ToolMage
Entrar
Dataiku
Inteligência de Negócios · 303.3K visitas mensais

Dataiku é a Plataforma Universal de IA™, permitindo que organizações construam, implantem e gerenciem aplicações de IA e análise. Ela fornece um ambiente colaborativo de ponta a ponta para todos, de analistas de dados a cientistas de dados, para trabalhar com dados, criar modelos de machine learning e construir soluções de IA Generativa de nível empresarial com governança robusta e escalabilidade.

VS
dflux
Inteligência de Negócios · 3.3K visitas mensais

O dflux é uma plataforma unificada de ciência de dados no-code/low-code que capacita as empresas a realizar engenharia de dados de ponta a ponta, construir modelos de machine learning e criar visualizações interativas. Ele otimiza todo o ciclo de vida dos dados, desde a integração e preparação até a implantação de modelos e MLOps, tornando a análise avançada acessível a usuários técnicos e não técnicos.

Dataiku vs dflux: preços, recursos e tráfego

Compare Dataiku e dflux por posicionamento, preço, recursos, tráfego e avaliações.

Atualizado 5 de ago. de 2026

Visão geral

Dataiku Visão geral

Dataiku é a Plataforma Universal de IA™, permitindo que organizações construam, implantem e gerenciem aplicações de IA e análise. Ela fornece um ambiente colaborativo de ponta a ponta para todos, de analistas de dados a cientistas de dados, para trabalhar com dados, criar modelos de machine learning e construir soluções de IA Generativa de nível empresarial com governança robusta e escalabilidade.

Preview

dflux Visão geral

O dflux é uma plataforma unificada de ciência de dados no-code/low-code que capacita as empresas a realizar engenharia de dados de ponta a ponta, construir modelos de machine learning e criar visualizações interativas. Ele otimiza todo o ciclo de vida dos dados, desde a integração e preparação até a implantação de modelos e MLOps, tornando a análise avançada acessível a usuários técnicos e não técnicos.

Preview

Detailed feature comparison

FeatureDataikudflux
Categoria principalInteligência de NegóciosInteligência de Negócios
Adicionado2025-08-042025-08-06
PreçoFreemiumPago
Site oficialwww.dataiku.comdflux.ai
Tipo de produtoSiteSite
Performance data
AvaliaçãoNão verificadoNão verificado
Comentários00
Visitas mensais303.3K3.3K
Crescimento mensal-3%Não verificado
Favoritos85103
DetailsVer detalhesVer detalhes

Dataiku vs dflux monthly traffic

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

How to interpret the traffic data

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.

Dataiku monthly traffic:

Latest traffic

Visitas mensais
303.3K
Duração média
2:07
Páginas por visita
3.33
Taxa de rejeição
45.75%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 306.9K Visitas mensais
  • 2026/1: 308.1K Visitas mensais
  • 2026/2: 302.3K Visitas mensais
  • 2026/3: 274.9K Visitas mensais
  • 2026/4: 312.8K Visitas mensais
  • 2026/5: 303.3K Visitas mensais

Principais regiões

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States38.95%118.1K
🇫🇷France28.59%86.7K
🇮🇪Ireland17.87%54.2K
🇯🇵Japan8.74%26.5K
🇮🇳India5.85%17.7K

Fontes de tráfego

Source typePercentageTraffic
Direto78.12%237K
Referência16.17%49K
E-mail5.71%17.3K

Palavras-chave

dataikudataiku careersdataiku certificationdataiku sub chunk sizedataiku what language

dflux monthly traffic:

Latest traffic

Visitas mensais
3.3K
Traffic-based selection guidance: 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.

Usage comparison

Compare the core capabilities of Dataiku and dflux

Dataiku Core features

Inteligência de Negócios
Low-code No-code
Plataforma de Aprendizado de Máquina
Análise

dflux Core features

Inteligência de Negócios
Low-code No-code
Ciência de Dados
Automação

Use cases

Dataiku Use cases

AutoML
Inteligência de Negócios
ciência de dados
low-code
aprendizado de máquina
MLOps
Governança de IA
análise de dados
Preparação de dados
IA Empresarial
IA generativa

dflux Use cases

AutoML
Inteligência de Negócios
ciência de dados
low-code
aprendizado de máquina
MLOps
Engenharia de Dados
plataforma de dados
visualização de dados
No-code
Análise Preditiva

Dataiku vs dflux:In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

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 “Inteligência de Negócios”, while dflux is primarily listed under “Inteligência de Negócios”, 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.

What market visibility and monthly traffic mean

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.

Product positioning, use cases, and roles

Dataiku and dflux currently overlap in shared categories: Inteligência de Negócios e Low-code No-code; shared tags: AutoML, Inteligência de Negócios, ciência de dados, low-code, aprendizado de máquina e 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 Aprendizado de Máquina, Análise, Governança de IA, análise de dados, Preparação de dados, IA Empresarial e IA generativa; dflux's are Ciência de Dados, Automação, Engenharia de Dados, plataforma de dados, visualização de dados, No-code e Análise Preditiva. 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;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.

Selection guidance by actual need

When to evaluate Dataiku first

Put Dataiku on the priority trial list when the task aligns with “Inteligência de Negócios” and especially Plataforma de Aprendizado de Máquina, Análise, Governança de IA, análise de dados, Preparação de dados 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.

When to evaluate dflux first

Put dflux on the priority trial list when the task aligns with “Inteligência de Negócios” and especially Ciência de Dados, Automação, Engenharia de Dados, plataforma de dados, visualização de dados e 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.

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 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.

FAQ da comparação

How should I choose between Dataiku and dflux?
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.