Should I use Prometheus or InfluxDB?

If monitoring is what you’re most interested in, Prometheus is your safest bet because of its many integrations and scalable model. If you’re more likely to be using a time series database for IoT, sensors, or analytics, then you’ll probably want to choose InfluxDB.

Why is Prometheus better than InfluxDB?

Prometheus can write data with the millisecond resolution timestamps. InfluxDB is more advanced in this regard and can work with even nanosecond timestamps. Prometheus uses an append-only file per time-series approach for storing data.

Is Prometheus scalable?

However, Prometheus has an Achilles’ heel: it doesn’t scale well by default. It runs on a single machine and periodically connects to an endpoint on each of the containers, servers, and VMs it is monitoring to scrape metrics data from.

Can I use Prometheus as database?

Prometheus includes a local on-disk time series database, but also optionally integrates with remote storage systems.

Why is Prometheus the best?

Where Prometheus is better: If you’re primarily collecting and evaluating metrics. If you’re monitoring homogeneous Kubernetes infrastructure (if 100\% of the workloads you’re monitoring are in K8s, Prometheus offers better K8s integration) More powerful query language, and built-in support for historical data analysis.

How does Thanos work with Prometheus?

Thanos, simply put, is a “highly available Prometheus setup with long-term storage capabilities”. Thanos allows you to aggregate data from multiple Prometheus instances and query them, all from a single endpoint. Thanos also automatically deals with duplicate metrics that may arise from multiple Prometheus instances.

Who is using Prometheus?

Companies Currently Using Prometheus

How much does Prometheus cost?

Amazon Managed Service for Prometheus pricing

Who owns Prometheus?

Genstar Capital
Prometheus Group was acquired by Genstar Capital on May 30, 2019 .

How is Prometheus used?

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.