DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
MySQLThe world's most popular open source database
Comparison · Data Warehouse · weekly run Nov 3
Databricks vs MySQL
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 Data Warehouse: it has a visibility score of 37.9 versus 4.2 for MySQL, and ranks ahead in 33% of the answers that name both.
Choose Databricks if…
- You want the brand AI engines rank higher (37.9 vs 4.2)
- 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
Choose MySQL if…
- well suited to transactional workloads
- common primary production database with read replicas
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Databricks | MySQL |
|---|---|---|
| Visibility score | 37.9% | 4.2% |
| Change vs last week | New | New |
| Rank in Data Warehouse | #4 | #18 |
| Share of voice | 9.3% | 1.1% |
| Mentions this run | 52 | 6 |
| 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 · MySQL 0pp over 0 weekly runs.
Engine by engine
Databricks leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
DatabricksMySQL
Head to head in AI answers
3 engine answers name both brands
1Databricks ranked higher
2MySQL ranked higher
| Prompt | Engine | Databricks | MySQL |
|---|---|---|---|
| What should a data warehouse integrate with? | AI Mode | #7 | #2 |
| What should a data warehouse integrate with? | Perplexity | #3 | #2 |
| Best data warehouse for startups | ChatGPT | #3 | #10 |
Features, pricing & fit
| Dimension | Databricks | MySQL |
|---|---|---|
| Deployment | Available across all major cloud providers | Cloud service (HeatWave) and self-managed software using a client-server model, also available as an embeddable library |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | — |
| Support | Technical support on request, Technical documentation | 24x7 direct technical support from MySQL engineers via MySQL Enterprise Edition |
| Founded | 2013 | — |
| Headquarters | San Francisco, CA | Austin, Texas, United States (parent Oracle's headquarters) |
| Employees | 5,000+ | 5,000+ |
| Funding | Round at $60B valuation, including secondary sale | Series C · $39M raised |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | Web-based applications, and ISVs, OEMs and VARs embedding a database in their products |
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
MySQL
- well suited to transactional workloads
- common primary production database with read replicas
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databricks vs MySQL”, https://slateindex.ai/compare/databricks-vs-mysql, data of Nov 3, 2026. Licence: CC BY 4.0.