influxdata/influxdb
influxdata/influxdb has 31,799 GitHub stars and 3,825 forks. GitHot measured +1 stars in 24 hours. Last checked 2026-11-05 22:09 UTC. Last push 2026-11-02.
So werden diese Zahlen gemessen
Skalierbarer Datenspeicher für Metriken, Ereignisse und Echtzeitanalysen
Gemessener Sternzuwachs
- in 24h
- +1
- in 7 days
- Verlauf wird gesammelt
- in 15 days
- Verlauf wird gesammelt
- in 1 month
- Verlauf wird gesammelt
Nettoänderungen in überlappenden Zeiträumen, keine Tagessummen. Fehlende Messwerte bleiben leer. Sterne zeigen Interesse, nicht Qualität.
README.md
OriginalInfluxDB 3 Core
Open source time series database for real-time events, analytics, and monitoring--powered by Apache Arrow, DataFusion, and Parquet.
InfluxDB 3 Core is a database built to collect, process, transform, and store event and time series data. It is ideal for use cases that require real-time ingest and fast query response times to build user interfaces, monitoring, and automation solutions.
Common use cases include:
- Monitoring sensor data
- Server monitoring
- Application performance monitoring
- Network monitoring
- Financial market and trading analytics
- Behavioral analytics
InfluxDB is optimized for scenarios where near real-time data monitoring is essential and queries need to return quickly to support user experiences such as dashboards and interactive user interfaces.
InfluxDB 3 Core’s feature highlights include:
- Diskless architecture with object storage support (or local disk with no dependencies)
- Fast query response times (under 10ms for last-value queries, or 30ms for distinct metadata)
- Embedded Python VM for plugins and triggers
- Parquet file persistence
- Compatibility with InfluxDB 1.x and 2.x write APIs
- Compatibility with InfluxDB 1.x query API (InfluxQL)
- SQL query engine with support for FlightSQL and HTTP query API
Storage format: Apache Parquet on object storage (S3, Azure, GCP) or local disk
Query languages: SQL, InfluxQL, Flight SQL
Write format: Line protocol
API: HTTP on port 8181
Built with: Rust, Apache Arrow, DataFusion
Compatible with: InfluxDB 1.x and 2.x write APIs, InfluxDB 1.x query API (InfluxQL)
Other InfluxDB Versions
This repository contains multiple InfluxDB versions on separate branches:
| Version | Branch | Query Languages | Documentation |
|---|---|---|---|
| v3 Core (this branch) | main |
SQL, InfluxQL | docs.influxdata.com/influxdb3/core/ |
| v2.x | main-2.x |
Flux, InfluxQL | docs.influxdata.com/influxdb/v2/ |
| v1.x | master-1.x |
InfluxQL, Flux | docs.influxdata.com/influxdb/v1/ |
Project Status
InfluxDB 3 Core has been generally available since April 2025. See v3.* tags and release notes for the latest version.
Join the InfluxDB3 Discord or the public channels below to share your feedback, feature requests, and bug reports.
Installation
Docker images, Debian packages, RPM packages, and tarballs are available on the InfluxData downloads page.
- For InfluxDB 3 Core, see the getting started guide.
- For InfluxDB 3 Enterprise, see the getting started guide.
- For v2.x, see the
main-2.xbranch. - For v1.x, see the
master-1.xbranch.
If you are interested in building from source, see the building from source guide for contributors.
Support
For community support and feedback channels, see Bug reports and feedback.
License
The open source software we build is licensed under the permissive MIT or Apache 2 licenses at the user’s choosing. We’ve long held the view that our open source code should be truly open and our commercial code should be separate and closed.
Interested in joining the team building InfluxDB?
Check out current job openings at www.influxdata.com/careers today!
Ähnliche Projekte entdecken
Asabeneh/30-Days-Of-Python
Die Programmier-Challenge 30 Days of Python ist eine Schritt-für-Schritt-Anleitung, um die Programmiersprache Python in 30 Tagen zu lernen. Diese Challenge kann mehr als 100 Tage dauern. Gehe in deinem eigenen Tempo vor. Diese Videos können ebenfalls helfen: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
78,163 Sternegrafana/grafana
Offene und kombinierbare Plattform für Observability und Datenvisualisierung. Visualisiert Metriken, Logs und Traces aus mehreren Quellen wie Prometheus, Loki, Elasticsearch, InfluxDB, Postgres und vielen weiteren.
77,724 Sterneredis/redis
Für Entwickler, die echtzeitfähige, datengesteuerte Anwendungen erstellen, ist Redis der bevorzugte, schnellste und funktionsreichste Cache, Datenstrukturserver und die entsprechende Abfrageengine für Dokumente und Vektoren.
77,199 Sterneapache/superset
Apache Superset ist eine Plattform für Datenvisualisierung und Datenexploration.
75,420 Sterne