Manage databases, supports PostgreSQL, MySQL, SQLite and more. A web/hosted version of DBeaver. ([Source Code](https://github.com/dbeaver/cloudbeaver)) `Apache-2.0` `Docker`
Best alternatives to WhoDB in 2026
Poking around a database to check or fix some data usually means either firing up a heavyweight desktop app or writing raw SQL by hand. WhoDB is a much lighter alternative — a small, self-hosted tool you can spin up in seconds with Docker that gives you a spreadsheet-style view of your tables, with optional AI chat if you'd rather ask a question in plain English than write the query yourself. WhoDB provides spreadsheet-style data browsing with filtering, sorting and inline editing, interactive schema visualization showing table relationships, a multi-cell query scratchpad with autocomplete, and data import/export. Optional AI integration (Ollama, OpenAI, Anthropic, Gemini) enables natural language queries without being required. It's available as a Docker container, desktop app (macOS/Windows/Snap), or terminal CLI, with MCP server support for AI tool integration, and supports 12+ database types spanning SQL (PostgreSQL, MySQL, SQLite, CockroachDB) and NoSQL/search engines (MongoDB, Redis, Elasticsearch, ClickHouse).
Quick comparison of WhoDB alternatives
| # | Tool | Best for | Price |
|---|---|---|---|
| 1 | Développeurs | — | |
| 2 | Développeurs | — | |
| 3 | Développeurs | — | |
| 4 | Équipes infra/backend gérant des clusters PostgreSQL à grande échelle (pooling, réplicas, sharding) | — | |
| 5 | Développeurs et entreprises construisant des apps ou agents IA ayant besoin d'un backend complet (DB, auth, fonctions, stockage, IA) | — | |
| 6 | Développeurs et analystes qui travaillent sur plusieurs types de bases de données et veulent générer des requêtes SQL en langage naturel | — | |
| 7 | Équipes data/IA d'entreprises régulées ou de grande taille ayant besoin de connecter des données hétérogènes pour des agents IA fiables (audit, gouvernance) | — | |
| 8 | Développeurs et entreprises voulant ajouter une recherche performante (texte + sémantique) sans gérer leur propre infrastructure | — | |
| 9 | AI/ML engineering teams building RAG or large-scale multimodal search and training pipelines | — | |
| 10 | Frontend and full-stack developers and small teams building real-time, multiplayer or offline-capable apps | — | |
| 11 | Developers building local-first, offline-capable or real-time collaborative apps on top of Postgres | — | |
| 12 | Platform engineers and DevOps teams on Kubernetes/OpenShift | Enterprises with data sovereignty or regulatory requirements ruling out public-cloud database services | QA teams needing fast, isolated test database copies | — |
An open-source Postgres proxy that pools connections, load-balances across replicas, and shards data across servers — without app code changes.
- ✓ Combine pooling, load balancing et sharding
- ✓ Two-phase commit pour cohérence cross-shard
A backend-in-a-box for building apps and AI agents that need a database, file storage, real-time updates, and their own APIs — similar to Firebase or Supabase, but built with AI agents as first-class users, not just an afterthought.
- ✓ Passerelle IA et MCP natifs dans le backend
- ✓ Open-source, base PostgreSQL avec RLS
A database tool where you can type a question in plain English — like "show me last month's top customers" — and it writes and runs the correct database query for you, instead of you having to know SQL by heart.
- ✓ Support très large de bases de données (30+)
- ✓ Assistant IA pour générer des requêtes en langage naturel
A database that automatically connects your scattered documents, spreadsheets and files into a web of related facts, so an AI agent can actually understand how they relate instead of guessing.
- ✓ Base open source avec des clients entreprise vérifiables et connus
- ✓ Intégration native MCP pour plusieurs familles d'agents IA
An open-source database built specifically to store and search the huge piles of images, text and embeddings that AI systems train on and search through.
- ✓ Large, active open-source community (11K stars)
- ✓ Used in production by major companies
A real-time database with built-in auth, storage and permissions — like a modern, open-source Firebase where data lives on the client and syncs instantly across users and devices.
- ✓ Database + auth + permissions + storage + sync in one tool
- ✓ Local-first and relational at the same time
A sync engine that keeps a live copy of your Postgres data on each user's device, so apps feel instant and keep working offline instead of waiting on the network for every action.
- ✓ Open-source, self-hostable sync engine (Apache 2.0)
- ✓ HTTP + CDN sync model scales cheaply vs websocket-per-user
Serverless, Git-style branchable PostgreSQL platform for Kubernetes and private cloud, built on distributed NVMe storage for instant, full-copy database branches.
- ✓ Instant, full-copy database branching (under a second even for 1TB databases)
- ✓ Runs entirely in your own infrastructure — full data sovereignty, no public cloud required
FAQ about WhoDB alternatives
- What is the best alternative to WhoDB in 2026?
- Based on our selection, CloudBeaver is the best alternative to WhoDB in 2026. Manage databases, supports PostgreSQL, MySQL, SQLite and more. A web/hosted version of DBeaver. ([Source Code](https://github.com/dbeaver/cloudbeaver)) `Apache-2.0` `Docker`. See our full ranking above to compare all options.
- Is WhoDB free?
- WhoDB is a paid tool. Several alternatives in our selection offer free or freemium versions.
- How many alternatives to WhoDB are there?
- mySelectas has listed 12 alternatives to WhoDB in the Databases & Storage category. Our selection is updated regularly to include the best options available.