Operations · Weekend build
How to Vibe Code Your Own Metabase Alternative
Type a SELECT. Save it. Open the same table tomorrow. Metabase charges $100–$575 per month — that’s $1200–$6900 a year — for something you can replace with focused software of your own. Here is the honest scope, the honest timeline, and the exact prompt to hand your coding agent.
Official pricing. Starter $100/month through Pro $575/month as listed. Yearly billing is $90/month ($1,080/year) and $517.50/month ($6,210/year). Starter adds $6 per user/month after 5 users. Pro adds $12 per user/month after 10 users. Open source and Enterprise quotes excluded. Checked October 19, 2026.
Who this replacement is for
This build targets one analyst running the same read-only questions against one Postgres database. The goal: run a saved SELECT and see the rows without writing a new app for each question. If you need more than that, keep paying — the point of building it yourself is owning a tool shaped exactly like your workflow, not re-implementing a venture-funded roadmap.
Same build, different logo: this v1 also replaces Lightdash and Redash — they all solve the same core job.
How long it actually takes
One number would be a lie, so here are three. Each tier is a real, usable product — pick the one that matches how much of Metabase you actually use.
| Estimate | What you get |
|---|---|
| 12 hours | one database, a saved SELECT, a result table |
| 4 days | a dashboard, a date filter, a bar chart |
| 1 month+ | a click query builder, row permissions, many databases — the part you should probably skip |
What a minimal Metabase alternative needs
- one Postgres connection whose password stays on the server
- a SQL box that runs a single SELECT and shows rows
- saved questions with a name and the SQL text
- a result table with a row cap and a runtime
- a board that lists saved questions and opens the latest result
Data model
Connection, Question, Result, Board
Integrations
read-only Postgres connection
Capability context
Astro, HTMX, D1
The guardrail
Connect with a read-only database role, allow one SELECT only, enforce a statement timeout and a row cap, and never log the password or the result rows.
Deliberate non-goals
Do not build a visual query builder, and do not write or update rows. Retool already covers an internal approval tool. Airtable already covers a typed table you edit by hand.
The complete build prompt
Copy this into your coding agent of choice. It is scoped for a useful v1 — journeys, screens, business rules, data model, security, tests, and acceptance scenarios included. Pick your stack:
You are building a production-ready software product named “Asktable”, a deliberately focused alternative to Metabase. Build a complete, usable vertical slice—not a landing page, static mockup, or disconnected collection of components. WORKING AGREEMENT Before writing implementation code, produce a short technical plan that names the routes or pages, server actions or endpoints, data tables, important state transitions, authorization boundaries, background jobs, and external adapters. Resolve contradictions in favor of the narrow audience and non-goals below. Prefer a small, legible architecture over speculative abstraction, but do not omit persistence, validation, error handling, or tests. PRODUCT BRIEF Primary user: one analyst running the same read-only questions against one Postgres database. Primary outcome: run a saved SELECT and see the rows without writing a new app for each question. Product principle: optimize the exact workflow below instead of copying the full breadth of Metabase. A first-time user should understand what to do from the interface itself, without a tour or documentation. END-TO-END USER JOURNEYS Implement all of these flows through the real interface and persistent data layer: 1. The analyst saves a Postgres connection and runs a SELECT. The rows show in a table. 2. The analyst names that question and opens it again later. The SQL is unchanged. 3. The analyst tries an INSERT. The app refuses it and the database is unchanged. SCREENS AND INFORMATION ARCHITECTURE Build these as coherent responsive views. Each screen must specify its primary action, secondary actions, visible status, validation feedback, empty state, loading or pending state, success confirmation, and recoverable failure state. 1. Connection: host, database, user, a password field, and a test result. 2. Question: SQL, run, row count, runtime, and a row cap notice. 3. Saved questions: name, last run, and open. 4. Board: the saved questions and the latest row count for each. CORE CAPABILITIES 1. one Postgres connection whose password stays on the server 2. a SQL box that runs a single SELECT and shows rows 3. saved questions with a name and the SQL text 4. a result table with a row cap and a runtime 5. a board that lists saved questions and opens the latest result DETAILED BEHAVIOR AND BUSINESS RULES Treat these as server-enforced product requirements, not interface suggestions: 1. Store the database password on the server. Never render it again after save. 2. Run a single statement that starts with SELECT, on a read-only role, with a timeout and a row cap. 3. Reject INSERT, UPDATE, DELETE, and any second statement. Do not send them to the database. 