For AI agents: the complete documentation index is at llms.txt. Every page is also available as markdown by appending .md to its URL, or by sending an Accept: text/markdown request header.

Third-Party Tools Overview

QuestDB integrates well with a range of third-party tools, offering compatibility with systems for visualization, data ingestion, analytics, and more.

Visualization Tools​

Interact with and visualize your QuestDB data using these powerful visualization platforms:

  • Grafana: Create stunning dashboards and interactive graphs for time-series data visualization.
  • qStudio: A free SQL GUI for query execution, table browsing, and result charting.
  • Superset: Build interactive visualizations and perform ad-hoc data analysis.
  • PowerBI: Create interactive data visualizations and dashboards.
  • Embeddable: A developer toolkit for building customer-facing analytics directly into your app.
Visualize in the Web Console

To chart data without a third-party tool, use notebooks in the QuestDB Web Console. They combine SQL queries, notes, and live charts in one tab.

Data Ingestion and Streaming​

Ingest, store, and process high-throughput and real-time data streams with these integrations:

  • Apache Kafka: A distributed event streaming platform for high-throughput data pipelines.
  • Telegraf: Collect and report metrics from various sources.
  • Redpanda: A Kafka-compatible streaming platform for simplified data pipelines.
  • Apache Flink: Process real-time data streams efficiently.
  • Databento connector: Stream Live market data and run Historical backfills with QuestDB Enterprise. On QuestDB Open Source, see Databento with Python.

Analytics and Processing​

Enhance your data analysis and processing capabilities with QuestDB through these tools:

  • Pandas: Analyze time-series data in Python with powerful data structures.
  • Polars: Process large datasets efficiently with a fast DataFrame library implemented in Rust and Python.
  • Apache Spark: Handle complex data processing tasks at scale.

Workflow Orchestrators​

Automate your data pipelines with these workflow orchestrators:

  • Apache Airflow: A workflow automation tool for scheduling and monitoring tasks through directed acyclic graphs (DAGs).
  • Dagster: A modern workflow orchestrator for data pipelines.

Other Tools​

Improve your interactions with QuestDB using these tools and interfaces:

  • Prometheus: Efficiently store and analyze monitoring metrics.
  • SQLAlchemy: Utilize Python's ORM capabilities for database interactions.
  • MindsDB: Build machine learning models for predictive analytics on time-series data.
  • Cube: Middleware connecting your data sources to your data applications.
  • Ignition: A software suite for industrial automation, including SCADA and IIoT integrations.
  • Airbyte: Sync data from a wide range of sources into QuestDB with an open-source ETL platform.
  • Databento with Python: Ingest market data into QuestDB Open Source using the Python clients. On QuestDB Enterprise, see the Databento connector.

Is there an integration you'd like to see that's not listed? Let us know by opening an issue on QuestDB Github.