DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
MastraTypeScript AI Framework for Agents and Apps
Comparison · AI Agents · weekly run Nov 3
Databricks vs Mastra
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 AI Agents: it has a visibility score of 3 versus 1.2 for Mastra.
Choose Databricks if…
- You want the brand AI engines rank higher (3 vs 1.2)
- 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
- You prefer a larger, established vendor (5,000+ employees)
- Lakehouse architecture combining data warehousing with data lake flexibility
Choose Mastra if…
- AI answers describe it more positively (100% vs 35% positive)
- Type-safe, production-grade application code
- Suited to serious production systems
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Databricks | Mastra |
|---|---|---|
| Visibility score | 3% | 1.2% |
| Change vs last week | New | New |
| Rank in AI Agents | #30 | #56 |
| Share of voice | 0.9% | 0.5% |
| Mentions this run | 6 | 3 |
| Positive in AI answers | 35% | 100% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Databricks 0pp · Mastra 0pp over 0 weekly runs.
Engine by engine
Databricks leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
DatabricksMastra
Head to head in AI answers
0 engine answers name both brands
0Databricks ranked higher
0Mastra ranked higher
Features, pricing & fit
| Dimension | Databricks | Mastra |
|---|---|---|
| Pricing model | — | Flat tiers |
| Entry price | — | Free; paid from $250 / mo |
| Free plan | — | Yes |
| Deployment | Available across all major cloud providers | Self-hosted on any Node.js-compatible environment, or hosted on Mastra Cloud and Mastra Platform. |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | — |
| Support | Technical support on request, Technical documentation | Shared Slack support channel (Enterprise), Dedicated support engineer (Enterprise), SLA support 8-5 Monday-Friday, 8am-6pm PST |
| Founded | 2013 | 2024 |
| Headquarters | San Francisco, CA | San Francisco |
| Employees | 5,000+ | 11–50 |
| Funding | Round at $60B valuation, including secondary sale | Series A · $35M raised |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | Developers and teams building AI agents in TypeScript and JavaScript |
Plans side by side
Databricks
Pricing not available.
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
Mastra
- Type-safe, production-grade application code
- Suited to serious production systems
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databricks vs Mastra”, https://slateindex.ai/compare/databricks-vs-mastra, data of Nov 3, 2026. Licence: CC BY 4.0.