4. Logs may include the question id, the runtime, and the row count. They must not include the password or the result rows. DATA MODEL AND LIFECYCLE Design a small relational schema centered on Connection, Question, Result, Board. Before implementing it, document: 1. Each table’s purpose, primary key, ownership or tenant boundary, timestamps, status fields, and important attributes. 2. Foreign keys, uniqueness constraints, check constraints, indexes needed by the named screens, and transaction boundaries for multi-record changes. 3. The allowed lifecycle or state transitions, who may trigger each transition, which transitions are terminal or reversible, and what audit history must remain immutable. 4. Archive, retention, and deletion behavior, including what happens to dependent records and external files. 5. Idempotency strategy for submissions, jobs, imports, notifications, webhooks, or retries where applicable. Use migrations rather than ad-hoc schema creation. Store time instants consistently and retain named timezone context whenever local schedules or dates matter. Never rely on a counter, disabled button, or client-side check to preserve a business invariant. USERS, AUTHENTICATION, AND PERMISSIONS Implement only the roles required by the stated audience. Make the ownership and visibility model explicit before coding. Enforce authorization in every server-side query and mutation, including search, exports, attachments, live updates, and guessed URLs—not merely by hiding controls. Use secure session defaults, protect state-changing requests, and provide an understandable signed-out, expired-session, and forbidden state. Seed distinct users when multiple roles are required so permissions can be demonstrated and tested. INTERACTION AND VISUAL DIRECTION The product should feel fast, calm, focused, and credible rather than like a generic admin template. Use a clear visual hierarchy, restrained color, readable typography, generous hit targets, and consistent placement for primary actions. Start with server-rendered HTML and progressively enhance only the interactions that benefit from it. The core workflow must remain understandable if enhancement fails. Start with server-rendered Astro pages and ordinary HTML forms on Node.js. Add client JavaScript only for interactions that need browser state, browser APIs, drag-and-drop, or live updates. The core workflow must remain understandable if client JavaScript fails. Design mobile layouts intentionally instead of simply stacking desktop panels. Support keyboard navigation, visible focus, semantic landmarks, explicit labels, useful page titles, reduced-motion preferences, and screen-reader announcements for asynchronous results. Never use color alone to communicate state. Destructive actions require clear scope and confirmation; safe repeated actions should be idempotent. TECHNICAL DIRECTION Build this version with Node.js and Astro. Use Astro for routing, layouts, and server-rendered pages. Start with ordinary HTML forms. Add client JavaScript only when the interface needs it. Prefer Cloudflare D1 for relational persistence, R2 for object storage, Workers for server endpoints and scheduled work, Durable Objects only for coordinated real-time state, and Workflows or Queues for durable background jobs—but only when the product requirements call for them. Keep domain rules in testable server-side modules instead of route handlers or UI components. Separate persistence, external providers, and background work behind small interfaces without building a framework. Prefer ordinary HTML forms and URLs for durable navigation; use optimistic interaction only when failure can be reconciled clearly. The product brief currently identifies Astro, HTMX, D1 as capability context. Preserve any required native, browser-only, edge, storage, real-time, or background-processing capability through a narrow adapter appropriate to the selected framework. If the core workflow genuinely requires native or browser APIs, keep that runtime as the primary execution surface rather than simulating inaccessible capabilities or inventing an unnecessary web surface. Integrate with read-only Postgres connection. For every integration: - List required environment variables in an .env.example without real secrets. - Add a small adapter with timeouts, normalized errors, and a deterministic local fake or development path. - Verify inbound signatures and deduplicate provider events where supported. - Keep credentials server-side, encrypt long-lived provider tokens at rest, and redact secrets and sensitive payloads from logs. - Define retry, backoff, and idempotency behavior for any side effect that can be repeated. SECURITY AND PRIVACY Connect with a read-only database role, allow one SELECT only, enforce a statement timeout and a row cap, and never log the password or the result rows. Validate, normalize, and length-limit all untrusted input on the server. Escape rendered content by default, sanitize any intentionally accepted markup, rate-limit public or abuse-prone actions, and use private object storage plus short-lived authorized URLs for sensitive files. Collect the minimum personal data necessary for the named workflow. Document retention and deletion behavior. Add specific protections for the riskier surfaces in this app, such as uploads, redirects, outbound requests, email delivery, OAuth, webhooks, CSV import or export, and real-time connections. ACCEPTANCE SCENARIOS Automate these app-specific scenarios at the most appropriate level: 1. A SELECT of a known table returns those rows and saves one question. 