Alternatives
Products that do what Logchef – Open-source schema-agnostic log viewer for ClickHouse does
Hey HN, I'm Karan. I built Logchef because we moved our log workloads to ClickHouse at Zerodha and found the ecosystem lacking for actual log exploration. Tools like Metabase and Grafana are great for dashboards, but log exploration is a different workflow. The Grafana ClickHouse plugin requires manual column configuration for logs, has no field sidebar, and its ad-hoc filters are slow on large tables. Grafana's RBAC is Enterprise-only, and even then it's datasource-level and not at table-level. If someone has access to the ClickHouse datasource, they can query any table. In Logchef, you…
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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
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Hi HN, I'm Kaushik, and I built Rocketgraph. I believe that while other spaces have caught up to the AI wave, the observability space is still lagging behind, using the same tools and dashboards that we use to analyse logs from human-written code. But now the code is written and debugged by AI, so we need to rethink how we do observability where the observer itself is an AI. The problem that I run into is when an alert fires, I have to manually check the Grafana dashboards and write LogQL queries, which is pretty much like greping. But production usually breaks due to a schema mismatch, or a…
Jun 2026 · github.com
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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
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Hey HN We’ve been building Logdash as a lightweight observability tool for side projects and prototypes. Most logging/metrics tools (Prometheus, Grafana, ELK...) are amazing, but feel like overkill when you're just hacking on something small. Logdash gives you: - Real-time logs and custom metrics - Zero config (no YAML, no setup) - One tiny SDK to drop in - Hosted UI with live dashboards We use Logdash to monitor Logdash — our own prod dashboard is public here: https://logdash.io/demo-dashboard Would love feedback, ideas, or questions!
2025 · logdash.io
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Hi HN, there’s a distinct lack of modern self-hosted scale-out query engines. A lot of the innovation in the last 10 years has been in SaaS-only systems. That’s also been true for Firebolt until now. We’re now taking the radical step of offering our query engine as a Docker image that’s free for commercial use without any real restrictions on what you can use it for (basically everything except competing with our SaaS offering). There are helm charts and docker compose files in the repo as well to help you get started. The focus of Firebolt is on low-latency, high-concurrency analytics like…
2025 · github.com
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Frustrated by the complexity and resource drain of multi service monitoring stacks, I built Simon. I wanted a single, lightweight dashboard to replace the heavy stack and the constant need for an SSH client for routine tasks. The result is a resource efficient dashboard in a single Rust binary, just a couple of megabytes in size. Its support for various architectures on Linux also makes it ideal for embedded systems and lightweight SBCs. It integrates: Comprehensive Monitoring: Realtime and historical metrics for the host system and Docker containers (CPU, memory, disk usage, and network…
Nov 2025 · github.com
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2017 · github.com
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Telescope originally started as a ClickHouse-focused log viewer. But while building it, I kept running into the same pattern: when everything worked, logs were in ClickHouse. When things broke, logs were still inside Kubernetes. That gap led to adding Kubernetes as a native log source. This is not meant to replace proper log aggregation. Centralized storage with indexing and retention policies is still the right approach for production. But there are situations where aggregation doesn't help: the logging pipeline is broken, logs are delayed, or you're debugging locally and don't have a…
Feb 2026 · github.com
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We’ve built SQLRooms, an open-source framework for creating single-node data analytics apps powered by DuckDB. It lets you build fully client-side, data-centric apps using React and DuckDB running in the browser (via WebAssembly) or in Electron. No server or backend is required — apps can work offline, preserve data privacy, and run queries on large datasets with sub-second performance. Features: - Query large datasets in browser with DuckDB (WASM) - Modular design for building composable data UIs (query editors, dashboards, notebooks, etc.) - Data privacy-preserving AI assistant that can…
2025 · sqlrooms.org
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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
