Analytics and monitoring decision
Equals
A narrow, self-hosted workflow (connectors + audited calculation layer + LLM Q&A) is realistic to build, but Equals’ managed warehouse, compliance, and enterprise services are hard to match and justify keeping paying for larger teams.
Visit website↗No open-source build does this yet
Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.
What a replacement has to do
- Ingest business data, compute audited spreadsheet-style metrics, surface dashboards and charts, and answer natural-language questions with an LLM backed by the same calculations.
What it still won’t have
- Managed Snowflake warehouse hosted by Equals
- Included committed AI spend and built-in LLM agent tuned to your spreadsheets
- Forward-deployed analyst implementation service
- SOC 2 Type II compliance and corporate security controls
- Unlimited connectors and enterprise sync cadence (15-minute syncs)
What remains hard
- Infrastructure at scale
a Snowflake instance we run for you.
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 6 seats.
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 minimal self-hosted Equals-like service using: backend in Python (FastAPI), frontend in React, Postgres for a warehouse, and OpenAI-compatible LLM for Q&A. In scope: connectors to CSV/Stripe/HubSpot/MySQL (polling ETL into Postgres), a calculation layer exposing spreadsheet-style aggregations/materialized views, a REST API that returns computed tables and chart-ready series, a React dashboard with charts and a natural-language Q&A box that translates prompts into SQL queries against the calculation layer and returns numeric answers with provenance. Out of scope: multi-tenant billing, 3rd-party managed Snowflake hosting, enterprise SSO, and SOC2 attestation. Include error handling, input validation, logging, and automated tests for connectors, calc logic, and the Q&A pipeline.
How we checked
How the score was reached
- Pay verdict base20
- 3 cited sources+3
- Hard moats found in the evidence-6
- Evidence score17
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 productEquals home / product
- official pricingEquals pricing
- official productARR Daily Pulse use case
Integrity checks
What held up, and what did not.
