DataboxAgentic analytics platform that helps you analyze, report, and act on performance, automatically
vs
DatabricksUnified data, analytics and AI platform on an open lakehouse
Comparison · Business Intelligence · weekly run Nov 2
Databox 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 2 for Databox.
Choose Databox if…
- AI answers describe it more positively (67% vs 35% positive)
- You need GDPR or SOC 2 Type 1 coverage
- Permanent free tier rather than temporary trial
- Clearly advertised 20% annual discount
Choose Databricks if…
- You want the brand AI engines rank higher (4.3 vs 2)
- 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 2
| Metric | Databox | Databricks |
|---|---|---|
| Visibility score | 2% | 4.3% |
| Change vs last week | New | New |
| Rank in Business Intelligence | #24 | #18 |
| Share of voice | 0.5% | 1.6% |
| Mentions this run | 3 | 8 |
| Positive in AI answers | 67% | 35% |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Databox 0pp · Databricks 0pp over 0 weekly runs.
Engine by engine
Databricks leads on 2 of 3 engines
ChatGPT
AI Mode
Perplexity
DataboxDatabricks
Head to head in AI answers
0 engine answers name both brands
0Databox ranked higher
0Databricks ranked higher
Features, pricing & fit
| Dimension | Databox | Databricks |
|---|---|---|
| Pricing model | Flat tiers | — |
| Entry price | Free; paid from $71 / mo | — |
| Free plan | Yes | — |
| Deployment | Cloud-hosted SaaS | Available across all major cloud providers |
| Integrations | 130+ | — |
| Compliance | GDPR, SOC 2 Type 1 | ISO 27001, ISO 27017, ISO 27018, ISO 27701, SOC 1, SOC 2 Type II, SOC 3 |
| Support | Chat and email support, Help center, Implementation services | Technical support on request, Technical documentation |
| Founded | 2012 | 2013 |
| Headquarters | Boston, MA, United States | San Francisco, CA |
| Employees | 51–200 | 5,000+ |
| Funding | Series A (listed by CB Insights, undisclosed investors) | Round at $60B valuation, including secondary sale |
| Best for | Agencies managing performance across many clients, and growing businesses that want analyst-level answers from one governed set of metrics. | Data engineering, data science, analytics and AI teams at startups and global enterprises |
Plans side by side
Databox
Free$0month
Analyst$71month, billed annually
Team Core$199month, billed annually
Team Scale$319month, billed annually
Agency$79month, billed annually, plus account packs
CustomCustomcontact sales
Databricks
Pricing not available.
Pros and cons
Themes from the AI answers that mention each brand
Databox
- Permanent free tier rather than temporary trial
- Clearly advertised 20% annual discount
- Free tier limited by user or data-row caps
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, “Databox vs Databricks”, https://slateindex.ai/compare/databox-vs-databricks, data of Nov 2, 2026. Licence: CC BY 4.0.