2. Opening a saved question shows the SQL that was stored, not a rewritten query. 3. An INSERT is rejected, writes no result row, and does not change the database. TESTING Add focused unit tests for state transitions, authorization predicates, normalization, date or money calculations, and other risky domain rules. Add integration tests for persistence constraints and each external adapter’s success, timeout, retry, and rejection paths. Add at least one browser-level test for every end-to-end journey above, including one small-screen viewport. Tests must use isolated data and run through a documented single command. OPERATIONS AND FAILURE RECOVERY Add structured server logs with request, job, or event correlation IDs but no secrets or unnecessarily sensitive data. Make failures actionable in both the interface and logs. Background work must expose pending, succeeded, failed, and retrying states where relevant; do not silently swallow errors. Include safe database migration and rollback guidance, seed data, backup and restore notes, external-data cleanup behavior, and a basic health or diagnostic path appropriate to the stack. DELIVERABLES Ship the working application, migrations, representative seed data, tests, .env.example, and a concise README. The README must cover prerequisites, local setup, environment variables, migrations, seed and test commands, deployment, integration setup, backup and restore, security decisions, and known limitations. Seed data should exercise the happy path plus at least one empty, failed, overdue, expired, archived, or permission-restricted state relevant to the product. DEFINITION OF DONE The app is complete when a fresh developer can follow the README, create and migrate the database, run the app, sign in as each relevant role, complete every named journey using real persisted data, refresh without losing state, recover from common failures, and use the core interface on phone and desktop. All acceptance scenarios pass, permission boundaries are covered by tests, and no core screen is left as a placeholder. NON-GOALS Do not build a visual query builder, and do not write or update rows. Retool already covers an internal approval tool. Airtable already covers a typed table you edit by hand.
You are building a production-ready software product named “Asktable”, a deliberately focused alternative to Metabase. Build a complete, usable vertical slice—not a landing page, static mockup, or disconnected collection of components. WORKING AGREEMENT Before writing implementation code, produce a short technical plan that names the routes or pages, server actions or endpoints, data tables, important state transitions, authorization boundaries, background jobs, and external adapters. Resolve contradictions in favor of the narrow audience and non-goals below. Prefer a small, legible architecture over speculative abstraction, but do not omit persistence, validation, error handling, or tests. PRODUCT BRIEF Primary user: one analyst running the same read-only questions against one Postgres database. Primary outcome: run a saved SELECT and see the rows without writing a new app for each question. Product principle: optimize the exact workflow below instead of copying the full breadth of Metabase. A first-time user should understand what to do from the interface itself, without a tour or documentation. END-TO-END USER JOURNEYS Implement all of these flows through the real interface and persistent data layer: 1. The analyst saves a Postgres connection and runs a SELECT. The rows show in a table. 2. The analyst names that question and opens it again later. The SQL is unchanged. 3. The analyst tries an INSERT. The app refuses it and the database is unchanged. SCREENS AND INFORMATION ARCHITECTURE Build these as coherent responsive views. Each screen must specify its primary action, secondary actions, visible status, validation feedback, empty state, loading or pending state, success confirmation, and recoverable failure state. 1. Connection: host, database, user, a password field, and a test result. 2. Question: SQL, run, row count, runtime, and a row cap notice. 3. Saved questions: name, last run, and open. 4. Board: the saved questions and the latest row count for each. CORE CAPABILITIES 1. one Postgres connection whose password stays on the server 2. a SQL box that runs a single SELECT and shows rows 3. saved questions with a name and the SQL text 4. a result table with a row cap and a runtime 5. a board that lists saved questions and opens the latest result DETAILED BEHAVIOR AND BUSINESS RULES Treat these as server-enforced product requirements, not interface suggestions: 1. Store the database password on the server. Never render it again after save. 2. Run a single statement that starts with SELECT, on a read-only role, with a timeout and a row cap. 3. Reject INSERT, UPDATE, DELETE, and any second statement. Do not send them to the database. 