Amazon OpenSearchManaged retrieval engine for agentic AI, search, and analytics
vs
DatabricksUnified data, analytics and AI platform on an open lakehouse
Comparison · Vector Databases · weekly run Nov 2
Amazon OpenSearch 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 Amazon OpenSearch.
Choose Amazon OpenSearch if…
- You need HIPAA eligible or PCI DSS or SOC or ISO or FedRAMP or DoD CC SRG or CSA STAR or FIPS 140-2 coverage
Choose Databricks if…
- You want the brand AI engines rank higher (1.4 vs 0)
- You need ISO 27001 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 2
| Metric | Amazon OpenSearch | Databricks |
|---|---|---|
| Visibility score | 0% | 1.4% |
| Change vs last week | New | New |
| Rank in Vector Databases | #28 | #22 |
| Share of voice | 0% | 0.8% |
| Mentions this run | 0 | 4 |
| 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
Amazon OpenSearch 0pp · Databricks 0pp over 0 weekly runs.
Engine by engine
Databricks leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
Amazon OpenSearchDatabricks
Head to head in AI answers
0 engine answers name both brands
0Amazon OpenSearch ranked higher
0Databricks ranked higher
Features, pricing & fit
| Dimension | Amazon OpenSearch | Databricks |
|---|---|---|
| Deployment | Fully managed clusters or the Serverless option | Available across all major cloud providers |
| Compliance | HIPAA eligible, PCI DSS, SOC, ISO, FedRAMP, DoD CC SRG, CSA STAR, FIPS 140-2, ISO 27017 | 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
Amazon OpenSearch
Profile in progress.
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, “Amazon OpenSearch vs Databricks”, https://slateindex.ai/compare/amazon-opensearch-vs-databricks, data of Nov 2, 2026. Licence: CC BY 4.0.