Alternatives
Products that do what CH-UI – A Modern Web Interface for ClickHouse Databases does
CH-UI is an open-source web interface for managing and interacting with ClickHouse databases. Key features include an advanced SQL editor with IntelliSense, real-time data visualization, and comprehensive monitoring capabilities. Built with TypeScript and featuring IndexedDB-based caching, it's designed to handle large datasets efficiently. Available as a Docker image for quick deployment.
- 1CU
Hi HN, I've been building CH-UI, an open-source ClickHouse workspace. Today I'm releasing v2, which is a complete rewrite from scratch. v1 was a React SPA served via Docker. v2 is a single Go binary with an embedded Svelte frontend — download, run, open browser. No Docker, no Node, no runtime dependencies. What it does: - Multi-tab SQL editor with autocomplete - Database/table explorer with data preview - Saved queries - Tunnel architecture: run `ch-ui server` on one machine and `ch-ui connect` next to your ClickHouse — secure WebSocket tunnel, no VPN needed - Self-update (`ch-ui…
Feb 2026 · ch-ui.com
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10
- 11
- 12
- 13
- 14
- 15
- 16
- 17
- 18
- 19
While building an IoT telemetry solution, we ran into hurdles with Clickhouse. For one, you can't insert quickly AND durably into Clickhouse without setting up something like Kafka, which gets complicated for quick projects wanting to make use of Clickhouse's powerful features. Then, trying to actually query Clickhouse and show data in a UI required a whole backend API to handle auth and permissions. We figured that all these parts together – fast, durable ingest, row-level and column-level security and roles, and realtime streaming – were a lot of scaffolding to have to rebuild for every…
17d ago · wavehouse.dev
- 20MD
2015 · mongotron.io
- 21LC
2018 · github.com
- 22
- 23CU
2017 · github.com
- 24TT
I've built a type-safe semantic layer in code, for ClickHouse. If you're building analytics off ClickHouse in TypeScript, I would love your feedback. With hypequery there is no platform to adopt, no YAML sprawl. It runs where your app runs. Key features: - Define metrics once, reuse them everywhere: Declare dimensions and measures in one place and then pull from the same source of truth. - Compiles to ClickHouse SQL: No service, no proxy, no extra runtime to deploy. It's a library that generates SQL and runs where your app runs. - Multi-tenancy & Authentication ready: Cross-tenant queries…
Jun 2026 · github.com
Ranked by how close each launch is in meaning, then by votes. Refine with a description →