DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
ElasticsearchThe search database for AI
Comparison · Vector Databases · weekly run Nov 2
Databricks vs Elasticsearch
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Elasticsearch is the stronger AI pick in Vector Databases: it has a visibility score of 14.3 versus 1.4 for Databricks, and ranks ahead in 100% of the answers that name both.
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 3 coverage
- You prefer a larger, established vendor (5,000+ employees)
- Lakehouse architecture combining data warehousing with data lake flexibility
Choose Elasticsearch if…
- You want the brand AI engines rank higher (14.3 vs 1.4)
- You need ISO/IEC 27001 or ISO/IEC 27017 or ISO/IEC 27018 or ISO/IEC 27701 or FedRAMP Moderate or FedRAMP High or PCI DSS or HIPAA or CSA STAR coverage
- Strongest general enterprise choice for vector search alongside full-text search, logs, and analytics
- Widely deployed, often cited as the most widely deployed vector-capable search engine
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Databricks | Elasticsearch |
|---|---|---|
| Visibility score | 1.4% | 14.3% |
| Change vs last week | New | New |
| Rank in Vector Databases | #22 | #7 |
| Share of voice | 0.8% | 5.1% |
| Mentions this run | 4 | 24 |
| Positive in AI answers | 35% | 30% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Databricks 0pp · Elasticsearch 0pp over 0 weekly runs.
Engine by engine
Elasticsearch leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
DatabricksElasticsearch
Head to head in AI answers
2 engine answers name both brands
0Databricks ranked higher
2Elasticsearch ranked higher
| Prompt | Engine | Databricks | Elasticsearch |
|---|---|---|---|
| Compare the leading Vector Databases platforms | ChatGPT | #10 | #7 |
| Best vector database with AI features | Perplexity | #7 | #5 |
Features, pricing & fit
| Dimension | Databricks | Elasticsearch |
|---|---|---|
| Deployment | Available across all major cloud providers | Elastic Cloud Serverless, Elastic Cloud Hosted, or self-managed on premises, in private, hybrid or air-gapped environments. |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | SOC 2 Type II, ISO/IEC 27001, ISO/IEC 27017, ISO/IEC 27018, ISO/IEC 27701, FedRAMP Moderate, FedRAMP High, PCI DSS, HIPAA, CSA STAR |
| Support | Technical support on request, Technical documentation | Four support tiers depending on Elastic Cloud subscription tier, 99.95% monthly uptime SLA for Platinum and Enterprise tiers |
| Founded | 2013 | 2012 |
| Headquarters | San Francisco, CA | San Francisco, California |
| Employees | 5,000+ | 1,001–5,000 |
| Funding | Round at $60B valuation, including secondary sale | IPO (NYSE) |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | Teams building AI search, RAG and vector applications, and organizations that want search, observability and security on one data platform. |
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
Elasticsearch
- Strongest general enterprise choice for vector search alongside full-text search, logs, and analytics
- Widely deployed, often cited as the most widely deployed vector-capable search engine
- Hybrid keyword-plus-semantic search via dense vectors and inverted indexes
- Suited to consolidated stacks and broader search, logging, analytics, or observability platforms
- Existing infrastructure can be leveraged
- Smaller community and ecosystem than PostgreSQL, MySQL, MongoDB
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databricks vs Elasticsearch”, https://slateindex.ai/compare/databricks-vs-elasticsearch, data of Nov 2, 2026. Licence: CC BY 4.0.