A business intelligence dashboard for founders that unifies data from tools like Stripe, PostHog, and Google Analytics. Track all key metrics like MRR, user sign-ups, and errors on a single page with no code required.
Graphy is an AI-powered data visualization tool that transforms raw data into beautiful, interactive charts and graphs in seconds. It simplifies data storytelling by automatically identifying key insights, allowing users to chat with their data, and offering extensive customization. Ideal for marketers, analysts, and teams who need to create compelling visual reports and presentations without complex software.
A business intelligence dashboard for founders that unifies data from tools like Stripe, PostHog, and Google Analytics. Track all key metrics like MRR, user sign-ups, and errors on a single page with no code required.
Graphy is an AI-powered data visualization tool that transforms raw data into beautiful, interactive charts and graphs in seconds. It simplifies data storytelling by automatically identifying key insights, allowing users to chat with their data, and offering extensive customization. Ideal for marketers, analysts, and teams who need to create compelling visual reports and presentations without complex software.
| Feature | Databerry | Graphy |
|---|---|---|
| Primary category | 3D | 3D |
| Added | 2026-05-26 | 2025-09-21 |
| Pricing | Freemium | Freemium |
| Official website | databerry.app | graphy.app |
| Product type | Website | Website |
| Performance data | ||
| User rating | Not verified | Not verified |
| Comments | 0 | 0 |
| Monthly visits | 4.2K | 167.6K |
| Monthly growth | Not verified | -16.3% |
| Favorites | 19 | 118 |
| Details | View details | View details |
Compare Databerry and Graphy by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
In the Databerry vs Graphy monthly traffic comparison, Databerry currently shows 4.2K visits and Graphy shows 167.6K; Graphy has about 40.2 times the visible traffic of Databerry, an absolute difference of about 163.4K visits. This reflects visible reach, not feature quality or paid users.
Only Graphy has complete third-party traffic details; Databerry uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇮🇳India | 34.73% | 58.2K |
| 🇰🇭Cambodia | 29.22% | 49K |
| 🇺🇸United States | 20.57% | 34.5K |
| 🇷🇺Russia | 8.1% | 13.6K |
| 🇲🇾Malaysia | 7.38% | 12.4K |
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 86.47% | 144.9K |
| Referral | 11.57% | 19.4K |
| 1.96% | 3.3K |
This in-depth Databerry vs Graphy comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Databerry is primarily listed under “3D”, while Graphy is primarily listed under “3D”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Monthly visits (Databerry: 4.2K; Graphy: 167.6K); Favorites (Databerry: 19; Graphy: 118); Website (Databerry: databerry.app; Graphy: graphy.app); Added (Databerry: 2026-05-26; Graphy: 2025-09-21). These facts are more useful for selection than brand visibility alone.
In the Databerry vs Graphy monthly traffic comparison, Databerry currently shows 4.2K visits and Graphy shows 167.6K; Graphy has about 40.2 times the visible traffic of Databerry, an absolute difference of about 163.4K visits. This reflects visible reach, not feature quality or paid users.
Only Graphy has complete third-party traffic details; Databerry uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.
The current traffic scope is not sufficient for a reliable product ranking. Treat monthly visits as a market-interest signal, then decide using taxonomy, use cases, pricing, and a like-for-like trial rather than reading exposure as product capability.
Databerry and Graphy currently overlap in shared categories: 3D; shared tags: business intelligence and dashboard; shared roles: Data Analyst, Finance Manager, Founder, Marketing Manager, and Product Manager. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Databerry's unique categories/tags are Marketing Analytics, Data Aggregation, data aggregation, founder tools, Google Analytics, mrr tracking, multi-project, and no-code; Graphy's are Business Intelligence, Reporting, Presentations, AI, chart maker, data analysis, Data Storytelling, and data visualization. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
Databerry has no verified rating, 0 comments, 19 favorites, and 9 likes；Graphy has no verified rating, 0 comments, 118 favorites, and 129 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Put Databerry on the priority trial list when the task aligns with “3D” and especially Marketing Analytics, Data Aggregation, data aggregation, founder tools, Google Analytics, and mrr tracking, or the users include Growth Hacker, Sales Manager, and Startup CEO. This follows recorded positioning and does not imply unlisted capabilities are absent.
Databerry also currently records: pricing is freemium, product type is website, 4.2K on-site monthly views, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
Put Graphy on the priority trial list when the task aligns with “3D” and especially Business Intelligence, Reporting, Presentations, AI, chart maker, and data analysis, or the users include Business Owner, Consultant, Content Creator, and Sales Representative. This follows recorded positioning and does not imply unlisted capabilities are absent.
Graphy also currently records: pricing is freemium, product type is website, 167.6K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Databerry and Graphy, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.
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