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Home/Categories/Databases & Storage/InfluxDB
icon of InfluxDB

InfluxDB

Open source alternative to Amazon Timestream, Datadog and Grafana Cloud

  • 31.8K stars
  • Apache-2.0
  • Active this week
  • Last commit 1 day ago

Last verified Oct 20, 2026

Query high-frequency metrics and sensor data with an open source time series database built for real-time ingest and SQL analytics.

Visit websiteGitHub31.8K starsDeploy on Hostinger
image of InfluxDB
TL;DR

InfluxDB is a time series database for metrics, events, IoT sensor data, observability, and real-time analytics. It replaces general databases or hosted metrics stores when teams need fast time-ordered ingestion, compression, and queries over high-volume measurements.

Read the full breakdownHide the full breakdownWho it is for, how it works, trade-offs and the FAQ
who it's for

Who InfluxDB is for#

DevOps teams storing infrastructure metrics

Use InfluxDB for CPU, memory, latency, and service telemetry that need retention and time-window queries.

Skip if:

Skip if your observability stack already standardizes on Prometheus plus long-term remote storage.

IoT teams ingesting sensor readings

Use InfluxDB for device measurements where every reading has a timestamp and aggregation windows matter.

Skip if:

Skip if relational joins and transactional integrity are more important than time series performance.

the problem

The problem it solves#

Metrics and sensor data grow quickly because every service, device, or process emits repeated measurements over time. Row-oriented databases can store this data, but retention, compression, downsampling, and time-window queries become painful at scale.

how InfluxDB solves it

How it solves it#

Time series storage

InfluxDB is purpose-built for high-frequency time-stamped data such as infrastructure metrics, application events, and sensor measurements.

InfluxDB 3 Core path

The README points users to InfluxDB 3 Core getting-started docs and downloads for Docker images, Debian packages, RPM packages, and tarballs.

SQL-oriented querying

InfluxDB 3 targets analytical querying over time series data, giving teams a database built for time-window aggregations instead of generic rows.

strengths · trade-offs

Strengths and trade-offs#

Strengths

  • Optimized for measurement dataInfluxDB fits append-heavy workloads where the central question is how values change over time.
  • Flexible deployment packagingOfficial downloads include containers and native packages, which helps teams run it in cloud, on-premises, and edge environments.

Trade-offs

  • -Version differences matterInfluxDB has major version lines with different behavior and docs. Teams should choose the current version deliberately before adopting examples or integrations.
versus alternatives

InfluxDB vs alternatives#

InfluxDB vs PostgreSQL

InfluxDB is better for high-volume time series ingestion, retention, and time-window analytics. PostgreSQL is still better when the workload needs relational joins, transactions, constraints, and general application data modeling.

tech stack · detected from GitHub

What it's built on#

Languages
GoPythonRust
Frameworks
React
frequently asked

FAQ#

What is InfluxDB used for?

InfluxDB stores and queries time series data such as metrics, events, and IoT sensor readings.

Can InfluxDB be self-hosted?

Yes. The README points to Docker images, Debian packages, RPM packages, and tarballs.

What license does InfluxDB use?

The README says the open source software is licensed under MIT or Apache 2.0 at the user's choosing.

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Hostinger

Run InfluxDB on your own server

Self-host InfluxDB on a Hostinger VPS.

Deploy on Hostinger

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