DataboxAgentic analytics platform that helps you analyze, report, and act on performance, automatically
vs
StreamlitA faster way to build and share data apps
Comparison · Business Intelligence · weekly run Nov 2
Databox vs Streamlit
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Databox is the stronger AI pick in Business Intelligence: it has a visibility score of 2 versus 1.7 for Streamlit.
Choose Databox if…
- You want the brand AI engines rank higher (2 vs 1.7)
- You need GDPR coverage
- Permanent free tier rather than temporary trial
- Clearly advertised 20% annual discount
Choose Streamlit if…
- Lets developers build interactive dashboards directly in Python
- Commonly used with Jupyter Notebooks and visualization libraries
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Databox | Streamlit |
|---|---|---|
| Visibility score | 2% | 1.7% |
| Change vs last week | New | New |
| Rank in Business Intelligence | #24 | #26 |
| Share of voice | 0.5% | 0.4% |
| Mentions this run | 3 | 2 |
| Positive in AI answers | 67% | — |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Databox 0pp · Streamlit 0pp over 0 weekly runs.
Engine by engine
Databox leads on 1 of 3 engines
ChatGPT
AI Mode
Perplexity
DataboxStreamlit
Head to head in AI answers
0 engine answers name both brands
0Databox ranked higher
0Streamlit ranked higher
Features, pricing & fit
| Dimension | Databox | Streamlit |
|---|---|---|
| Pricing model | Flat tiers | — |
| Entry price | Free; paid from $71 / mo | — |
| Free plan | Yes | — |
| Deployment | Cloud-hosted SaaS | Run locally, on Streamlit Community Cloud, or on Snowflake |
| Integrations | 130+ | — |
| Compliance | GDPR, SOC 2 Type 1 | SOC 2 Type 1 |
| Support | Chat and email support, Help center, Implementation services | Documentation, Community forum |
| Founded | 2012 | — |
| Headquarters | Boston, MA, United States | — |
| Employees | 51–200 | — |
| Funding | Series A (listed by CB Insights, undisclosed investors) | Series B · $62M raised |
| Best for | Agencies managing performance across many clients, and growing businesses that want analyst-level answers from one governed set of metrics. | Data scientists and AI/ML engineers who want to turn Python scripts into shareable web apps. |
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
Streamlit
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
Streamlit
- Lets developers build interactive dashboards directly in Python
- Commonly used with Jupyter Notebooks and visualization libraries
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Databox vs Streamlit”, https://slateindex.ai/compare/databox-vs-streamlit, data of Nov 2, 2026. Licence: CC BY 4.0.