Databricks vs KNIME
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 MLOps Platforms: it has a visibility score of 46.2 versus 0.4 for KNIME, and ranks ahead in 0% of the answers that name both.
Choose Databricks if…
- You want the brand AI engines rank higher (46.2 vs 0.4)
- AI answers describe it more positively (35% vs 0% positive)
- You need 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)
Choose KNIME if…
No clear advantage in the published data.
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Databricks | KNIME |
|---|---|---|
| Visibility score | 46.2% | 0.4% |
| Change vs last week | New | New |
| Rank in MLOps Platforms | #2 | #49 |
| Share of voice | 7.6% | 0.1% |
| Mentions this run | 51 | 1 |
| Positive in AI answers | 35% | 0% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Databricks 0pp · KNIME 0pp over 0 weekly runs.
Engine by engine
Databricks leads on 3 of 3 engines
Head to head in AI answers
1 engine answers name both brands
| Prompt | Engine | Databricks | KNIME |
|---|---|---|---|
| What is the difference between an MLOps platform and a data science platform? | ChatGPT | #11 | #7 |
Features, pricing & fit
| Dimension | Databricks | KNIME |
|---|---|---|
| Deployment | Available across all major cloud providers | Installed on the customer's own infrastructure, local, cloud or hybrid, with a SaaS option for small teams |
| Integrations | — | 300+ |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | ISO 27001 |
| Support | Technical support on request, Technical documentation | Customer care team, reached through the contact form |
| Founded | 2013 | 2008 |
| Headquarters | San Francisco, CA | Zurich, Switzerland |
| Employees | 5,000+ | 201–500 |
| Funding | Round at $60B valuation, including secondary sale | Growth round, led by Invus · $50M raised |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | Business experts, data scientists, and MLOps and IT teams in enterprises that need explainable, governed analytics and AI |
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
KNIME
Profile in progress.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databricks vs KNIME”, https://slateindex.ai/compare/databricks-vs-knime, data of Nov 2, 2026. Licence: CC BY 4.0.