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.
 - Superset: Build interactive visualizations and perform ad-hoc data analysis.
 - PowerBI: Create interactive data visualizations and dashboards.
 - qStudio: A free SQL GUI for query execution, table browsing, and result charting.
 
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. 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.
 
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.
 - MindsDB: Build machine learning models for predictive analytics on time-series data.
 - Apache Spark: Handle complex data processing
 
Tooling and Interfaces
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.
 
Is there an integration you'd like to see that's not listed? Let us know by opening an issue on QuestDB Github.