Clickhouse x HEX

Supercharging Self-Service Analytics with ClickHouse and HEX

Unlocking the full potential of your data means making analytics accessible to everyone-not just data engineers. The combination of ClickHouse and HEX (hex.tech) provides a modern, collaborative, and high-performance environment for self-service analytics and data science.

Why ClickHouse + HEX?

  • ClickHouse is a lightning-fast, open-source analytical database built for real-time querying on massive datasets.

  • HEX is a cloud-based notebook and app-building platform that empowers teams to analyze, visualize, and share insights with ease, using both SQL and Python.

Effortless Integration

Getting started is simple:

  • In HEX, add ClickHouse as a data source by providing your connection details (host, port, username, password).

  • HEX handles secure connections and credential management, so teams can focus on analysis instead of setup.

Self-Service Analytics, Reimagined

  • Notebook Interface: HEX offers a flexible, collaborative notebook environment where users can run SQL queries, visualize results, and document their workflow-all in one place.

  • No-Code to Code: Users can build data apps and dashboards directly from SQL queries, or seamlessly switch to Python for deeper analysis and modeling.

  • Interactive Apps: Arrange notebook elements into interactive data apps and publish them for internal or external use, democratizing access to insights.

  • Collaboration: Multiple team members can contribute to the same workspace, making analytics a team sport.

Real-World Example

A recent project analyzed a multi-terabyte GitHub dataset using ClickHouse for storage and querying, with HEX as the analytics and visualization layer. ClickHouse performed heavy aggregations in milliseconds, while HEX provided an interactive, reproducible environment for exploration and dashboarding. The result: real-time insights on massive data, accessible to both technical and non-technical users.

Best Practices

  • Use ClickHouse’s scalability to handle large, complex queries and return results quickly to HEX.

  • Leverage HEX’s app builder to publish interactive dashboards and apps for wider organizational use.

  • Document your analysis steps within HEX notebooks for transparency and reproducibility.

Conclusion

ClickHouse and HEX together create a powerful, user-friendly stack for self-service analytics. With real-time performance, collaborative notebooks, and the ability to turn analysis into interactive apps, this pairing puts data-driven decision-making within everyone’s reach.

“Connecting a ClickHouse project to Hex means everyone can securely and efficiently query data right from the flexible notebook environment, without writing Python code or passing around credentials.”

Ready to get started?

Take the first step to growing your business

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Ready to get started?

Take the first step to growing your business

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Ready to get started?

Take the first step to growing your business

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