DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
PresetAI-native business intelligence built on Apache Superset
Comparison · Business Intelligence · weekly run Nov 2
Databricks vs Preset
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 0.9 for Preset.
Choose Databricks if…
- You want the brand AI engines rank higher (4.3 vs 0.9)
- AI answers describe it more positively (35% vs 0% positive)
- You need ISO 27001 or ISO 27017 or ISO 27018 or ISO 27701 or SOC 1 or SOC 2 Type II or SOC 3 coverage
- You prefer a larger, established vendor (5,000+ employees)
Choose Preset if…
- You need SOC 2 coverage
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Databricks | Preset |
|---|---|---|
| Visibility score | 4.3% | 0.9% |
| Change vs last week | New | New |
| Rank in Business Intelligence | #18 | #32 |
| Share of voice | 1.6% | 0.3% |
| Mentions this run | 8 | 2 |
| Positive in AI answers | 35% | 0% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Databricks 0pp · Preset 0pp over 0 weekly runs.
Engine by engine
Databricks leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
DatabricksPreset
Head to head in AI answers
0 engine answers name both brands
0Databricks ranked higher
0Preset ranked higher
Features, pricing & fit
| Dimension | Databricks | Preset |
|---|---|---|
| Pricing model | — | Per seat |
| Entry price | — | Free; paid from $20 per seat / mo |
| Free plan | — | Yes |
| Deployment | Available across all major cloud providers | Cloud-hosted SaaS, managed private cloud, on-prem, or embedded analytics |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | SOC 2 |
| Support | Technical support on request, Technical documentation | Standard customer support, Dedicated support via Slack, Enterprise SLA |
| Founded | 2013 | 2019 |
| Headquarters | San Francisco, CA | San Mateo, California, United States |
| Employees | 5,000+ | 51–200 |
| Funding | Round at $60B valuation, including secondary sale | Series C · $48M raised |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | Small teams starting free, and organizations that want managed Apache Superset with the option to migrate to open-source Superset. |
Plans side by side
Databricks
Pricing not available.
Preset
Starter$0forever, up to 5 users
Professional$20user/month, billed annually ($25 billed monthly)
EnterpriseCustomcustom quote
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
Preset
Profile in progress.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databricks vs Preset”, https://slateindex.ai/compare/databricks-vs-preset, data of Nov 2, 2026. Licence: CC BY 4.0.