ClickHouse x Fiveonefour

As you probably already know, ClickHouse is a blazingly fast open source analytical database. It’s perfect for use cases like real-time analytics, data warehousing, observability, and machine learning / GenAI. We love ClickHouse here at Fiveonefour, and we’re on a mission to make ClickHouse accessible to every developer. If you’re a developer building on ClickHouse – whether you’re a Robot, Cyborg, or Luddite – you’ve come to the right place ;)

The Fiveonefour tool stack makes it dead simple for any software developer to do awesome things with ClickHouse - awesome things like:

1. Building a complete analytical backend powered by your favorite analytical database, ClickHouse
2. Creating secure, scalable, parameterized API endpoints that wrap Clickhouse queries
3. Managing ClickHouse tables and views through typescript or python interfaces, instead of SQL DDLs
4. Leveraging AI agent co-pilots to build out your Clickhouse-powered analytical backend
5. Sitting AI on top of your existing ClickHouse infrastructure to chat with your data

If you're already running ClickHouse, try out...

Managing your ClickHouse as code:

Moose OSS framework Star lets your whole software dev team interact with ClickHouse through developer-friendly TypeScript or Python interfaces. Your ClickHouse cluster stays exactly where it is - Moose just provides a code layer on top of it.

→ Check out the Moose+ClickHouse quickstart guide to create a TypeScript/Python abstraction layer on top of your existing ClickHouse cluster in minutes

→ Then see the Moose API docs to learn how to create and test analytical API endpoints on top of ClickHouse in native Typescript or Python (all in your local development environment)

Start to chatting with your data in minutes:

Aurora’s MCP enables AI clients (like Claude or Cursor) to sit on top of your ClickHouse deployment – so you can ask natural language questions about your data, and use AI data engineering agents to co-pilot development on your analytical backend.

→ Check out the Aurora quickstart guide to point AI chat/co-pilots at your existing ClickHouse deployment with three commands

If you're new to ClickHouse or still exploring, try out...

Starting local with Moose's dev server:

Get ClickHouse running in your dev environment with just a couple commands, along with a high-performance Rust-based API server, RedPanda streaming engine, and TypeScript/Python runtime for transformations.

→ Check out the standard Moose quickstart guide to start up a complete analytical backend powered by ClickHouse in your local dev environment in seconds

Deploying to production with a git push:

Fiveonefour's Boreal cloud provides secure, scalable, managed hosting for production analytical backends powered by ClickHouse. Includes observability, security, and great developer quality-of-life features like native Github integration and automatic preview branches.

→ Sign up for Boreal to try it out today!