Scalable datastore for metrics, events, and real-time analytics
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High-performance, scalable time-series database designed for Industrial IoT (IIoT) scenarios
A time-series database for high-performance real-time analytics packaged as a Postgres extension
QuestDB is a high performance, open-source, time-series database
- time-series
- low-latency
- database
- sql
Highly available Prometheus setup with long term storage capabilities. A CNCF Incubating project.
- prometheus
- google-cloud-storage
- high-availability
- prometheus-ha-pairs
The open-source observability database. One columnar engine for metrics, logs, and traces, on object storage.
- cloud-native
- rust
- metrics
- logs
A horizontally scalable, highly available, multi-tenant, long term Prometheus.
A scalable, distributed Time Series Database.
M3 monorepo - Distributed TSDB, Aggregator and Query Engine, Prometheus Sidecar, Graphite Compatible, Metrics Platform
- prometheus
- kubernetes
- graphite
- metrics
In-memory dimensional time series database.
LinDB is a scalable, high performance, high availability distributed time series database.
- monitoring
- metrics
- high-performance
- distributed-database
Fast scalable time series database
- kairosdb
- java
- timeseries-database
- metrics
Distributed Prometheus time series database
- scala
- time-series
- database
- distributed
SiriDB is a highly-scalable, robust and super fast time series database. Build from the ground up SiriDB uses a unique mechanism to operate without a global index and allows server resources to be added on the fly. SiriDB's unique query language includes dynamic grouping of time series for easy analysis over large amounts of time series.
- ticker-data
- siridb-server
- time-series
- timeseries
Single-binary observability, time-series database, and built-in dashboard for Raspberry Pi, edge devices, and local metrics.
- golang
- observability
- raspberry-pi
- raspberrypi
Time-series database and pub/sub messaging server for IoT and real-time devices, in Go: an embeddable storage engine with TTLs, wildcard topics and encryption, and a clustered server over gRPC, TCP and WebSocket with replication and rolling upgrades.