Apache Superset vs Sigma Computing
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Sigma Computing is the stronger AI pick in Business Intelligence: it has a visibility score of 8 versus 4.3 for Apache Superset, and ranks ahead in 67% of the answers that name both.
Choose Apache Superset if…
- You prefer a larger, established vendor (5,000+ employees)
- modern open-source data exploration and visualization platform
- handles large datasets well
- strong SQL tooling
Choose Sigma Computing if…
- You want the brand AI engines rank higher (8 vs 4.3)
- AI answers describe it more positively (39% vs 25% positive)
- You need SOC 1 Type II or SOC 2 Type II or SOC 3 or HIPAA or ISO 27001 or ISO 27017 or ISO 27018 or ISO 27701 or PCI DSS or GDPR or CCPA or EU-US DPF coverage
- Spreadsheet-like, Excel-style interface on a cloud data warehouse
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Apache Superset | Sigma Computing |
|---|---|---|
| Visibility score | 4.3% | 8% |
| Change vs last week | New | New |
| Rank in Business Intelligence | #19 | #11 |
| Share of voice | 1.6% | 3.4% |
| Mentions this run | 8 | 18 |
| Positive in AI answers | 25% | 39% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Apache Superset 0pp · Sigma Computing 0pp over 0 weekly runs.
Engine by engine
Sigma Computing leads on 3 of 3 engines
Head to head in AI answers
3 engine answers name both brands
| Prompt | Engine | Apache Superset | Sigma Computing |
|---|---|---|---|
| Top business intelligence tool options for B2B SaaS companies | Perplexity | #9 | #5 |
| Alternatives to the most popular business intelligence tool | ChatGPT | #8 | #7 |
| Alternatives to the most popular business intelligence tool | Perplexity | #7 | #12 |
Features, pricing & fit
| Dimension | Apache Superset | Sigma Computing |
|---|---|---|
| Deployment | — | Cloud-native, queries the customer's cloud data warehouse live |
| Compliance | — | SOC 1 Type II, SOC 2 Type II, SOC 3, HIPAA, ISO 27001, ISO 27017, ISO 27018, ISO 27701, PCI DSS, GDPR, CCPA, EU-US DPF |
| Support | — | Help Desk, Community, Documentation, Training |
| Founded | — | 2014 |
| Headquarters | Wilmington, Delaware, United States | San Francisco, California, US |
| Employees | 5,000+ | 501–1,000 |
| Funding | — | Series E |
| Best for | — | Business and technical teams that want governed apps, dashboards and agents on live cloud warehouse data, with IT keeping control of security and spend. |
Pros and cons
Themes from the AI answers that mention each brand
Apache Superset
- modern open-source data exploration and visualization platform
- handles large datasets well
- strong SQL tooling
- free and powerful
- lower licensing costs
- best suited to teams with technical staff for deployment and SQL
Sigma Computing
- Spreadsheet-like, Excel-style interface on a cloud data warehouse
- Named among leading BI platforms and shortlists
- Enterprise-style annual custom-quote contracts, often starting at $30,000 or more per year
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Apache Superset vs Sigma Computing”, https://slateindex.ai/compare/apache-superset-vs-sigma-computing, data of Nov 2, 2026. Licence: CC BY 4.0.