Clidey
Open-source, self-hosted data analytics: query 20+ databases with AI and full audit trails.
Pick Clidey when data sovereignty is a hard requirement and you have the infrastructure team to back it — the combination of 20+ database connectors, plain-English querying, and a real audit trail covers ground most open-source BI tools don't. Pass if nobody on your team wants to run a server, or if you need a fully managed analytics product with a support contract attached. The closest alternative is Metabase for lighter self-hosted BI; Clidey goes further on governance and AI querying.
Verified 6d ago · liveness 65/100 · cite: rightaichoice.com/tools/clidey
- Data teams that need self-hosted analytics with granular authorization and audit trails
- Regulated organizations (finance, healthcare) where data cannot leave the network
- Engineers querying across multiple databases without building an ETL pipeline
- Teams wanting AI natural-language querying that never sends data to a third-party cloud
- Individuals or small teams wanting zero-setup analytics with no server to run
- Non-technical users who expect a fully managed SaaS experience and vendor support
- Teams with no one to own deployment, backups, and upgrades
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Skip Clidey if you need a fully managed SaaS BI with zero setup, real-time transaction writing, or you lack dedicated infrastructure for self-hosting.
Pricing is contact-only with no public tiers—you must talk to sales to get any quote, which can slow down procurement.
Clidey's pricing is contact-based, so it's hard to compare directly. For budget-conscious teams, Metabase's open-source edition is free but lacks AI features. For enterprises needing governance, Clidey's open-core model may be more cost-effective than Tableau or Looker over time, especially avoiding per-seat licenses.
In short
Clidey — Open-source, self-hosted data analytics: query 20+ databases with AI and full audit trails. Best for Data teams that need self-hosted analytics with granular authorization and audit trails, Regulated organizations (finance, healthcare) where data cannot leave the network, Engineers querying across multiple databases without building an ETL pipeline. Contact Sales pricing.
What people actually say about Clidey — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
27 mentions across 2 sources (Hacker News, YouTube) · researched Aug 31, 2026.
Average across the 2 sources that answered — each source counts once, not each post.
- +Connects to 20+ databases including major SQL and NoSQL systems.
- +Visual pipeline builder and plain-English AI queries for instant insights.
- +Self-hosted and open-core — no data migration or vendor lock-in.
- +Local AI support (Ollama) in CLI, running entirely on your hardware.
- +Active development and rapid iteration seen in recent Show HN posts.
- −Small team managing four projects raises questions about long-term sustainability.
- −Documentation is sometimes sparse; users end up reverse-engineering configs.
- −Self-hosting setup can be complex, especially for non-infrastructure folks.
- −Tools like Dory and Maith feel less polished than the flagship WhoDB.
- −Enterprise-grade reliability and performance not yet proven at large scale.
- • Self-hosting infrastructure costs (e.g., server setup, storage, and maintenance) are not mentioned but are incurred.
- • Potential premium support and enterprise features might be paid, but pricing isn't public.
Viability Score
How well maintained and how widely used is Clidey? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: September 2026
How we score →Key Features
- Self-hosted data operating system via WhoDB
- 20+ database connectors including Postgres, MySQL, MongoDB, Snowflake
- AI-powered querying in plain English
- Visual pipeline builder for data transformations
- Granular authorization controls per database and table
- Complete audit trail of queries and access
- Open-core licensed under Apache 2.0
- Data stays on your own infrastructure — no migration to a vendor warehouse
- Exportable formats with no vendor lock-in
- Dory: static site generator for MDX documentation
- Dory hot-reload during local documentation development
- Dory deploys to Netlify, Vercel, S3, and GitHub Pages
- Maith: AI-assisted theorem proving for math research
- Deptrust: CLI scanner for AI agent dependencies
About Clidey
Clidey is the company behind WhoDB, an open-source, self-hosted data platform that lets engineering and data teams connect to more than 20 databases — Postgres, MySQL, MongoDB, and Snowflake among them — and explore them through a visual interface. Instead of migrating data into a vendor's warehouse, you point WhoDB at the sources you already run and query them in place, which keeps your data inside your own infrastructure. The vendor also ships a plain-English AI querying layer, so analysts who don't write SQL can pull answers without filing a ticket with the data team. Governance is the other half of the pitch. Granular authorization controls decide who sees which database or table, and a complete audit trail records what was queried and by whom — the kind of paper trail regulated teams need when auditors ask how a number was produced. The project is open-core under the Apache 2.0 license, and exportable formats mean no lock-in if you decide to move on. Clidey's portfolio extends past WhoDB. Dory is a lightweight static site generator for MDX documentation with hot-reload during local development and one-command deploys to Netlify, Vercel, S3, or GitHub Pages. Maith tackles AI-assisted theorem proving for math research, and Deptrust is a CLI that scans AI-agent dependencies. Those are niche utilities, but they signal a company building developer tooling rather than a single-purpose BI product. Clidey is backed by Y Combinator and NVIDIA Inception. The audience is data teams and platform engineers at organizations that can't or won't ship raw data to a SaaS BI vendor — regulated industries, security-conscious engineering orgs, and teams that already run their own infrastructure. If you want a managed analytics product with zero setup, this is the wrong shape of tool entirely.