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Built a log explorer because it's a common, hard and painful problem for devs, but wanted to showcase the process and some tips for scaling that can be applied to similar use cases. Hope you can learn something new · How it started => https://www.tinybird.co/blog-posts/build-a-datadog-alternati... · How I scaled it => https://www.tinybird.co/blog-posts/build-a-datadog-alternati... · My Cursor + sonnet process => https://x.com/alrocar/status/1892653985330258283 · GitHub repo =>…
2025 · logs.tinybird.app
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Hey, I'm Nenad. I built Grafly (https://grafly.io) because I kept reaching for different tools just to sketch out a quick architecture diagram and hating either the UI, color schemes, usage patterns or that I had to log in, or have my doodles stored on someone's server. It's a React/React Flow app that runs entirely in the browser meaning that everything saves to localStorage, nothing leaves your machine. You get basic shapes, AWS/GCP icons, edges with waypoints and shareable URLs that encode the whole diagram in the query string (no backend, just LZ compression). There…
Mar 2026 · grafly.io
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Last year I decided to start a fun side project - a love child of VS Code and NoSQLBooster. I wanted a GUI that looks modern and snappy, minimal, not like 2003 MS Excel with dozens of buttons and dropdowns everywhere. I also wanted it to have a smart autocomplete that actually knows a schema, not just keys of the current collection, but their types and enum values. I wanted to type find({status: "}) and see "pending", "active", "cancelled" in the autocomplete suggestions. As a tech stack, I chose Tauri for the shell, Bun for the sidecar running the MongoDB driver and a tRPC server, and…
May 2026 · monghoul.com
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Over the last year or so I've been building a DB GUI that has all the features I've wanted in a db client. It's built using Tauri (so react for the ui and Rust for all the db interactions, LSP and multiplayer networking). I've been using it as my primary db client for a while but it just recently got to a point where it would make sense for other people to try it so I've [open sourced](https://github.com/getpeek/peek) it and slopped together a website for it. What sets Peek apart from most other solutions is that all queries and results are laid out on an infinite canvas…
Jun 2026 · getpeek.dev
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Visualeaf is a MongoDB GUI I’ve been building over the past year. Stack is Electron + Angular + Spring Boot. There’s a live playground on the site if you want to try it without installing or putting in your connection (I provided one). The goal was to combine a visual workflow with the depth needed for real development work. Most existing MongoDB tools tend to optimize for either beginners or power users, but not both in the same interface. Core features: Query builder that supports full MongoDB query expressiveness + being able to drag and drop elements from the collection to the query…
Apr 2026 · visualeaf.com
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Hello HN! These last few months I've been working on my first open source project: an embedded database written in pure-go. That took me some months, as I had to learn how to deal with such large packages. Until then, all packages I had made were quite small an did not require much. I usually did not have to worry about things like allocation optimization and instance pools until This project. It started when I wanted to make a port of a tool to a TUI environment. I'm actually used to working with TUIs in golang, so that was my language of choice. The tool I wanted to port is written in…
Feb 2026
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Hi, we're the creators of Five, the fastest way to go from database or REST API to web GUI. We automatically translate your data structure into a fully responsive web GUI. Our platform gives you the ability to model a MySQL database, write SQL queries, add business logic and integrations through JavaScript or TypeScript functions and launch a multi-user web app to the cloud in a single click (dev, test and prod environments included). Typical use cases for us are building a database admin panel, REST API GUI or any kind of bespoke business software. I'm posting a link to a code-along…
2024 · five.co
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Hi HN, have been working on this as a side project, would appreciate any feedback :) LogUnify is built around schemas based on protobuf and all the events in LogUnify are structured. By schematizing events, we offer the following benefits: - Consistency: All the events across all platforms and languages are produced in a uniform way with the generated type-safe SDKs, which ensures data consistency from the root. - Shared Understanding: Event schemas with rich data types and metadata are self-explained, which enables different departments from developers to business stakeholders to share the…
2023 · logunify.com
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