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description: Tudo sobre Dataiku: preço, alternativas, vantagens e desvantagens, funcionalidades e avaliações de outros usuários. Saiba mais!
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title: Dataiku - Preço, avaliações e classificação - Capterra Brasil 2026
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# Dataiku

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> O Dataiku conecta pessoas, tecnologias e processos, cimentando um caminho rápido, estável e sustentável para a IA corporativa.
> 
> Conclusão: 13 usuários atribuíram a nota **4.6/5**. Melhor classificado para **Probabilidade de recomendação**.

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## Resumo

### Quem usa o Dataiku?

O DSS atende a qualquer empresa, independentemente de nível de experiência, setor ou tamanho, que deseja criar suas próprias vantagens estratégicas usando dados, transformando dados brutos em previsões empresariais relevantes.

## Estatísticas e notas

| Métrica | Classificação | Detalhes |
| **Geral** | **4.6/5** | 13 Avaliações |
| Praticidade | 4.5/5 | Com base em avaliações gerais |
| Suporte ao cliente | 4.4/5 | Com base em avaliações gerais |
| Relação qualidade/preço | 4.3/5 | Com base em avaliações gerais |
| Recursos | 4.5/5 | Com base em avaliações gerais |
| Porcentagem de recomendação | 90% | (9/10 Probabilidade de recomendação) |

## Sobre o fornecedor

- **Empresa**: Dataiku
- **Localização**: Paris France, França
- **Fundada**: 2013

## Contexto comercial

- **Preço inicial**: US$ 0,01
- **Modelo de preços**:  (Versão gratuita disponível) (Teste grátis)
- **Público-alvo**: 2–10, 11–50, 51–200, 201–500, 501–1.000, 1.001–5.000, 5.001–10.000, 10.000+
- **Implantação e plataformas**: Nuvem, SaaS, baseado na web, Mac (desktop), Windows (desktop)
- **Idiomas**: alemão, espanhol, francês, inglês
- **Países disponíveis**: Alemanha, Austrália, Canadá, Espanha, Estados Unidos, França

## Recursos

- Análise de dados preditiva
- Análise estatística
- Aprendizado profundo
- Autoatendimento analítico
- Automatização de processos e fluxos de trabalho
- Biblioteca de algoritmos ML
- Captura e transferência de dados
- Controles/permissões de acesso
- Descoberta de dados
- Extração de dados
- Ferramentas de colaboração
- Formação de modelos
- Gestão do fluxo de trabalho
- Importação/exportação de dados
- Modelagem preditiva
- Múltiplas fontes de dados
- Processamento de linguagem natural
- Relatórios e análise de dados
- Third-Party Integrations
- Visualização de dados

## Opções de suporte

- Email/Help Desk
- FAQs/Fórum
- Base de conhecimento
- Suporte por telefone
- Bate-papo

## Category

- [Programa de Inteligência Artificial](https://www.capterra.com.br/directory/30938/artificial-intelligence/software)

## Categorias relacionadas

- [Programa de Inteligência Artificial](https://www.capterra.com.br/directory/30938/artificial-intelligence/software)
- [Ferramentas de Análise de Dados](https://www.capterra.com.br/directory/31077/data-analysis/software)
- [Software de Machine Learning](https://www.capterra.com.br/directory/31103/machine-learning/software)
- [Ferramentas de Big Data](https://www.capterra.com.br/directory/30851/big-data/software)
- [Software de Administração de Dados](https://www.capterra.com.br/directory/30854/data-governance/software)

## Alternativas

1. [Zoho Analytics](https://www.capterra.com.br/software/129749/zoho-analytics) — 4.4/5 (360 reviews)
2. [Minitab](https://www.capterra.com.br/software/109731/minitab-statistical-software) — 4.5/5 (388 reviews)
3. [Microsoft Power BI](https://www.capterra.com.br/software/176586/power-bi) — 4.6/5 (1871 reviews)
4. [Google Analytics 360](https://www.capterra.com.br/software/177042/google-analytics) — 4.7/5 (8089 reviews)
5. [Tableau](https://www.capterra.com.br/software/77260/tableau) — 4.6/5 (2348 reviews)

## Avaliações

### "Review for Dataiku platform" — 5.0/5

> **Grishma** | *15 de março de 2024* | Química | Taxa de recomendação: 10.0/10
> 
> **Vantagens**: The flow in the Dataiku describes the process flow of the project easily. Scenarios and triggers are there for the automation process. Modeling is easier and shows the validations along with the results. Basic Visualizations can also be done in Dataiku.
> 
> **Desvantagens**: Sometimes it has complexity in creating web applications and to integrate with other tools.
> 
> Overall experience is great because it is a good platform for Data Scientists, Data Analysts and Researchers. It has ML and AI functionalities.

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### "best for non-technical users to view result of coding" — 4.0/5

> **Terry** | *8 de maio de 2025* | Mineração e metais | Taxa de recomendação: 8.0/10
> 
> **Vantagens**: allow both technical users and non technical users to edit the data with code or simply excel style
> 
> **Desvantagens**: the user interface to add pipelines are a but clunky, it is very easy to create a fat finger error

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### "Great Product for Data Science Enablement" — 4.0/5

> **Avaliador Verificado** | *30 de abril de 2022* | Consultoria de gestão | Taxa de recomendação: 7.0/10
> 
> **Vantagens**: The ease of onboarding people onto the platfrom is seemless. In addition, Dataiku provides their own modules that help in getting accustomed to the product. The width of options that you get for analysis is also vast and might be a one stop solution for all data science needs
> 
> **Desvantagens**: The least enjoyable expereince of this product has to be the outages that become frequent with each version revision.
> 
> The breadth of choices that one gets with the product is esstial for anyone transioning to get more data science enablement. This platform is great to have a streamlined and operational portfolio of all your data requirements. There are outages that might occur once in a while but the quick turnaround time ensures that work is not compromised

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### "DataIku is making life easier" — 5.0/5

> **Jaimy** | *14 de fevereiro de 2023* | Publicidade e marketing | Taxa de recomendação: 8.0/10
> 
> **Vantagens**: Truly makes your life and the one of your team easier\! The biggest plus to this program is how over-viewable and de-cluttered. Biggest problem I used to face is having files all over the place, and reports all over the place. Now they can be made more quickly than ever before.
> 
> **Desvantagens**: Personally, the amount of options can be overwhelming. Luckily, Dataiku does offer learning videos on how to use the platform, which I would highly recommend everyone to watch before diving into this platform. However, as mentioned before, it is easy to get lost in the amount of options there are available.

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### "Dataiku - Future of Data Science Platform" — 5.0/5

> **Vivek** | *5 de outubro de 2021* | Serviços e tecnologia da informação | Taxa de recomendação: 10.0/10
> 
> **Vantagens**: time saving, useful for both coders and non-coders, allows for multi-user collaboration and monitoring, creating flowcharts help in maintaining granularity
> 
> **Desvantagens**: It is in the early phase of its launch, 8 years old precisely. Hence, the customer support is not as widespread as other customer supports like stackoverflow, etc.
> 
> Whether the project requires data accumulation, or preprocessing, or data manipulation, or extracting business insights from data, Dataiku is the go-to platform. It covers end-to-end project execution and deployment along with providing API support.

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