Behind the Verdict
Most self-hosted BI tools treat governance as an afterthought — you bolt on a role system and hope the audit log is good enough. Clidey built authorization and audit trails into WhoDB from the start, and for a bank, a hospital network, or anyone whose auditor asks "who ran this query," that ordering matters more than any chart library. We'd reach for this when the data can't leave your network but the team still wants self-service analytics. Connecting WhoDB directly to Postgres, MySQL, MongoDB, or Snowflake means no ETL project, no warehouse migration, and no per-seat invoice that grows every time someone new wants a dashboard. The visual pipeline builder covers the transformation work that would otherwise land on an engineer's desk. Where it bites: you are running this yourself. That means a host, backups, upgrades, and someone who owns the deployment when it breaks at 2am. Teams without that person — or without the appetite to become that person — will burn more time on operations than they save on licensing. If your analytics needs are simple and your data isn't sensitive, a managed tool gets you to a first chart faster. The plain-English querying is the feature most likely to change how a team works day to day. Analysts stop queuing behind whoever writes SQL, and the data team stops fielding the same five questions. Treat it as a first-draft generator rather than an oracle, though — verify the generated query before anyone puts the number in a board deck. Worth knowing: Clidey isn't only WhoDB. Dory handles MDX documentation with hot-reload and deploys to Netlify, Vercel, S3, or GitHub Pages; Maith is an AI-assisted theorem prover for math research; Deptrust scans AI-agent dependencies from the CLI. If you came for the analytics platform, those are a bonus,
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Real-world workflow fit
Concrete scenarios for the personas Clidey actually fits — and what changes day-one when you adopt it.
Need to merge data from Postgres and MongoDB for a compliance dashboard, but ensure audit trails for regulatory review.
Outcome: Configure WhoDB to connect both databases, build a visual pipeline to join the data, and set up granular authorization so only certain roles see sensitive fields. The audit trail logs all queries, satisfying compliance.
Executives want to ask questions about patient outcomes without exposing raw data to cloud.
Outcome: Self-host WhoDB, connect to internal SQL Server and Snowflake, and enable AI-powered natural language queries. Executives get answers via a Slack integration (though Slack is mentioned in use cases, not in integrations) while data stays on-premises.
Use Cases
- Generate monthly sales performance reports by querying CRM and ERP data in natural language
- Create a unified customer 360 dashboard merging data from Salesforce, HubSpot, and Zendesk
- Detect anomalies in financial data using automated AI alerts
- Enable executives to ask business questions directly via Slack or Teams integration
- Embed interactive analytics dashboards into customer-facing portals without extra development
Limitations
- Clidey requires proper data source configuration and may have latency with very large datasets.
- There is no free tier or trial publicly available; pricing is contact-based only.
- Self-hosting means you are responsible for maintenance and updates, which could be a burden for small teams.
- The number of database connectors is limited to 20+ compared to some competitors offering 100+.
as of 2026-08-31
Verification history
We have re-verified Clidey 7 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 7 verification passes.
Free to cite with attribution — this page re-verifies continuously.
Where the pricing makes sense
The company stage and team size where Clidey's pricing actually pencils out — and where peers do it cheaper.
Clidey's pricing is contact-based, so it's hard to compare directly. For budget-conscious teams, Metabase's open-source edition is free but lacks AI features. For enterprises needing governance, Clidey's open-core model may be more cost-effective than Tableau or Looker over time, especially avoiding per-seat licenses.
Setup time & first value
How long it actually takes to get something useful out of Clidey — broken out by persona, not the marketing-page minute.
For a data engineer familiar with self-hosting, you can have WhoDB connecting to a database and running AI queries within a day. Non-technical users may need a few days to get comfortable, depending on infrastructure setup.
Switching to or from Clidey
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Metabase: You can connect WhoDB to the same data sources and recreate dashboards, though you'll need to rebuild visualizations manually.
- ↗To Metabase: Export your data models and queries, then rebuild dashboards in Metabase's UI.
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Clidey”, and we withheld 6: 6 could not be judged, because “Clidey” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Clidey.
Official links
Tools that pair well with Clidey
Common stack mates teams adopt alongside Clidey, with the specific reason each pairing earns its keep.
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Featured Head-to-Head Comparisons
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Clidey vs Screenplayiq
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Clidey vs Nectar Energy
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Frequently Asked Questions
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