4. Logs may include the question id, the runtime, and the row count. They must not include the password or the result rows. DATA MODEL AND LIFECYCLE Design a small relational schema centered on Connection, Question, Result, Board. Before implementing it, document: 1. Each table’s purpose, primary key, ownership or tenant boundary, timestamps, status fields, and important attributes. 2. Foreign keys, uniqueness constraints, check constraints, indexes needed by the named screens, and transaction boundaries for multi-record changes. 3. The allowed lifecycle or state transitions, who may trigger each transition, which transitions are terminal or reversible, and what audit history must remain immutable. 4. Archive, retention, and deletion behavior, including what happens to dependent records and external files. 5. Idempotency strategy for submissions, jobs, imports, notifications, webhooks, or retries where applicable. Use migrations rather than ad-hoc schema creation. Store time instants consistently and retain named timezone context whenever local schedules or dates matter. Never rely on a counter, disabled button, or client-side check to preserve a business invariant. USERS, AUTHENTICATION, AND PERMISSIONS Implement only the roles required by the stated audience. Make the ownership and visibility model explicit before coding. Enforce authorization in every server-side query and mutation, including search, exports, attachments, live updates, and guessed URLs—not merely by hiding controls. Use secure session defaults, protect state-changing requests, and provide an understandable signed-out, expired-session, and forbidden state. Seed distinct users when multiple roles are required so permissions can be demonstrated and tested. INTERACTION AND VISUAL DIRECTION The product should feel fast, calm, focused, and credible rather than like a generic admin template. Use a clear visual hierarchy, restrained color, readable typography, generous hit targets, and consistent placement for primary actions. Start with server-rendered HTML and progressively enhance only the interactions that benefit from it. The core workflow must remain understandable if enhancement fails. Render with TanStack Start and server-side React by default. Use server functions for authenticated form mutations and add client components only for interactions that genuinely require browser state, browser APIs, drag-and-drop, or live updates. The core workflow must remain understandable before client-side JavaScript finishes loading. Design mobile layouts intentionally instead of simply stacking desktop panels. Support keyboard navigation, visible focus, semantic landmarks, explicit labels, useful page titles, reduced-motion preferences, and screen-reader announcements for asynchronous results. Never use color alone to communicate state. Destructive actions require clear scope and confirmation; safe repeated actions should be idempotent. TECHNICAL DIRECTION Build this version with Node.js and TanStack Start. Use TanStack Router for file-based routes, server functions for authenticated mutations, and server rendering for the first paint. Use a real SQL database with versioned migrations and an isolated test database. Access object storage through a server-only adapter, and run slow or retryable work in a real job or workflow system instead of the request lifecycle. Keep domain rules in testable server-side modules instead of route handlers or UI components. Separate persistence, external providers, and background work behind small interfaces without building a framework. Prefer ordinary HTML forms and URLs for durable navigation; use optimistic interaction only when failure can be reconciled clearly. The product brief currently identifies Astro, HTMX, D1 as capability context. Preserve any required native, browser-only, edge, storage, real-time, or background-processing capability through a narrow adapter appropriate to the selected framework. If the core workflow genuinely requires native or browser APIs, keep that runtime as the primary execution surface rather than simulating inaccessible capabilities or inventing an unnecessary web surface. Integrate with read-only Postgres connection. For every integration: - List required environment variables in an .env.example without real secrets. - Add a small adapter with timeouts, normalized errors, and a deterministic local fake or development path. - Verify inbound signatures and deduplicate provider events where supported. - Keep credentials server-side, encrypt long-lived provider tokens at rest, and redact secrets and sensitive payloads from logs. - Define retry, backoff, and idempotency behavior for any side effect that can be repeated. SECURITY AND PRIVACY Connect with a read-only database role, allow one SELECT only, enforce a statement timeout and a row cap, and never log the password or the result rows. Validate, normalize, and length-limit all untrusted input on the server. Escape rendered content by default, sanitize any intentionally accepted markup, rate-limit public or abuse-prone actions, and use private object storage plus short-lived authorized URLs for sensitive files. Collect the minimum personal data necessary for the named workflow. Document retention and deletion behavior. Add specific protections for the riskier surfaces in this app, such as uploads, redirects, outbound requests, email delivery, OAuth, webhooks, CSV import or export, and real-time connections. ACCEPTANCE SCENARIOS Automate these app-specific scenarios at the most appropriate level: 1. A SELECT of a known table returns those rows and saves one question. 