DatabricksUnified data, analytics and AI platform on an open lakehouse
vs
GoodDataAnalytics, AI, and agents on one data serving plane
Comparison · Business Intelligence · weekly run Nov 2
Databricks vs GoodData
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 0.9 for GoodData.
Choose Databricks if…
- You want the brand AI engines rank higher (4.3 vs 0.9)
- You need 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 GoodData if…
- AI answers describe it more positively (67% vs 35% positive)
- You need a self-hosted or on-premises option
- You need GDPR or WCAG 2.1 AA coverage
- Embedded analytics for customer-facing SaaS products
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Databricks | GoodData |
|---|---|---|
| Visibility score | 4.3% | 0.9% |
| Change vs last week | New | New |
| Rank in Business Intelligence | #18 | #30 |
| Share of voice | 1.6% | 0.5% |
| Mentions this run | 8 | 3 |
| Positive in AI answers | 35% | 67% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Databricks 0pp · GoodData 0pp over 0 weekly runs.
Engine by engine
Databricks leads on 3 of 3 engines
ChatGPT
AI Mode
Perplexity
DatabricksGoodData
Head to head in AI answers
0 engine answers name both brands
0Databricks ranked higher
0GoodData ranked higher
Features, pricing & fit
| Dimension | Databricks | GoodData |
|---|---|---|
| Pricing model | — | Flat tiers |
| Entry price | — | Contact sales |
| Free plan | — | No · 30-day trial |
| Deployment | Available across all major cloud providers | Fully managed SaaS on AWS and Azure, with dedicated cluster, multi-region and self-hosted options on demand |
| Compliance | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 | SOC 2 Type II, ISO 27001, GDPR, WCAG 2.1 AA |
| Support | Technical support on request, Technical documentation | 24/7 technical support worldwide, Community support through a Slack channel, Enterprise: 24/7 prioritized SLAs and a dedicated customer success manager, Enterprise: 99.5% guaranteed uptime SLA |
| Founded | 2013 | 2007 |
| Headquarters | San Francisco, CA | San Francisco, California, United States |
| Employees | 5,000+ | 201–500 |
| Funding | Round at $60B valuation, including secondary sale | Last raise (CB Insights) |
| Best for | Data engineering, data science, analytics and AI teams at startups and global enterprises | Small and medium companies on the Professional plan, and large enterprises on the Enterprise plan, that build embedded analytics, data products and governed AI on one platform |
Plans side by side
Databricks
Pricing not available.
GoodData
ProfessionalCustomplatform fee + per workspace
EnterpriseCustomcustom use-case-based pricing
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
GoodData
- Embedded analytics for customer-facing SaaS products
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databricks vs GoodData”, https://slateindex.ai/compare/databricks-vs-gooddata, data of Nov 2, 2026. Licence: CC BY 4.0.