DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
DataStax Astra DBVector search NoSQL database built on Apache Cassandra.
Comparison · Vector Databases · weekly run Nov 2
Databricks vs DataStax Astra DB
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
DataStax Astra DB is the stronger AI pick in Vector Databases: it has a visibility score of 3 versus 1.4 for Databricks.
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 DataStax Astra DB if…
- You want the brand AI engines rank higher (3 vs 1.4)
- You need a self-hosted or on-premises option
- You need HIPAA or PCI DSS or SOC 2 or ISO/IEC 27001 coverage
- Integrated vector search in one serverless NoSQL database
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Databricks | DataStax Astra DB |
|---|---|---|
| Visibility score | 1.4% | 3% |
| Change vs last week | New | New |
| Rank in Vector Databases | #22 | #18 |
| Share of voice | 0.8% | 1.1% |
| Mentions this run | 4 | 5 |
| 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 · DataStax Astra DB 0pp over 0 weekly runs.
Engine by engine
DataStax Astra DB leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
DatabricksDataStax Astra DB
Head to head in AI answers
0 engine answers name both brands
0Databricks ranked higher
0DataStax Astra DB ranked higher
Features, pricing & fit
| Dimension | Databricks | DataStax Astra DB |
|---|---|---|
| Deployment | Available across all major cloud providers | Cloud database-as-a-service; HCD for on-premises or private cloud |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | HIPAA, PCI DSS, SOC 2, ISO/IEC 27001 |
| Support | Technical support on request, Technical documentation | Documentation |
| Founded | 2013 | — |
| Headquarters | San Francisco, CA | — |
| Employees | 5,000+ | 5,000+ |
| Funding | Round at $60B valuation, including secondary sale | Undisclosed round (last round per Tracxn) |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | Enterprises building generative AI and retrieval-augmented generation applications that need scalable NoSQL storage with vector search. |
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
DataStax Astra DB
- Integrated vector search in one serverless NoSQL database
- Annual commitment and volume discounts
- Built on Apache Cassandra
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databricks vs DataStax Astra DB”, https://slateindex.ai/compare/databricks-vs-datastax-astra-db, data of Nov 2, 2026. Licence: CC BY 4.0.