# Integrations

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

# Integrations

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:

- [Coroot](coroot.md) — Integrate GreptimeDB with Coroot.
- [DBeaver](dbeaver.md) — Guide to connecting GreptimeDB to DBeaver using MySQL database drivers, including connection settings and verification steps.
- [EMQX](emqx.md)
- [Fluent Bit](fluent-bit.md) — Integrate GreptimeDB with Fluent Bit.
- [Grafana](grafana.md) — Steps to configure GreptimeDB as a data source in Grafana using different plugins and data sources, including installation and connection settings.
- [Grafana Alloy](alloy.md) — Integrate GreptimeDB with Grafana Alloy.
- [Kafka](kafka.md) — Learn how to ingest observability data from Kafka into GreptimeDB using Vector.
- [Metabase](metabase.md) — Instructions for configuring GreptimeDB as a data source in Metabase, including installation of the driver plugin and connection settings.
- [MindsDB](mindsdb.md) — Guide on configuring GreptimeCloud as a data source in MindsDB for machine learning capabilities.
- [Model Context Protocol (MCP)](mcp.md) — Learn how to integrate GreptimeDB with Model Context Protocol (MCP) for AI assistants to explore and analyze your time-series data.
- [Prometheus](prometheus.md) — Describes how to use GreptimeDB as a remote storage backend for Prometheus and how to query metrics using Prometheus Query Language (PromQL).
- [Streamlit](streamlit.md) — Instructions for using GreptimeCloud with Streamlit to build data apps, including creating a SQL connection and running SQL queries.
- [Superset](superset.md) — Guide to configuring GreptimeDB as a database in Apache Superset, including installation steps and connection settings.
- [Telegraf](telegraf.md) — Guide on using Telegraf to send data to GreptimeDB
- [Vector](vector.md) — Guide on using Vector to sink data to GreptimeDB.