Dataiku es la Plataforma Universal de IA™, que permite a las organizaciones construir, desplegar y gestionar aplicaciones de IA y análisis. Proporciona un entorno colaborativo de extremo a extremo para que todos, desde analistas de datos hasta científicos de datos, trabajen con datos, creen modelos de aprendizaje automático y construyan soluciones de IA Generativa de nivel empresarial con una gobernanza y escalabilidad robustas.
dflux es una plataforma unificada de ciencia de datos sin código/bajo código que permite a las empresas realizar ingeniería de datos de extremo a extremo, construir modelos de aprendizaje automático y crear visualizaciones interactivas. Simplifica todo el ciclo de vida de los datos, desde la integración y preparación hasta el despliegue de modelos y MLOps, haciendo que el análisis avanzado sea accesible tanto para usuarios técnicos como no técnicos.
Dataiku es la Plataforma Universal de IA™, que permite a las organizaciones construir, desplegar y gestionar aplicaciones de IA y análisis. Proporciona un entorno colaborativo de extremo a extremo para que todos, desde analistas de datos hasta científicos de datos, trabajen con datos, creen modelos de aprendizaje automático y construyan soluciones de IA Generativa de nivel empresarial con una gobernanza y escalabilidad robustas.
dflux es una plataforma unificada de ciencia de datos sin código/bajo código que permite a las empresas realizar ingeniería de datos de extremo a extremo, construir modelos de aprendizaje automático y crear visualizaciones interactivas. Simplifica todo el ciclo de vida de los datos, desde la integración y preparación hasta el despliegue de modelos y MLOps, haciendo que el análisis avanzado sea accesible tanto para usuarios técnicos como no técnicos.
| Feature | Dataiku | dflux |
|---|---|---|
| Categoría principal | Inteligencia de Negocio | Inteligencia de Negocio |
| Añadido | 2025-08-04 | 2025-08-06 |
| Precio | Freemium | De pago |
| Sitio oficial | www.dataiku.com | dflux.ai |
| Tipo de producto | Sitio web | Sitio web |
| Performance data | ||
| Valoración | Sin verificar | Sin verificar |
| Comentarios | 0 | 0 |
| Visitas mensuales | 303.3K | 3.3K |
| Crecimiento mensual | -3% | Sin verificar |
| Favoritos | 85 | 103 |
| Details | Ver detalles | Ver detalles |
Compare Dataiku and dflux by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
In the Dataiku vs dflux monthly traffic comparison, Dataiku currently shows 303.3K visits and dflux shows 3.3K; Dataiku has about 91.8 times the visible traffic of dflux, an absolute difference of about 300K visits. This reflects visible reach, not feature quality or paid users.
Only Dataiku has complete third-party traffic details; dflux 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 |
|---|---|---|
| 🇺🇸United States | 38.95% | 118.1K |
| 🇫🇷France | 28.59% | 86.7K |
| 🇮🇪Ireland | 17.87% | 54.2K |
| 🇯🇵Japan | 8.74% | 26.5K |
| 🇮🇳India | 5.85% | 17.7K |
| Source type | Percentage | Traffic |
|---|---|---|
| Directo | 78.12% | 237K |
| Referido | 16.17% | 49K |
| Correo electrónico | 5.71% | 17.3K |
This in-depth Dataiku vs dflux comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Dataiku is primarily listed under “Inteligencia de Negocio”, while dflux is primarily listed under “Inteligencia de Negocio”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Pricing (Dataiku: Freemium; dflux: Paid); Monthly visits (Dataiku: 303.3K; dflux: 3.3K); Favorites (Dataiku: 85; dflux: 103); Website (Dataiku: www.dataiku.com; dflux: dflux.ai); Added (Dataiku: 2025-08-04; dflux: 2025-08-06). These facts are more useful for selection than brand visibility alone.
In the Dataiku vs dflux monthly traffic comparison, Dataiku currently shows 303.3K visits and dflux shows 3.3K; Dataiku has about 91.8 times the visible traffic of dflux, an absolute difference of about 300K visits. This reflects visible reach, not feature quality or paid users.
Only Dataiku has complete third-party traffic details; dflux 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.
Dataiku and dflux currently overlap in shared categories: Inteligencia de Negocio y Low-code No-code; shared tags: AutoML, Inteligencia de Negocios, ciencia de datos, low-code, aprendizaje automático y MLOps. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Dataiku's unique categories/tags are Plataforma de Aprendizaje Automático, Análisis, Gobernanza de IA, análisis de datos, Preparación de datos, IA Empresarial e IA generativa; dflux's are Ciencia de Datos, Automatización, Ingeniería de Datos, plataforma de datos, visualización de datos, No-code y Análisis Predictivo. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
Dataiku has no verified rating, 0 comments, 85 favorites, and 79 likes；dflux has no verified rating, 0 comments, 103 favorites, and 100 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Put Dataiku on the priority trial list when the task aligns with “Inteligencia de Negocio” and especially Plataforma de Aprendizaje Automático, Análisis, Gobernanza de IA, análisis de datos, Preparación de datos e IA Empresarial. This follows recorded positioning and does not imply unlisted capabilities are absent.
Dataiku also currently records: pricing is freemium, product type is website, 303.3K 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.
Put dflux on the priority trial list when the task aligns with “Inteligencia de Negocio” and especially Ciencia de Datos, Automatización, Ingeniería de Datos, plataforma de datos, visualización de datos y No-code. This follows recorded positioning and does not imply unlisted capabilities are absent.
dflux also currently records: pricing is paid, product type is website, 3.3K 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.
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 Dataiku and dflux, 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.
