Why Synopsis
One platform vs. the five-tool stack.
The traditional route to a data warehouse is a stack of separate vendors — ingestion, warehouse, semantic layer, BI, alerting — plus the engineers to glue it together. Synopsis replaces the whole assembly with one platform that's live in days.
The traditional stack
Five contracts, one integration project, months to first answer.
- Ingestion/ETL tool — pipelines to build and babysit
- Warehouse — powerful, but empty until you model it
- Semantic layer — another tool to define your metrics
- BI tool — dashboards, if someone builds them
- Alerting — bolted on, if at all
- Data engineers — to wire it all together and keep it alive
- Timeline — months before the first trustworthy answer
Synopsis
One subscription. Live in days. No additional vendors needed.
- Ingestion & modeling built in — your systems connect, data lands clean
- The warehouse itself — open, queryable, yours
- Semantic layer included — your metrics, defined once and verified
- BI & analytics included — dashboards from one prompt
- Built-in alerts — the platform watches your data for you
- No data team required — we configure it with you
- Works where you work — Excel, Google Sheets, and Slack included
- AI-ready from day one — your AI tools query it over MCP
The part nobody says out loud
The stack isn't the product. The answers are.
Every tool in the traditional stack is excellent at its layer. But you don't want five excellent layers — you want to ask "which customers are slipping?" and get a number you can defend. That's the whole product. Synopsis collapses the stack because the stack was never the point.
| Capability | Traditional stack | Synopsis |
|---|---|---|
| Live in days, not months | ○ | ● |
| One vendor, one contract | ○ | ● |
| Ingestion & data modeling included | ◐ | ● |
| Ask questions across every system | ◐ | ● |
| Metrics defined once, enforced everywhere | ◐ | ● |
| Dashboards without a BI project | ○ | ● |
| Alerting on your own data | ○ | ● |
| Runs without a dedicated data team | ○ | ● |
| Query-ready for your AI tools (MCP) | ○ | ● |
● Included ◐ Possible with effort or extra tools ○ Not out of the box
Head-to-head
Comparing Synopsis to a specific tool?
Every tool below is one layer of the stack Synopsis replaces. Here's an honest, side-by-side look at how Synopsis compares to the platform you're evaluating.
Cloud data warehouses & lakehouses
Data ingestion & ELT
Transformation & modeling
BI & analytics
All-in-one data platforms
See the difference on your own data.
Bring a question you've been waiting months to answer.
