DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
LookerAgentic business intelligence and embedded analytics on Google Cloud
Comparison · Business Intelligence · weekly run Nov 2
Databricks vs Looker
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Looker is the stronger AI pick in Business Intelligence: it has a visibility score of 29.8 versus 4.3 for Databricks, and ranks ahead in 100% of the answers that name both.
Choose Databricks if…
- AI answers describe it more positively (35% vs 30% positive)
- You need ISO 27017 or ISO 27018 or ISO 27701 or SOC 1 or SOC 2 Type II or SOC 3 coverage
- Lakehouse architecture combining data warehousing with data lake flexibility
- Strong for machine learning, AI, and data engineering workloads
Choose Looker if…
- You want the brand AI engines rank higher (29.8 vs 4.3)
- You need SOC 2 or FedRAMP or HIPAA coverage
- Governed semantic layer and metric consistency
- Strong integration with Google Cloud, BigQuery and Workspace
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Databricks | Looker |
|---|---|---|
| Visibility score | 4.3% | 29.8% |
| Change vs last week | New | New |
| Rank in Business Intelligence | #18 | #3 |
| Share of voice | 1.6% | 8.1% |
| Mentions this run | 8 | 42 |
| Positive in AI answers | 35% | 30% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Databricks 0pp · Looker 0pp over 0 weekly runs.
Engine by engine
Looker leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
DatabricksLooker
Head to head in AI answers
5 engine answers name both brands
0Databricks ranked higher
5Looker ranked higher
| Prompt | Engine | Databricks | Looker |
|---|---|---|---|
| How do I choose a business intelligence tool for a mid-market team? | ChatGPT | #7 | #3 |
| What are the best Business Intelligence tools in 2026? | ChatGPT | #8 | #3 |
| Best business intelligence tool for enterprise | AI Mode | #7 | #5 |
| Compare the leading Business Intelligence platforms | Perplexity | #7 | #3 |
| Which Business Intelligence vendors do analysts recommend? | ChatGPT | #9 | #8 |
Features, pricing & fit
| Dimension | Databricks | Looker |
|---|---|---|
| Deployment | Available across all major cloud providers | Google Cloud |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | SOC 2, ISO 27001, FedRAMP, HIPAA |
| Support | Technical support on request, Technical documentation | — |
| Founded | 2013 | — |
| Headquarters | San Francisco, CA | — |
| Employees | 5,000+ | — |
| Funding | Round at $60B valuation, including secondary sale | Series E · $280M raised |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | — |
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
Looker
- Governed semantic layer and metric consistency
- Strong integration with Google Cloud, BigQuery and Workspace
- Developer-centric data modeling via LookML
- Around 4.5 out of 5 stars on Gartner Peer Insights
- Quote-only enterprise pricing starting above $60,000 a year
- Poor fit for NoSQL-heavy data stacks or standalone embedded needs
- Less suited to teams using macOS without virtual machines
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databricks vs Looker”, https://slateindex.ai/compare/databricks-vs-looker, data of Nov 2, 2026. Licence: CC BY 4.0.