Analytics and monitoring decision
BIG
With only a product name and no feature or pricing detail available, a technical user can realistically build a narrow analytics/dashboard replacement (basic SQL connectors, charts, auth) in about a week, but the full commercial product's integrations, polish, and hosting are not reproducible from the supplied page.
Visit website↗Not priced
No pricing page we fetched carried a figure, so there is nothing to compare against. The build side is still real.
$100one-off38 h to build
$50/mo3 h/mo upkeep
No published price to break even against.
Open-source builds that already do this
Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All BIG alternatives, with the arithmetic →
What a replacement has to do
- Query a data source, visualize results, save dashboards, and share links.
What it still won’t have
- Commercial polish, design and onboarding flows provided by the vendor
- Pre-built connectors beyond basic SQL databases
- Hosted scaling, managed backups, and formal support SLA
- Any proprietary datasets, integrations, or platform-level features the vendor may provide
What remains hard
- Product polish and ongoing maintenance
First-year cost
No published price
BIG does not publish a price we could read, so there is nothing to compare against. What building costs is below.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a small self-hosted analytics dashboard app using React for the frontend, Node.js/Express for the backend, and Postgres for metadata and user storage. Core features: (1) connect to one external SQL data source (Postgres/MySQL) and run parameterized SQL queries, (2) create and save simple visualizations (line, bar, table) mapped to query results, (3) persist dashboards and visualizations in Postgres, (4) email/password user authentication and read-only shareable dashboard links, (5) Dockerfiles for frontend/backend and a docker-compose deployment with an nginx reverse proxy and auto TLS via certbot. Out of scope: multi-tenant billing, dozens of connector types, advanced alerting, and commercial-grade analytics pipelines. Include input validation, error handling, and unit tests for backend query execution and auth flows.
How we checked
How the score was reached
- Partly verdict base52
- An open-source build was found+5
- 3 cited sources+3
- 3/3 assessment runs agreed+4
- Evidence score64
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 3
Every page the run actually retrieved.
- official productBIG - Business Is a Game
- open sourceapache/superset
- open sourcemetabase/metabase
Integrity checks
What held up, and what did not.





