9 Tools and Integrations for InfluxDB

By Charles Mahler / Developer
Nov 28, 2025

InfluxDB is the go-to database for developers working with high-velocity time series data for use cases like application performance monitoring and real-time analytics. But InfluxDB exhibits its true power when combined with the right tools and integrations. The tools covered in this blog post can help at all stages of your workflow, from data collection to visualization and analysis, so you can get the most out of your InfluxDB deployment.

InfluxDB MCP server

The InfluxDB MCP server allows you to integrate InfluxDB 3 with LLMs to query data, inspect your schema, and manage your database using natural language. This makes it easier to work with your data and access it from within the tools you already use.

Microsoft PowerBI

PowerBI Desktop can be used to visualize data stored with InfluxDB by using the Flight SQL ODBC driver. Once connected, you can use PowerBI to build reports, analyze your data with PowerBI’s analytics and AI features, combine your time series data with other data sources, and share these insights across your organization.

Telegraf

Telegraf is a plugin-driven agent that makes it easy to collect and process data before storage. Telegraf has over 300 different plugins for data collection and can output data to InfluxDB and many other databases.

Using Telegraf removes much of the grunt work of collecting data from a variety of sources, allowing you to focus on deriving value from your data. Telegraf makes it easy to automate data ingestion at scale and decouple data collection from storage with minimal dependencies.

InfluxDB 3 Explorer

InfluxDB 3 Explorer is a tool for visualizing, querying, and managing the data stored in your InfluxDB 3 instance. The Explorer has built-in support for querying your data using AI, writing data, and managing processing engine plugins.

Grafana

Grafana is an industry standard for visualizing data and there are multiple ways to integrate Grafana with InfluxDB. The Grafana plugin for InfluxDB makes getting started easy and supports both InfluxQL and SQL for querying your data.

Connecting Grafana to InfluxDB gives you scalable data storage as a foundation for building dynamic visualizations and alerts that allow you to take action on your data. You can correlate metrics, create dashboard templates, and scale as your application grows.

Home Assistant

Home Assistant is a home automation platform that tracks devices, sensors, and state changes across your smart home. The built-in recorder handles day-to-day operations and dashboards, but when you start scaling the number of entities, logging high-frequency sensor data, or keeping months/years of history, you hit limitations in storage efficiency and query performance.

By integrating Home Assistant with InfluxDB, you gain benefits such as the ability to support higher write throughput to support a larger number of sensors and devices with higher-granularity data. You can also perform more advanced analytics to uncover trends and insights as well as optimize your automation workflows.

InfluxDB client libraries

InfluxDB 3 has five officially supported client libraries, which include Python, Java, JavaScript, C#, and Go. These libraries act as wrappers around the InfluxDB HTTP API and provide the following features to improve developer experience:

• High performance asynchronous and batch writing
• Pandas dataframe support
• Rate-limiting

Node-RED

Node-RED is an open source no-code visual programming tool for creating programmatic workflows. Node-RED is often used for home automation, industrial IoT, and general data collection workflows. Data can be collected from sensors, hardware devices, and other sources before it is processed and stored in InfluxDB.

Apache Iceberg

A powerful feature included with InfluxDB is the ability to export data to Apache Iceberg using the Processing Engine. This allows developers to access time series data from tools like Snowflake, Spark, BigQuery, as well as any other tools that support Iceberg. The InfluxDB Iceberg plugin supports scheduled batch transfers at scheduled intervals and on-demand transfers via HTTP requests.

Time to build

InfluxDB’s strength lies not just in providing a high-performance time series database, but in the ecosystem of tools and integrations around it. From AI-powered querying capabilities to data lakehouse bridges, there’s an integration for almost every use case.

Whether you are building IoT applications, monitoring infrastructure, or analyzing business metrics, the integrations and tools covered in this blog post provide the foundation for building powerful, scalable solutions.

The tools covered in this blog post are just a small sample of what you can use with InfluxDB. For more info on the ecosystem of tools available for use with InfluxDB, check out this guide.