Introduction
Parseable is a cloud native log data analytics engine. Parseable is written in Rust and uses Apache Arrow and Parquet as underlying data structures.
- Deploy anywhere - public or private cloud, containers, VMs, or bare metal environments.
- Up to 5x smaller memory and compute footprint compared to JVM-based solutions.
- Single binary with built-in UI, setup within minutes.
- Ingests logs, metrics, and traces in OpenTelemetry format.
- Supports structured and unstructured data.
- Real-time and historical data analytics.
Get started with Parseable on your laptop, using a single command. Ingest logs and start query and analysis in minutes.
Understand the key concepts of Parseable. This is a good starting point to understand how Parseable works.
Install Parseable in HA mode. This is suited for production environments that need performance and reliability guarantees.
Learn how to ingest logs into Parseable. This is the first step to start querying and analyzing logs.
Details on how to query, analyze and visualize logs in Parseable. SQL functions and examples are provided.
Learn about various integrations supported by Parseable. This includes data sources, alerting and visualization tools.