The Sigma Computing alternative for teams without a data warehouse.
Sigma Computing is a spreadsheet-native BI platform built directly on top of cloud data warehouses (Snowflake, BigQuery, Redshift). Excellent if you have one. DataHub Pro is the alternative for the much larger population of SMB teams who don't have a warehouse — drop in any CSV/Excel, get the same spreadsheet-native analytics with AI insights and editable reports. from $14.99/mo, no warehouse required.
Why teams switch from Sigma to DataHub Pro
If you're searching for a Sigma alternative you usually fall into one of three buckets. Here's what we hear most often from teams who've made the move.
You don't have a cloud data warehouse
Sigma is brilliant if you do. The annual minimum and the warehouse cost combined put it out of reach for most SMBs. DataHub Pro reads CSV/Excel directly — no warehouse needed.
Your data is in spreadsheets, not warehouse tables
If your real data lives in CSV exports from various SaaS tools, Sigma forces you to ETL into a warehouse first. DataHub Pro reads the exports natively.
Pricing fits SMB scale
Sigma's enterprise pricing model assumes 50+ user organisations with dedicated data teams. DataHub Pro at from $14.99/mo is reachable for solo founders and small teams.
Side-by-side comparison
Honest, feature-by-feature. Pricing accurate as of May 2026 based on each vendor's published rates (or, where pricing is custom, our best estimate from public sources and our own conversations).
| DataHub Pro | Sigma | |
|---|---|---|
| Starting price | from $14.99/mo | $300+/user/mo Pro, custom Enterprise |
| Annual minimum | None | $15k+ typical |
| Source: data warehouse | Limited | ✓ Native — primary |
| Source: CSV / Excel | ✓ Primary | Limited |
| Spreadsheet-native interface | ✓ | ✓ Strong — flagship |
| AI insights | ✓ Tool-use | ✓ Sigma AI |
| Holt-Winters forecasting | ✓ | Manual / SQL |
| RFM / cohort / anomaly | ✓ | Manual / SQL |
| Editable DOCX/PPTX | ✓ | PDF / image |
| Setup time | ~2 minutes | Days-weeks (warehouse + Sigma setup) |
Where DataHub Pro is genuinely better
Spreadsheet vs warehouse
Sigma is spreadsheet-native but warehouse-required. The combination prices most SMBs out. DataHub Pro is spreadsheet-native and CSV-readable — the actual data shape SMBs work with.
Pricing fits the SMB segment
Sigma's pricing model is enterprise. Their typical customer has 50+ users and a Snowflake bill. DataHub Pro at from $14.99/mo fits the next tier down: solo founders, 5-person teams, agencies, growth-stage SaaS without a data team.
Built-in advanced analytics
Holt-Winters forecasting, RFM, anomaly detection, cohort — all one-click in DataHub Pro. In Sigma, these are SQL or formula work on top of warehouse data.
Editable client deliverables
Sigma exports to PDF + image. DataHub Pro generates editable Word + PowerPoint with branding. Different deliverable shape.
When Sigma is still the right choice
- You have a Snowflake / BigQuery / Redshift warehouse and want spreadsheet-native BI on top
- You're 50+ users with a dedicated data team
- You need real-time queries on warehouse-scale data
- Per-row security, governance and lineage are formal requirements
For SMBs without a warehouse, DataHub Pro is the right shape; Sigma is enterprise.
Who DataHub Pro is built for
SMB and growth-stage teams that considered Sigma but realised the warehouse + price combination is enterprise-shaped. Spreadsheet-native analytics for the much larger SMB segment.
FAQs
Can DataHub Pro work with my warehouse data?
Yes via export — most warehouses make CSV export trivial. Native warehouse connectors are roadmap. For SMB cadence (weekly/monthly), the export pattern works well.
How does the spreadsheet-native interface compare?
Sigma's spreadsheet interface is more polished and capable for analyst workflows. DataHub Pro's pivot/dashboard builder is simpler — designed for non-analysts. Different audience, different optimisation.
What about row-level security?
Workspace-level access on Pro tier. Row-level RLS roadmap. Sigma has more granular RLS today — important if you're an enterprise; less important if you're SMB.
How does pricing actually work?
DataHub Pro: from $14.99/mo, flat. Cancel any time. Sigma: typical $15k-50k+ annual contract for a small team. Different commercial models.
Can it handle warehouse-scale data?
Per-file: 200 MB / 2M rows. Beyond that, pre-aggregate at warehouse and upload. For SMB use cases that's sufficient; for warehouse-native scale Sigma fits better.
Does it support live queries?
Snapshot pattern — you upload, the analyses run, results are cached. Live query is roadmap. For SMB cadence (refresh weekly/monthly), snapshot is fine.
See it on your own data in 2 minutes.
The free tier doesn't ask for a credit card. Drop in a CSV and the dashboard, insights, and report are ready before your coffee cools.
Compare DataHub Pro to: Tableau · Power BI · Domo · Looker · Looker Studio · Qlik Sense · Databox · Geckoboard · Mode · Metabase · Causal · Rows · Numerous AI