AgentCorePlatform for building, deploying, and operating AI agents at scale
vs
DatabricksUnified data, analytics and AI platform on an open lakehouse
Comparison · AI Agents · weekly run Nov 3
AgentCore vs Databricks
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
AgentCore is the stronger AI pick in AI Agents: it has a visibility score of 6.2 versus 3 for Databricks, and ranks ahead in 0% of the answers that name both.
Choose AgentCore if…
- You want the brand AI engines rank higher (6.2 vs 3)
- You need HIPAA eligible or FedRAMP (Class C and D) or SOC 2 or CSA STAR or ISO certifications coverage
- infrastructure-level security
- scalable, feature-rich cloud infrastructure
Choose Databricks if…
- AI answers describe it more positively (35% vs 30% positive)
- 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
AI visibility side by side
Latest weekly run · Nov 3
| Metric | AgentCore | Databricks |
|---|---|---|
| Visibility score | 6.2% | 3% |
| Change vs last week | New | New |
| Rank in AI Agents | #20 | #30 |
| Share of voice | 1.5% | 0.9% |
| Mentions this run | 11 | 6 |
| Positive in AI answers | 30% | 35% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
AgentCore 0pp · Databricks 0pp over 0 weekly runs.
Engine by engine
AgentCore leads on 2 of 3 engines
ChatGPT
AI Mode
Perplexity
AgentCoreDatabricks
Head to head in AI answers
1 engine answers name both brands
0AgentCore ranked higher
1Databricks ranked higher
| Prompt | Engine | AgentCore | Databricks |
|---|---|---|---|
| Which AI Agents vendors do analysts recommend? | ChatGPT | #22 | #8 |
Features, pricing & fit
| Dimension | AgentCore | Databricks |
|---|---|---|
| Deployment | Cloud service on AWS; Runtime instances can also run agents on the customer's own EC2 instances | Available across all major cloud providers |
| Compliance | HIPAA eligible, FedRAMP (Class C and D), SOC 2, CSA STAR, ISO certifications | 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 | Seattle, Washington | 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
AgentCore
- infrastructure-level security
- scalable, feature-rich cloud infrastructure
- one of the world's largest cloud platforms
- developer-centric, requires custom workflow work
- complexity and pricing need careful management
- requires a capable engineering team
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, “AgentCore vs Databricks”, https://slateindex.ai/compare/agentcore-vs-databricks, data of Nov 3, 2026. Licence: CC BY 4.0.