lindb/lindb

Health v2 · maintenance only

Adoption not part of the score

3066 stars · 283 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

LinDB is an open-source distributed time series database written in Go, offering high performance, high availability, and horizontal scalability for storing and analyzing metric data. It features a schema-free multi-dimensional data model, LinQL query language, automatic rollups, multi-IDC support, and a built-in web admin console.

Use cases

• store and query monitoring metrics at scale
• time series database for IoT sensor data
• self-hosted alternative to InfluxDB for metrics
• multi-datacenter metric storage and aggregation
• high-throughput time series ingestion over a million TPS
• IT infrastructure and application performance monitoring storage

When to choose

• you need a horizontally scalable cluster for massive metric volumes
• you want multi-active datacenter writes and cross-IDC query aggregation
• you prefer automatic rollups without configuring continuous queries
• you want a simple deployment with minimal external dependencies (only etcd)

When to avoid

• you need full SQL or rich ecosystem integrations like Grafana plugins out of the box
• your workload is small enough for a simpler single-node TSDB
• you need strong consistency rather than eventual consistency
• you require non-time-series relational or document data

Facets

service · maturity active

database monitoring analytics http-server cli databases monitoring iot big-data windows go self-hosted cross-platform time-series-database distributed-database metrics-storage linql multi-idc rollup influxdb-line-protocol horizontal-scalability devops linux macos docker

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