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# Parseable
> Parseable is a unified observability platform for logs, metrics, and traces. Built in Rust on Apache Parquet and object storage (S3, GCS, Azure Blob, MinIO), it delivers up to 90% data compression, PostgreSQL-compatible SQL queries, native PromQL support (Enterprise), OpenTelemetry ingestion, and AI-native features — at up to 80x lower cost than Datadog or Splunk. Deployable as a single binary on any cloud or on-premises, with no external dependencies beyond an object store.
Parseable is available in three tiers: **OSS** (AGPLv3, self-hosted, free), **Pro** ($0.37/GB, fully managed cloud, 14-day free trial), and **Enterprise** (dedicated infrastructure, BYOC, custom pricing from $999/month).
## Getting started
- [Quickstart](https://www.parseable.com/docs/get-started): Three paths — Parseable Cloud Pro (recommended), local Docker, or self-hosted production.
- [Architecture](https://www.parseable.com/docs/architecture): Single binary with Prism UI. Runs in standalone (dev) or distributed (production) mode with separate ingestor, query, indexer, and prism node roles.
- [Self-Hosted Installation](https://www.parseable.com/docs/self-hosted/installation): Kubernetes (Helm), Docker Compose, or bare metal. Distributed mode requires an object store.
- [Configuration](https://www.parseable.com/docs/self-hosted/configuration): All configuration via environment variables — storage backends, TLS, OIDC, performance tuning, distributed mode, and hot tier.
## Ingestion
- [Ingestion overview](https://www.parseable.com/docs/ingestion): HTTP(S) JSON or OTLP/HTTP. Required headers: `X-P-Stream` (dataset), `Authorization`. Max payload 10 MiB. Events staged to disk, flushed to Parquet every minute.
- [OpenTelemetry](https://www.parseable.com/docs/ingest-data/otel): Native OTLP/HTTP for logs, metrics, and traces — zero configuration.
- [Prometheus Remote Write](https://www.parseable.com/docs/ingest-data/prometheus): Ingest metrics from any Prometheus-compatibl