Arc 25.11.1

[xe-nvdk]

Welcome to our very first release 👯

One database for metrics, logs, traces, and events.
Query all your observability data with SQL. Built on DuckDB + Parquet. 6.57M records/sec unified ingestion.

Quick Start

Docker

docker run -d \
  -p 8000:8000 \
  -e STORAGE_BACKEND=local \
  -e DB_PATH=/data/arc.db \
  -v arc-data:/data \
  ghcr.io/basekick-labs/arc:25.11.1

Kubernetes (Helm)

helm install arc https://github.com/Basekick-Labs/arc/releases/download/v25.11.1/arc-25.11.1.tgz

Features

High-Performance Ingestion

• 6.57M records/sec unified: Ingest metrics, logs, traces, and events simultaneously through one endpoint
• MessagePack columnar protocol: Zero-copy ingestion optimized for throughput
• InfluxDB Line Protocol: 240K records/sec for Telegraf compatibility and easy migration

Query & Analytics

• DuckDB SQL engine: Full analytical SQL with window functions, CTEs, joins, and aggregations
• Cross-database queries: Join metrics, logs, and traces in a single SQL query
• Query caching: Configurable result caching for repeated analytical queries
• Apache Arrow format: Zero-copy columnar data transfer for Pandas/Polars pipelines

Storage & Scalability

• Columnar Parquet storage: 3-5x compression ratios, optimized for analytical queries
• Flexible backends: Local filesystem, MinIO, AWS S3/R2, Google Cloud Storage, or any S3-compatible storage
• Multi-database architecture: Organize data by environment, tenant, or application with database namespaces
• Automatic compaction: Merges small files into optimized 512MB files for 10-50x faster queries

Data Management

• Retention policies: Time-based data lifecycle management with automatic cleanup
• Continuous queries: Downsampling and materialized views for long-term data aggregation
• GDPR-compliant deletion: Precise deletion with zero overhead on writes/queries
• Write-Ahead Log (WAL): Optional durability feature for zero data loss (disabled by default for max throughput)

Integrations & Tools

• VSCode Extension: Full-featured database manager with query editor, notebooks, CSV import, and alerting - Install Now
• Apache Superset: Native dialect for BI dashboards and visualizations
• Grafana: Native Data Source
• Prometheus: Ingest via Telegraf bridge (native remote write coming Q1 2026)
• OpenTelemetry: Ingest via OTEL Collector (native receivers coming Q1 2026)
• Telegraf Arc output plugin (In progress)

Operations & Monitoring

• Health checks: /health and /ready endpoints for orchestration
• Prometheus metrics: Export operational metrics for monitoring
• Authentication: Token-based API authentication with cache for performance
• Production ready: Docker, native deployment, and systemd service management

Performance

Unified Ingestion Benchmark (Apple M3 Max, 14 cores):

• Metrics: 2.91M/sec
• Logs: 1.55M/sec
• Traces: 1.50M/sec
• Events: 1.54M/sec
• Total: 6.57M records/sec (all data types simultaneously)

ClickBench Results (AWS c6a.4xlarge, 100M rows):

• Cold run: 120.25s
• Warm run: 35.70s
• 12.4x faster than TimescaleDB
• 1.2x faster than QuestDB (Combined and Cold Run)

Known Issues

• High Availability and clustering not yet implemented (coming Q1 2026)
• Native Prometheus remote write endpoint in development
• Native OTLP receivers in development
• Performance penalty with Docker Desktop.

Report issues →

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Roadmap

Q1 2026:

• Arc Cloud managed hosting
• Read Replicas
• Enhanced authentication (RBAC, SSO)

View full roadmap →

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💬 Community

• Discord: Join community
• GitHub: Report issues
• Website: basekick.net

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This discussion was created from the release Arc 25.11.1.