2. Opening a saved question shows the SQL that was stored, not a rewritten query. 3. An INSERT is rejected, writes no result row, and does not change the database. TESTING Add focused unit tests for state transitions, authorization predicates, normalization, date or money calculations, and other risky domain rules. Add integration tests for persistence constraints and each external adapter’s success, timeout, retry, and rejection paths. Add at least one browser-level test for every end-to-end journey above, including one small-screen viewport. Tests must use isolated data and run through a documented single command. OPERATIONS AND FAILURE RECOVERY Add structured server logs with request, job, or event correlation IDs but no secrets or unnecessarily sensitive data. Make failures actionable in both the interface and logs. Background work must expose pending, succeeded, failed, and retrying states where relevant; do not silently swallow errors. Include safe database migration and rollback guidance, seed data, backup and restore notes, external-data cleanup behavior, and a basic health or diagnostic path appropriate to the stack. DELIVERABLES Ship the working application, migrations, representative seed data, tests, .env.example, and a concise README. The README must cover prerequisites, local setup, environment variables, migrations, seed and test commands, deployment, integration setup, backup and restore, security decisions, and known limitations. Seed data should exercise the happy path plus at least one empty, failed, overdue, expired, archived, or permission-restricted state relevant to the product. DEFINITION OF DONE The app is complete when a fresh developer can follow the README, create and migrate the database, run the app, sign in as each relevant role, complete every named journey using real persisted data, refresh without losing state, recover from common failures, and use the core interface on phone and desktop. All acceptance scenarios pass, permission boundaries are covered by tests, and no core screen is left as a placeholder. NON-GOALS Do not build a visual query builder, and do not write or update rows. Retool already covers an internal approval tool. Airtable already covers a typed table you edit by hand.
Frequently asked questions
How long does it take to build your own Metabase?
A basic version — one database, a saved SELECT, a result table — takes about 12 hours. Roughly 4 days gets you a solid v1 with a dashboard, a date filter, a bar chart. Matching everything Metabase really does (a click query builder, row permissions, many databases) is closer to 1 month+, which is exactly why you should scope down instead.
How much does Metabase cost if I keep subscribing?
Metabase runs $100–$575 per month on public paid plans, which is $1200–$6900 per year. A focused self-built replacement costs your build time plus close-to-zero hosting.
What stack should I use to build a Metabase alternative?
The build prompt on this page ships in two flavors: Node.js plus Astro, and TanStack Start. The capability context for this product is Astro, HTMX, D1. I default to Astro because this site already runs that way. Use TanStack Start if React is what you write. The scope matters more than the framework.
What features does a minimal Metabase replacement need?
A useful v1 needs: one Postgres connection whose password stays on the server; a SQL box that runs a single SELECT and shows rows; saved questions with a name and the SQL text; a result table with a row cap and a runtime; a board that lists saved questions and opens the latest result. Everything else is scope creep until you personally miss it.
What should I deliberately not build?
Do not build a visual query builder, and do not write or update rows. Retool already covers an internal approval tool. Airtable already covers a typed table you edit by hand.
Does this build also replace Lightdash and Redash?
Yes. Metabase, Lightdash and Redash all solve the same core job — run a saved SELECT and see the rows without writing a new app for each question. The scoped v1 on this page covers what most people use any of them for, so one focused build replaces whichever you currently pay for.
Read before building your Metabase alternative
- Vibe code your own Metabase
Vibe code your own Metabase as one saved SELECT and a result table. The query builder, row permissions, and warehouse sync are the hard half.
- Build a ConfigCat alternative
Build a ConfigCat alternative as flags, two environments, and a published JSON file. Pro is $110 a month for a toggle you can host yourself.