ChartMogulThe AI-native stack for subscription intelligence
vs
DatabricksUnified data, analytics and AI platform on an open lakehouse
Comparison · Business Intelligence · weekly run Nov 2
ChartMogul 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 Business Intelligence: it has a visibility score of 4.3 versus 1.2 for ChartMogul.
Choose ChartMogul if…
- You need GDPR coverage
- subscription analytics and cohort analysis
- MRR movement tracking
Choose Databricks if…
- You want the brand AI engines rank higher (4.3 vs 1.2)
- 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
AI visibility side by side
Latest weekly run · Nov 2
| Metric | ChartMogul | Databricks |
|---|---|---|
| Visibility score | 1.2% | 4.3% |
| Change vs last week | New | New |
| Rank in Business Intelligence | #28 | #18 |
| Share of voice | 0.2% | 1.6% |
| Mentions this run | 1 | 8 |
| 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
ChartMogul 0pp · Databricks 0pp over 0 weekly runs.
Engine by engine
Databricks leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
ChartMogulDatabricks
Head to head in AI answers
0 engine answers name both brands
0ChartMogul ranked higher
0Databricks ranked higher
Features, pricing & fit
| Dimension | ChartMogul | Databricks |
|---|---|---|
| Pricing model | Usage-based | — |
| Entry price | Free; paid from $69 / mo | — |
| Free plan | Yes | — |
| Deployment | Cloud-hosted on AWS in the Europe region | Available across all major cloud providers |
| Compliance | SOC 2 Type II, GDPR | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 |
| Support | Data migration and onboarding support, Dedicated SaaS expert support on Enterprise, Dedicated Slack Connect channel on Enterprise | Technical support on request, Technical documentation |
| Founded | 2014 | 2013 |
| Headquarters | Berlin, Germany | San Francisco, CA |
| Employees | 51–200 | 5,000+ |
| Funding | Series A · $4M raised | Round at $60B valuation, including secondary sale |
| Best for | Founders and operators of SaaS and subscription businesses, from bootstrapped startups to enterprise SaaS, with PLG, sales-led or hybrid models. | Data engineering, data science, analytics and AI teams at startups and global enterprises |
Plans side by side
ChartMogul
Free$0month, up to $10K MRR
Starter$69month, billed monthly (lowest ARR tier; scales with ARR)
Pro$119month, billed monthly (lowest ARR tier; scales with ARR)
Enterprise$19,900year, billed annually (from)
Databricks
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
ChartMogul
- subscription analytics and cohort analysis
- MRR movement tracking
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, “ChartMogul vs Databricks”, https://slateindex.ai/compare/chartmogul-vs-databricks, data of Nov 2, 2026. Licence: CC BY 4.0.