Databricks vs Google Vertex AI Vector Search
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Google Vertex AI Vector Search is the stronger AI pick in Vector Databases: it has a visibility score of 1.5 versus 1.4 for Databricks, and ranks ahead in 25% of the answers that name both.
Choose Databricks if…
- 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
- Lakehouse architecture combining data warehousing with data lake flexibility
- Strong for machine learning, AI, and data engineering workloads
- Top customer satisfaction ratings alongside Snowflake
Choose Google Vertex AI Vector Search if…
- You want the brand AI engines rank higher (1.5 vs 1.4)
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Databricks | Google Vertex AI Vector Search |
|---|---|---|
| Visibility score | 1.4% | 1.5% |
| Change vs last week | New | New |
| Rank in Vector Databases | #22 | #21 |
| Share of voice | 0.8% | 0.5% |
| Mentions this run | 4 | 3 |
| Positive in AI answers | 35% | — |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Databricks 0pp · Google Vertex AI Vector Search 0pp over 0 weekly runs.
Engine by engine
Google Vertex AI Vector Search leads on 1 of 3 engines
Head to head in AI answers
4 engine answers name both brands
| Prompt | Engine | Databricks | Google Vertex AI Vector Search |
|---|---|---|---|
| Best vector database for enterprise | ChatGPT | #9 | #8 |
| How much does Databricks cost? | ChatGPT | #1 | #3 |
| How much does Databricks cost? | AI Mode | #1 | #3 |
| How much does Databricks cost? | Perplexity | #1 | #3 |
Features, pricing & fit
| Dimension | Databricks | Google Vertex AI Vector Search |
|---|---|---|
| Deployment | Available across all major cloud providers | Fully managed service on Google Cloud |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | — |
| Support | Technical support on request, Technical documentation | — |
| Founded | 2013 | — |
| Headquarters | San Francisco, CA | — |
| Employees | 5,000+ | 5,000+ |
| Funding | Round at $60B valuation, including secondary sale | — |
| 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
Google Vertex AI Vector Search
Profile in progress.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databricks vs Google Vertex AI Vector Search”, https://slateindex.ai/compare/databricks-vs-google-vertex-ai-vector-search, data of Nov 2, 2026. Licence: CC BY 4.0.