Overview

GreptimeDB can be seamlessly integrated with popular tools for data ingestion, querying, and visualization. The subsequent sections offer comprehensive guidance on integrating GreptimeDB with the following tools:

📄️ Overview

Provides an overview of integrating GreptimeDB with popular tools for data ingestion, querying, and visualization, including Prometheus, Vector, Grafana, Superset, Metabase, and EMQX.

📄️ Prometheus

Describes how to use GreptimeDB as a remote storage backend for Prometheus and how to query metrics using Prometheus Query Language (PromQL).

📄️ Vector

Please refer to the Ingest Data with Vector document for instructions on how to sink data to GreptimeDB using Vector.

📄️ Kafka

Learn how to ingest observability data from Kafka into GreptimeDB using Vector.

📄️ Grafana

Steps to configure GreptimeDB as a data source in Grafana using different plugins and data sources, including installation and connection settings.

📄️ Superset

Guide to configuring GreptimeDB as a database in Apache Superset, including installation steps and connection settings.

📄️ Metabase

Instructions for configuring GreptimeDB as a data source in Metabase, including installation of the driver plugin and connection settings.

📄️ EMQX

GreptimeDB can be used as a data system for EMQX.

📄️ DBeaver

Guide to connecting GreptimeDB to DBeaver using MySQL database drivers, including connection settings and verification steps.

📄️ Grafana Alloy

Integrate GreptimeDB with Grafana Alloy.

📄️ Streamlit

Instructions for using GreptimeCloud with Streamlit to build data apps, including creating a SQL connection and running SQL queries.

📄️ MindsDB

Guide on configuring GreptimeCloud as a data source in MindsDB for machine learning capabilities.