Informatique décisionnelle · 303.3K visites mensuelles

Dataiku est la Plateforme d'IA Universelle™, permettant aux organisations de créer, déployer et gérer des applications d'IA et d'analytique. Elle fournit un environnement collaboratif de bout en bout pour que tous, des analystes de données aux data scientists, puissent travailler avec les données, créer des modèles de machine learning et construire des solutions d'IA Générative d'entreprise avec une gouvernance et une scalabilité robustes.

Visiter le site Voir les détails

IBM

Solutions d'entreprise · 16.6M visites mensuelles

IBM propose une plateforme complète d'IA d'entreprise et de cloud hybride, watsonx, conçue pour aider les entreprises à construire, mettre à l'échelle et gouverner l'IA avec confiance et transparence. Elle donne accès aux modèles de fondation propriétaires d'IBM, Granite, à des modèles open source, à un entrepôt de données adapté et à une boîte à outils de gouvernance de l'IA, permettant aux organisations d'accélérer l'innovation et d'automatiser les processus en toute sécurité.

Visiter le site Voir les détails

Dataiku vs IBM : prix, fonctions et trafic

Comparez Dataiku et IBM selon leur positionnement, prix, fonctions, trafic et avis.

Mis à jour 5 août 2026

Aperçu du produit

Dataiku Aperçu du produit

Preview

IBM Aperçu du produit

Preview

Detailed feature comparison

Feature	Dataiku	IBM
Catégorie principale	Informatique décisionnelle	Solutions d'entreprise
Ajouté	2025-08-04	2025-08-07
Tarification	Freemium	Freemium
Site officiel	www.dataiku.com	www.ibm.com
Type de produit	Site web	Site web
Performance data
Note utilisateur	Non vérifié	Non vérifié
Commentaires	0	0
Visites mensuelles	303.3K	16.6M
Croissance mensuelle	-3%	-4.9%
Favoris	85	92
Details	Voir les détails	Voir les détails

Dataiku vs IBM monthly traffic

Compare Dataiku and IBM by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.

How to interpret the traffic data

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.

Dataiku monthly traffic:

Latest traffic

Visites mensuelles

303.3K

Durée moyenne

2:07

Pages par visite

3.33

Taux de rebond

45.75%

Data updated 2026-06-15

Monthly traffic trend

Principales régions

Top 5 countries/regions

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

Sources de trafic

Source type	Percentage	Traffic
Direct	78.12%	237K
Référence	16.17%	49K
E-mail	5.71%	17.3K

Mots-clés

dataikudataiku careersdataiku certificationdataiku sub chunk sizedataiku what language

IBM monthly traffic:

Latest traffic

Visites mensuelles

16.6M

Durée moyenne

7:00

Pages par visite

7.15

Taux de rebond

41.23%

Data updated 2026-06-15

Monthly traffic trend

Principales régions

Top 5 countries/regions

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

Sources de trafic

Source type	Percentage	Traffic
Direct	71.12%	11.8M
Référence	23.76%	3.9M
E-mail	5.12%	850.3K

Mots-clés

chatgptclaude aigeminigemini aiibm

Traffic-based selection guidance: 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.

Usage comparison

Compare the core capabilities of Dataiku and IBM

Dataiku Core features

Low-code No-code

Informatique décisionnelle

Plateforme d'apprentissage automatique

Analyse

IBM Core features

Low-code No-code

Solutions d'entreprise

Analyse de Données

Automatisation

Use cases

Dataiku Use cases

Gouvernance de l'IA

science des données

IA d'entreprise

IA générative

apprentissage automatique

AutoML

Informatique décisionnelle

analyse de données

Préparation des données

low-code

MLOps

IBM Use cases

Gouvernance de l'IA

science des données

IA d'entreprise

IA générative

apprentissage automatique

Conseil en IA

automatisation

Assistant de code

Modèles de fondation

cloud hybride

watsonx

Dataiku vs IBM：In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

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 “Informatique décisionnelle”, while IBM is primarily listed under “Solutions d'entreprise”, 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: Informatique décisionnelle; IBM: Solutions d'entreprise); 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.

What market visibility and monthly traffic mean

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 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.

Product positioning, use cases, and roles

Dataiku and IBM currently overlap in shared categories: Low-code No-code; shared tags: Gouvernance de l'IA, science des données, IA d'entreprise, IA générative et apprentissage automatique. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

Dataiku's unique categories/tags are Informatique décisionnelle, Plateforme d'apprentissage automatique, Analyse, AutoML, analyse de données, Préparation des données, low-code et MLOps; IBM's are Solutions d'entreprise, Analyse de Données, Automatisation, Conseil en IA, automatisation, Assistant de code, Modèles de fondation et cloud hybride. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.

What ratings, comments, and favorites can tell you

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.

Selection guidance by actual need

When to evaluate Dataiku first

Put Dataiku on the priority trial list when the task aligns with “Informatique décisionnelle” and especially Informatique décisionnelle, Plateforme d'apprentissage automatique, Analyse, AutoML, analyse de données et Préparation des données. 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.

When to evaluate IBM first

Put IBM on the priority trial list when the task aligns with “Solutions d'entreprise” and especially Solutions d'entreprise, Analyse de Données, Automatisation, Conseil en IA, automatisation et Assistant de code. 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.

How to validate the recommendation before deciding

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.

FAQ comparative

How should I choose between Dataiku and IBM?

Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.

Where does this comparison data come from?

The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.

What do unknown fields mean?

Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.