CrateDBEuropean real-time analytics database for live operational data
vs
DatabricksUnified data, analytics and AI platform on an open lakehouse
Comparison · Vector Databases · weekly run Nov 2
CrateDB vs Databricks
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 Vector Databases: it has a visibility score of 1.4 versus 0 for CrateDB.
Choose CrateDB if…
- You need ISO 27001 (CrateDB Cloud on AWS and Azure) coverage
- Handles massive time-series, IoT, and operational data in real time
- Strong for high-volume real-time analytics
- Horizontal scalability with SQL access
Choose Databricks if…
- You want the brand AI engines rank higher (1.4 vs 0)
- 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 3 coverage
- You prefer a larger, established vendor (5,000+ employees)
AI visibility side by side
Latest weekly run · Nov 2
| Metric | CrateDB | Databricks |
|---|---|---|
| Visibility score | 0% | 1.4% |
| Change vs last week | New | New |
| Rank in Vector Databases | #29 | #22 |
| Share of voice | 0% | 0.8% |
| Mentions this run | 0 | 4 |
| Positive in AI answers | 0% | 35% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
CrateDB 0pp · Databricks 0pp over 0 weekly runs.
Engine by engine
Databricks leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
CrateDBDatabricks
Head to head in AI answers
0 engine answers name both brands
0CrateDB ranked higher
0Databricks ranked higher
Features, pricing & fit
| Dimension | CrateDB | Databricks |
|---|---|---|
| Pricing model | Usage-based | — |
| Entry price | Free; paid from $0.073 / mo | — |
| Free plan | Yes | — |
| Deployment | On-prem, at the edge, in public or private cloud, or fully managed on CrateDB Cloud or STACKIT. | Available across all major cloud providers |
| Compliance | ISO 27001 (CrateDB Cloud on AWS and Azure), SOC 2 Type II | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 |
| Support | Development support (free plan), Basic support (included with dedicated plans), Premium support (optional) | Technical support on request, Technical documentation |
| Founded | 2013 | 2013 |
| Headquarters | Vienna, Austria | San Francisco, CA |
| Employees | 11–50 | 5,000+ |
| Funding | Seed round (per Caplight, amount not stated) | Round at $60B valuation, including secondary sale |
| Best for | Teams with high-volume, high-cardinality operational data, such as sensor, telemetry and event streams, who need real-time analytics, search and vector queries without ETL. | Data engineering, data science, analytics and AI teams at startups and global enterprises |
Plans side by side
CrateDB
Shared$0.073hour (starting)
Dedicated$0.246hour (starting, incl. basic support)
CustomCustomcontact us
Databricks
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
CrateDB
- Handles massive time-series, IoT, and operational data in real time
- Strong for high-volume real-time analytics
- Horizontal scalability with SQL access
- Weaker than full transactional guarantees
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
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “CrateDB vs Databricks”, https://slateindex.ai/compare/cratedb-vs-databricks, data of Nov 2, 2026. Licence: CC BY 4.0.