Databricks vs Sisense
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Databricks is the stronger AI pick in Business Intelligence: it has a visibility score of 4.3 versus 4.1 for Sisense, and ranks ahead in 100% of the answers that name both.
Choose Databricks if…
- You want the brand AI engines rank higher (4.3 vs 4.1)
- AI answers describe it more positively (35% vs 17% positive)
- You need ISO 27001 or ISO 27017 or ISO 27018 or ISO 27701 or SOC 1 or SOC 3 coverage
- You prefer a larger, established vendor (5,000+ employees)
Choose Sisense if…
- You need a self-hosted or on-premises option
- You need ISO/IEC 27001 or ISO/IEC 27701 or ISO/IEC 42001:2023 or HIPAA readiness coverage
- Strong embedded analytics for customer-facing products
- Frequently shortlisted among leading BI tools
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Databricks | Sisense |
|---|---|---|
| Visibility score | 4.3% | 4.1% |
| Change vs last week | New | New |
| Rank in Business Intelligence | #18 | #20 |
| Share of voice | 1.6% | 2.3% |
| Mentions this run | 8 | 12 |
| Positive in AI answers | 35% | 17% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Databricks 0pp · Sisense 0pp over 0 weekly runs.
Engine by engine
Databricks leads on 2 of 3 engines
Head to head in AI answers
2 engine answers name both brands
| Prompt | Engine | Databricks | Sisense |
|---|---|---|---|
| What are the best Business Intelligence tools in 2026? | ChatGPT | #8 | #11 |
| Compare the leading Business Intelligence platforms | Perplexity | #7 | #10 |
Features, pricing & fit
| Dimension | Databricks | Sisense |
|---|---|---|
| Pricing model | — | Flat tiers |
| Entry price | — | Contact sales |
| Free plan | — | No |
| Deployment | Available across all major cloud providers | SaaS, dedicated cloud on AWS, Azure or GCP, or on-premises |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | SOC 2 Type II, ISO/IEC 27001, ISO/IEC 27701, ISO/IEC 42001:2023, HIPAA readiness |
| Support | Technical support on request, Technical documentation | Premium support, Dedicated customer success manager |
| Founded | 2013 | 2004 |
| Headquarters | San Francisco, CA | New York, NY, United States |
| Employees | 5,000+ | 501–1,000 |
| Funding | Round at $60B valuation, including secondary sale | Series F (led by Insight Venture Partners) |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | Software companies and product teams that want to ship AI analytics inside their own customer-facing applications, including enterprises in regulated industries. |
Plans side by side
Databricks
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
Databricks
- Lakehouse architecture combining data warehousing with data lake flexibility
- Strong for machine learning, AI, and data engineering workloads
- Top customer satisfaction ratings alongside Snowflake
- Free trial and free Edition for learning
- Discounts for annual prepaid commitments
- Complex consumption-based pricing with no single fixed price
- Best only when ML, Spark, or Python skills are central to the team
Sisense
- Strong embedded analytics for customer-facing products
- Frequently shortlisted among leading BI tools
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databricks vs Sisense”, https://slateindex.ai/compare/databricks-vs-sisense, data of Nov 2, 2026. Licence: CC BY 4.0.