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.
IBM ofrece una completa plataforma empresarial de IA y nube híbrida, watsonx, diseñada para ayudar a las empresas a construir, escalar y gobernar la IA con confianza y transparencia. Proporciona acceso a los modelos de base Granite patentados de IBM, modelos de código abierto, un almacén de datos adaptado y un kit de herramientas de gobernanza de IA, capacitando a las organizaciones para acelerar la innovación y automatizar procesos de forma segura.
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.
IBM ofrece una completa plataforma empresarial de IA y nube híbrida, watsonx, diseñada para ayudar a las empresas a construir, escalar y gobernar la IA con confianza y transparencia. Proporciona acceso a los modelos de base Granite patentados de IBM, modelos de código abierto, un almacén de datos adaptado y un kit de herramientas de gobernanza de IA, capacitando a las organizaciones para acelerar la innovación y automatizar procesos de forma segura.
| Feature | Dataiku | IBM |
|---|---|---|
| Categoría principal | Inteligencia de Negocio | Soluciones Empresariales |
| Añadido | 2025-08-04 | 2025-08-07 |
| Precio | Freemium | Freemium |
| Sitio oficial | www.dataiku.com | www.ibm.com |
| Tipo de producto | Sitio web | Sitio web |
| Performance data | ||
| Valoración | Sin verificar | Sin verificar |
| Comentarios | 0 | 0 |
| Visitas mensuales | 303.3K | 16.6M |
| Crecimiento mensual | -3% | -4.9% |
| Favoritos | 85 | 92 |
| Details | Ver detalles | Ver detalles |
Compare Dataiku and IBM by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
In the Dataiku vs IBM monthly traffic comparison, Dataiku currently shows 303.3K visits and IBM shows 16.6M; IBM has about 54.8 times the visible traffic of Dataiku, an absolute difference of about 16.3M visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
IBM is registered at the www.ibm.com/us-en subpage. Because the current data does not state whether other host pages are excluded, treat this as domain-level context rather than independent traffic for one product or project.
| 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 |
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 45.17% | 7.5M |
| 🇮🇳India | 35.23% | 5.9M |
| 🇯🇵Japan | 8.84% | 1.5M |
| 🇨🇦Canada | 5.42% | 900.1K |
| 🇩🇪Germany | 5.34% | 886.8K |
| Source type | Percentage | Traffic |
|---|---|---|
| Directo | 71.12% | 11.8M |
| Referido | 23.76% | 3.9M |
| Correo electrónico | 5.12% | 850.3K |
This in-depth Dataiku vs IBM 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 IBM is primarily listed under “Soluciones Empresariales”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (Dataiku: Inteligencia de Negocio; IBM: Soluciones Empresariales); Monthly visits (Dataiku: 303.3K; IBM: 16.6M); Monthly growth (Dataiku: -3%; IBM: -4.9%); Favorites (Dataiku: 85; IBM: 92); Website (Dataiku: www.dataiku.com; IBM: www.ibm.com). These facts are more useful for selection than brand visibility alone.
In the Dataiku vs IBM monthly traffic comparison, Dataiku currently shows 303.3K visits and IBM shows 16.6M; IBM has about 54.8 times the visible traffic of Dataiku, an absolute difference of about 16.3M visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
IBM is registered at the www.ibm.com/us-en subpage. Because the current data does not state whether other host pages are excluded, treat this as domain-level context rather than independent traffic for one product or project.
IBM is registered under a www.ibm.com subpath, so its large visible total may include the host platform. The current data does not justify choosing IBM for traffic alone; shortlist by unique taxonomy and use case, then validate with the same tasks.
Dataiku and IBM currently overlap in shared categories: Low-code No-code; shared tags: Gobernanza de IA, ciencia de datos, IA Empresarial, IA generativa y aprendizaje automático. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Dataiku's unique categories/tags are Inteligencia de Negocio, Plataforma de Aprendizaje Automático, Análisis, AutoML, Inteligencia de Negocios, análisis de datos, Preparación de datos y low-code; IBM's are Soluciones Empresariales, Análisis de Datos, Automatización, Consultoría de IA, automatización, Asistente de código, Modelos fundacionales y nube híbrida. 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；IBM has no verified rating, 0 comments, 92 favorites, and 76 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 Inteligencia de Negocio, Plataforma de Aprendizaje Automático, Análisis, AutoML, Inteligencia de Negocios y análisis de datos. 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 IBM on the priority trial list when the task aligns with “Soluciones Empresariales” and especially Soluciones Empresariales, Análisis de Datos, Automatización, Consultoría de IA, automatización y Asistente de código. This follows recorded positioning and does not imply unlisted capabilities are absent.
IBM also currently records: pricing is freemium, product type is website, 16.6M monthly visits shown for the registered host (subpage scope unknown), 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 IBM, 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.
