CognigyAI agents that get things done. On your platform.
vs
DatabricksUnified data, analytics and AI platform on an open lakehouse
Comparison · AI Agents · weekly run Nov 3
Cognigy 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 AI Agents: it has a visibility score of 3 versus 0.9 for Cognigy, and ranks ahead in 100% of the answers that name both.
Choose Cognigy if…
- Recognised as a Forrester Wave Leader for conversational AI
- Named among leading customer-service voice and chat platforms
- Evaluated in Gartner's Conversational AI Platforms research
Choose Databricks if…
- You want the brand AI engines rank higher (3 vs 0.9)
- 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
AI visibility side by side
Latest weekly run · Nov 3
| Metric | Cognigy | Databricks |
|---|---|---|
| Visibility score | 0.9% | 3% |
| Change vs last week | New | New |
| Rank in AI Agents | #61 | #30 |
| Share of voice | 0.4% | 0.9% |
| Mentions this run | 3 | 6 |
| 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
Cognigy 0pp · Databricks 0pp over 0 weekly runs.
Engine by engine
Databricks leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
CognigyDatabricks
Head to head in AI answers
2 engine answers name both brands
0Cognigy ranked higher
2Databricks ranked higher
| Prompt | Engine | Cognigy | Databricks |
|---|---|---|---|
| Which AI Agents vendors do analysts recommend? | ChatGPT | #27 | #8 |
| Which AI Agents vendors do analysts recommend? | Perplexity | #16 | #2 |
Features, pricing & fit
| Dimension | Cognigy | Databricks |
|---|---|---|
| Deployment | Standalone or inside NiCE CXone | Available across all major cloud providers |
| Integrations | 110+ | — |
| Compliance | — | 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 | Düsseldorf, Germany | San Francisco, CA |
| Employees | 201–500 | 5,000+ |
| Funding | Seed · $175M raised | Round at $60B valuation, including secondary sale |
| Best for | Enterprise customer service and contact center teams | 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
Cognigy
- Recognised as a Forrester Wave Leader for conversational AI
- Named among leading customer-service voice and chat platforms
- Evaluated in Gartner's Conversational AI Platforms research
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, “Cognigy vs Databricks”, https://slateindex.ai/compare/cognigy-vs-databricks, data of Nov 3, 2026. Licence: CC BY 4.0.