DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
Kore.aiEnterprise agentic AI platform for customer service, employee productivity and process automation
Comparison · AI Agents · weekly run Nov 3
Databricks vs Kore.ai
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 2.7 for Kore.ai, and ranks ahead in 100% of the answers that name both.
Choose Databricks if…
- You want the brand AI engines rank higher (3 vs 2.7)
- 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 Kore.ai if…
- AI answers describe it more positively (43% vs 35% positive)
- Named a Gartner Magic Quadrant Leader for conversational AI platforms
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Databricks | Kore.ai |
|---|---|---|
| Visibility score | 3% | 2.7% |
| Change vs last week | New | New |
| Rank in AI Agents | #30 | #33 |
| Share of voice | 0.9% | 1% |
| Mentions this run | 6 | 7 |
| Positive in AI answers | 35% | 43% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Databricks 0pp · Kore.ai 0pp over 0 weekly runs.
Engine by engine
Databricks leads on 2 of 3 engines
ChatGPT
AI Mode
Perplexity
DatabricksKore.ai
Head to head in AI answers
2 engine answers name both brands
2Databricks ranked higher
0Kore.ai ranked higher
| Prompt | Engine | Databricks | Kore.ai |
|---|---|---|---|
| Which AI Agents vendors do analysts recommend? | ChatGPT | #8 | #26 |
| Which AI Agents vendors do analysts recommend? | Perplexity | #2 | #15 |
Features, pricing & fit
| Dimension | Databricks | Kore.ai |
|---|---|---|
| Deployment | Available across all major cloud providers | Cloud-based; Artemis first launched on Microsoft Azure |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | — |
| Support | Technical support on request, Technical documentation | Proof Concierge, Forward Deployed Engineers (FDEs) |
| Founded | 2013 | 2013 |
| Headquarters | San Francisco, CA | San Mateo, California, US |
| Employees | 5,000+ | 501–1,000 |
| Funding | Round at $60B valuation, including secondary sale | Series E-2 |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | Large enterprises running customer service, employee productivity and process automation with AI agents |
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
Kore.ai
- Named a Gartner Magic Quadrant Leader for conversational AI platforms
- Access limited to approved organizations and partners
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databricks vs Kore.ai”, https://slateindex.ai/compare/databricks-vs-kore-ai, data of Nov 3, 2026. Licence: CC BY 4.0.