FindAlternative
Sign in
Back to InfluxDB

InfluxDB vs Prometheus

Side-by-side comparison of features, pricing, ratings, and alternatives.

Compare
InfluxDB
InfluxDBHigh-performance time-series database for real‑time analytics
Visit
Prometheus
PrometheusMonitoring system and time series database
Visit
Overview
Description

InfluxDB is an open‑source time‑series database designed for fast, high‑volume data ingestion and querying. It powers monitoring, IoT, and analytics workloads with a purpose‑built query language and native support for down‑sampling and retention policies. The platform offers both self‑hosted and cloud‑managed options, enabling developers and DevOps teams to store, process, and visualize metrics, events, and logs at scale. Integrated with the InfluxData stack and popular tools like Grafana, it simplifies building end‑to‑end observability pipelines.

Prometheus is a free software application used for event monitoring and alerting. It records real-time metrics in a time series database (allowing for high dimensionality) built using a HTTP pull model, with flexible queries and real-time alerting. The project is written in Go and licensed under the Apache 2 license, with source code available on GitHub.

Pricing
Freemium
Free
Category
Databases
DevOps & CI/CD
Best for
Developers and DevOps teams
DevOps and SRE teams
Specifications
Spec source
AI-estimated
AI-estimated
open source
Yes
Yes
github stars
31,651
65,199+106%
api available
Yes
Yes
support options
Email, Documentation, Community Forum
Community support, Documentation
key integrations
Telegraf, Kapacitor, Chronograf, Grafana
Kubernetes, Docker, Grafana
primary language
Rust
Go
deployment
—
Self-hosted
Pros & Cons
Pros
  • Open‑source core with active community
  • High ingestion rate and low query latency
  • Flexible deployment: cloud or self‑hosted
  • Rich ecosystem of integrations and tooling
  • Highly scalable and performant
  • Flexible query language and data model
  • Real-time alerting and notification system
  • Large ecosystem of integrations and community support
Cons
  • Advanced features like clustering require paid subscription
  • Learning curve for Flux language
  • Limited built‑in security controls in the free version
  • Steep learning curve due to complex query language and data model
  • Requires significant resources and infrastructure to deploy and manage
  • Limited support for historical data and long-term storage
Community & Metrics
Upvotes
0
0
User rating
Not enough data
Not enough data

More alternatives & similar tools

Alternatives to InfluxDB

View all →
TimescaleDB
TimescaleDB

Open‑source time‑series database built on PostgreSQL for scalable analytics

Compare
TDengine
TDengine

High-performance open-source time-series database for IoT and big data

Compare
Prometheus
Prometheus

Monitoring system and time series database

Compare

Alternatives to Prometheus

View all →
netdata
netdata

Real-time system monitoring and performance troubleshooting

Compare
Grafana
Grafana

Composable observability platform

Compare
uptime-kuma
uptime-kuma

Self-hosted uptime and status page

Compare
WorldMonitor
WorldMonitor

Real-time global monitoring and alerting system

Compare

The Verdict

AI-generated from listing data

InfluxDB offers a freemium model with high‑ingestion rates and built‑in retention, while Prometheus is fully free but focuses on monitoring with less long‑term storage support.

Key differences

  • •InfluxDB provides native retention policies and continuous queries for automatic down‑sampling; Prometheus lacks built‑in long‑term storage.
  • •InfluxDB’s clustering (high availability) requires a paid subscription; Prometheus is entirely free but needs external tooling for HA.
  • •Query languages differ: InfluxQL/Flux (SQL‑like) vs. PromQL (multi‑dimensional); learning curves vary.
  • •InfluxDB includes a full UI stack (Chronograf, Kapacitor) out‑of‑the‑box; Prometheus relies on external Grafana and Alertmanager.
  • •Primary target audiences differ: InfluxDB aims at developers/IoT use cases; Prometheus is geared toward DevOps/SRE monitoring.
DimensionWinner

Pricing & value

InfluxDB offers a freemium tier with paid clustering; Prometheus is free but may need extra components for HA.

InfluxDB

Ease of use / learning curve

PromQL is steep but well‑documented; Flux has a learning curve and limited free security features.

Prometheus

Features & depth

InfluxDB includes retention policies, continuous queries, Kapacitor alerts, and Chronograf UI; Prometheus lacks built‑in down‑sampling.

InfluxDB

Integrations & ecosystem

Prometheus integrates natively with Kubernetes, Docker, and has a larger community; InfluxDB relies on Telegraf and Grafana.

Prometheus

Scalability

InfluxDB cluster mode supports horizontal scaling across nodes; Prometheus requires external solutions for large scale.

InfluxDB

Support

InfluxDB provides email support plus community; Prometheus only community and documentation.

InfluxDB

Security & privacy

Prometheus has no noted security limitations; InfluxDB free version has limited built‑in security controls.

Prometheus

Choose InfluxDB if…

Teams needing high‑rate ingestion, built‑in retention/down‑sampling, and optional clustering with a freemium model.

Choose Prometheus if…

DevOps/SRE groups focused on pure monitoring, Kubernetes integration, and a completely free solution.

Common questions

Which tool supports automatic data expiration?

InfluxDB provides built‑in retention policies; Prometheus does not.

Can I run a highly available cluster without paying?

InfluxDB clustering requires a paid subscription; Prometheus needs external components for HA.

Do both tools integrate with Grafana?

Yes, both InfluxDB and Prometheus can be used as data sources in Grafana.