | 24000 | 2500 |
| Categories | logs | logs |
| Replaces SaaS | splunk, datadog, sumologic | datadog, splunk, new-relic |
| Self-host deployment | docker, kubernetes helm, single binary | single binary, docker, kubernetes helm |
| Commercial hosted option | yes (vendor-run) | yes (vendor-run) |
| Repository | https://github.com/grafana/loki | https://github.com/parseablehq/parseable |
| Freshness checked | 2026-04-22 | 2026-05-17 |
When to prefer Grafana Loki
You want Grafana-native log exploration with a mature ecosystem of Promtail, Vector, and Fluent Bit shippers and well-understood operational characteristics. Loki is the default choice for Grafana-stack shops.
When to prefer Parseable
You want maximally cheap log storage with no indexing layer — just Parquet files on S3-compatible object storage and SQL queries. Parseable trades query latency for radically lower storage cost and operational simplicity.