Parseable

active

by Parseable, Inc. · since 2022

Rust telemetry datalake for logs, metrics and traces on S3, queried with SQL.

columnar / olaptime-seriesdatabase engineopen source (copyleft)growing

Overview

Parseable is a lightweight, Rust-built telemetry store that writes logs, metrics, traces and events to object storage as Apache Parquet and queries them with SQL through Apache DataFusion. It ingests OpenTelemetry natively as well as plain HTTP JSON, ships its own console for search, dashboards and alerts, and keeps a local hot tier for recent data so common queries avoid round-trips to S3. The server is AGPL-3.0, and Parseable's enterprise edition and managed cloud add multi-node query, SSO and support. It suits teams that want an S3-native alternative to Elasticsearch or Loki with few moving parts.

Strengths & trade-offs

Strengths

  • +Single Rust binary with a small memory footprint
  • +Open Parquet files on S3 avoid lock-in and stay cheap
  • +Plain SQL for log and trace analysis
  • +Native OpenTelemetry ingestion for logs, metrics and traces
  • +Hot tier on local disk speeds up recent queries

Trade-offs

  • −AGPL-3.0 licence
  • −No full-text index; text search is SQL filtering over columns
  • −Smaller community than Loki or Elasticsearch
  • −Fast-moving project with frequent breaking changes in major versions

Great 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

Think twice for

  • −Relevance-ranked search
  • −Prometheus-style metrics alerting at scale
  • −Transactional data

Capabilities

Native or official first-party support · 8 of 25 tracked

✓Joins
✓JSON
✓TTL / expiry
✓Columnar storage
✓Durable persistence
✓Compression
✓Role-based access
✓Streaming ingest
–Transactions
–Secondary indexes
–Full-text search
–Vector search
–Geospatial
–Change data capture
–Triggers
–Stored procedures
–Materialized views
–Pub/Sub
–In-memory
–Encryption at rest
–Time travel
–Branching
–Online schema changes
–Offline sync
–Runs in WebAssembly

Scale & consistency

Comfortable data size
Large · ≤ 1 PB
Horizontal scaling
Native
Multi-region
No
Transactions
None
Consistency
Eventual
Schema
Schemaless
Architecture
Single node, Distributed, Shared storage
Query languages
SQL

Distributed mode runs separate ingest and query nodes over a shared object-storage bucket.

Deployment

Self-hosted Vendor-managed cloud Serverless Embedded Edge Kubernetes operator

available on · AWS

Ecosystem

compatible withS3
apis & protocolsOTLP, HTTP JSON ingest, Kafka connector, HTTP query API

Alternatives to Parseable

Compare all→
OpenObserveSearch Engine20.4

Single-binary Rust observability platform storing logs, metrics and traces as Parquet on object storage.

parseable vs openobserve →
Grafana LokiTime-Series28.7

Label-indexed log aggregation: Prometheus-style streams, chunks on object storage, LogQL queries.

parseable vs grafana-loki →
VictoriaLogsSearch Engine19.4

Log database from the VictoriaMetrics team: schemaless ingestion, LogsQL and low RAM and disk use.

parseable vs victorialogs →
SigNozColumnar / OLAP17.0

OpenTelemetry-native APM and observability platform storing logs, metrics and traces in ClickHouse.

parseable vs signoz →
ElasticsearchSearch Engine75.1

Lucene-based distributed search and analytics engine for text, vectors, logs and metrics.

parseable vs elasticsearch →
QuickwitSearch Engine11.9

Cloud-native search engine on object storage for logs and traces, built on Tantivy.

parseable vs quickwit →

Parseable FAQ

What is Parseable?

Parseable is a columnar / OLAP database by Parseable, Inc., first released in 2022. Parseable is a lightweight, Rust-built telemetry store that writes logs, metrics, traces and events to object storage as Apache Parquet and queries them with SQL through Apache DataFusion. It ingests OpenTelemetry natively as well as plain HTTP JSON, ships its own console for search, dashboards and alerts, and keeps a local hot tier for recent data so common queries avoid round-trips to S3. The server is AGPL-3.0, and Parseable's enterprise edition and managed cloud add multi-node query, SSO and support. It suits teams that want an S3-native alternative to Elasticsearch or Loki with few moving parts.

Is Parseable open source?

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

Does Parseable support ACID transactions?

No. Parseable does not provide ACID transactions; its consistency model is eventual.

Does Parseable scale horizontally?

Parseable scales horizontally out of the box, with built-in sharding or partitioning. It is comfortable at large scale (≤ 1 PB).

How can I run Parseable?

You can self-host it and use the vendor's managed cloud. It is available on AWS.

What is Parseable best for?

Parseable is a strong fit for low-cost log retention on S3; OpenTelemetry backend for small and mid-size teams; and audit and compliance logs kept for years. Think twice for relevance-ranked search.

What are the best alternatives to Parseable?

Common alternatives to Parseable include OpenObserve, Grafana Loki, VictoriaLogs, SigNoz and Elasticsearch. The right choice depends on your workload, scale and hosting; WhichDB's smart match ranks them against your requirements.

How popular is Parseable?

Parseable ranks #178 of 844 databases on the WhichDB Score (18.6/100), and #17 among columnar / OLAP databases. The score combines public adoption signals such as package downloads, GitHub activity, job posts and developer discussion.