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.

Getting Started
Getting Started

Get started with Parseable on your laptop, using a single command. Ingest logs and start query and analysis in minutes.

Key Concepts
Key Concepts

Understand the key concepts of Parseable. This is a good starting point to understand how Parseable works.

Distributed installation
Distributed installation

Install Parseable in HA mode. This is suited for production environments that need performance and reliability.

Log Ingestion
Log Ingestion

Learn how to ingest logs into Parseable. This is the first step to start querying and analyzing logs.

Query and Analysis
Query and Analysis

Details on how to query, analyze and visualize logs in Parseable. SQL functions and examples are provided.

Integrations
Integrations

Learn about various integrations supported by Parseable. This includes data sources, alerting and visualization tools.

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Get Started