atSpark vs Sigma
Sigma Computing is the BI tool that brings a spreadsheet interface to your warehouse. atSpark takes a different angle: plain-English AI on top of pre-modeled SaaS metrics — no warehouse setup, no spreadsheet wrangling.
Side-by-side
| atSpark | Alternative | |
|---|---|---|
| Primary audience | ✓ Finance, RevOps, growth (non-technical) | ~ Analysts + power users who think in spreadsheets |
| Setup time | ✓ ~14 minutes | ~ Requires warehouse + ELT |
| Self-serve interface | ✓ Plain-English chat (AI Assist) | ~ Spreadsheet workbooks on warehouse data |
| Pre-built SaaS metrics | ✓ 150+ on day one | ~ Build them yourself in formulas |
| Connectors | ✓ 100+ tools — Stripe, Chargebee, HubSpot, QuickBooks, Xero, NetSuite — one click each | ~ Connects to your warehouse, ELT upstream |
| Embedded analytics | ✓ AI Assist + dashboards (iframe + JWT) | ~ Sigma Embed available |
Where each one wins
atSpark wins for…
- SaaS finance/RevOps without a data team
- Plain-English self-serve from leadership
- Pre-calculated SaaS metrics on day one
- No warehouse to maintain
- 14-min setup over multi-week BI rollout
The alternative wins for…
- Teams with a Snowflake/BigQuery investment already
- Spreadsheet-native analysts comfortable in formulas
- Custom modeling not covered by standard SaaS metrics
- Multi-source data warehousing use cases
- Power users who want full grid editing
When to pick which
Pick atSpark if you are a SaaS company and "we need analytics" means "finance and the CEO want fast answers from existing tools."
Pick Sigma if you have a warehouse and analysts who think in spreadsheets and want full custom modeling.
Run both if Sigma serves your analysts and you want a faster front door for finance/RevOps.
Common questions
Does atSpark replace a warehouse? No — it can sit alongside one or run without one for standard SaaS metrics.
Can I edit data in atSpark like in a spreadsheet? No — atSpark is read-only. For grid editing, Sigma is the right tool.