Arc OSS Arc Enterprise Arc Launchpad Blog Website Arc OSS Getting Started

Overview Docker Installation Native Installation Kubernetes Installation AWS Marketplace

In this section Configuration Overview Authentication FIPS 140-3 Mode Storage File Format

Overview Performance Benchmarks

In this section REST API overview

Overview CSV Import Parquet Import Line Protocol Bulk Import

Overview Migrate from QuestDB Migrate from TimescaleDB Migrate from ClickHouse Migrate from InfluxDB

Overview SQL Querying Guide Decimal Precision

Overview Retention Policies Delete Operations Continuous Queries

Overview Apache Iceberg Export Apache Superset Integration Grafana Integration Telegraf Integration InfluxDB Client Compatibility MQTT Integration VS Code Extension OpenTelemetry Integration TLE (Satellite Orbital Data)Redpanda Connect Integration

Overview Data-Time Partitioning Write-Ahead Log (WAL)File Compaction Query Caching Edge Sync

Overview Connection Management arcctl query Writing Line Protocol Database Administration Measurement Listing Bulk Import

Overview Telemetry Backup & Restore Profiling with pprof

Python SDK Install the Python SDK Data Ingestion Querying with the Python SDK Data Management

Performance

Arc's published ClickBench and ingestion benchmark results, the per-database comparison posts, and the hardware and methodology behind each recorded benchmark run.

Benchmark results are published on the Basekick blog rather than duplicated here, so the numbers stay attached to the hardware and methodology that produced them.

Benchmarks

Where the ClickBench and ingestion results live, and how each run was measured.

Storage File Format

Arc's on-disk file format: every deployment stores measurement data as Apache Parquet, with Snappy on the ingest path and ZSTD after compaction.

Overview

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