Top 10 Dataiku Alternatives & Competitors

(186)4.4 out of 5

Explore the best alternatives to Dataiku for users who need new software features or want to try different solutions. Generative AI Infrastructure Software is a widely used technology, and many people are seeking popular, powerful software solutions with reports interface, data discovery, and search. Other important factors to consider when researching alternatives to Dataiku include data analytics and features. The best overall Dataiku alternative is Alteryx. Other similar apps like Dataiku are Vertex AI, Altair AI Studio, Azure Machine Learning, and Tableau. Dataiku alternatives can be found in Generative AI Infrastructure Software but may also be in Analytics Platforms or Data Science and Machine Learning Platforms.

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Best Paid & Free Alternatives to Dataiku

Alteryx
Vertex AI
Altair AI Studio
Azure Machine Learning
Tableau
Databricks Data Intelligence Platform
Amazon SageMaker
Spotfire Analytics

Top 10 Alternatives to Dataiku Recently Reviewed By G2 Community

Browse options below. Based on reviewer data, you can see how Dataiku stacks up to the competition, check reviews from current & previous users in industries like Financial Services, Insurance, and Information Technology and Services, and find the best product for your business.

Alteryx

By Alteryx

4.6/5

(669)

Product Description

Reviewers say compared to Dataiku, Alteryx is:

Easier to set up

Easier to do business with

Easier to admin

Categories in common with Dataiku:

Low-Code Machine Learning Platforms

Big Data Analytics

Data Science and Machine Learning Platforms

By Google

Product Description

Vertex AI is a managed machine learning (ML) platform that helps you build, train, and deploy ML models faster and easier. It includes a unified UI for the entire ML workflow, as well as a variety of tools and services to help you with every step of the process. Vertex AI Workbench is a cloud-based IDE that is included with Vertex AI. It makes it easy to develop and debug ML code. It provides a variety of features to help you with your ML workflow, such as code completion, linting, and debugging. Vertex AI and Vertex AI Workbench are a powerful combination that can help you accelerate your ML development. With Vertex AI, you can focus on building and training your models, while Vertex AI Workbench takes care of the rest. This frees you up to be more productive and creative, and it helps you get your models into production faster. If you're looking for a powerful and easy-to-use ML platform, then Vertex AI is a great option. With Vertex AI, you can build, train, and deploy ML models faster and easier than ever before.

Categories in common with Dataiku:

Low-Code Machine Learning Platforms

Large Language Model Operationalization (LLMOps)

Generative AI Infrastructure

MLOps Platforms

Data Science and Machine Learning Platforms

Altair AI Studio

By Altair

4.6/5

(509)

Product Description

Reviewers say compared to Dataiku, Altair AI Studio is:

Easier to set up

Easier to admin

Easier to do business with

Categories in common with Dataiku:

Low-Code Machine Learning Platforms

Generative AI Infrastructure

Data Science and Machine Learning Platforms

Analytics Platforms

Predictive Analytics

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Tableau

By Salesforce

4.4/5

(3,489)

Product Description

Reviewers say compared to Dataiku, Tableau is:

Slower to reach roi

Easier to admin

Easier to set up

Categories in common with Dataiku:

Analytics Platforms

Predictive Analytics

Databricks Data Intelligence Platform

By Databricks Inc.

4.6/5

(657)

Product Description

Reviewers say compared to Dataiku, Databricks Data Intelligence Platform is:

Easier to set up

Slower to reach roi

Easier to admin

Categories in common with Dataiku:

MLOps Platforms

Big Data Analytics

Data Science and Machine Learning Platforms

Analytics Platforms

Amazon SageMaker

By Amazon Web Services (AWS)

4.2/5

(48)

Product Description

Amazon SageMaker is a fully managed service that enables data scientists and developers to build, train, and deploy machine learning (ML) models at scale. It provides a comprehensive suite of tools and infrastructure, streamlining the entire ML workflow from data preparation to model deployment. With SageMaker, users can quickly connect to training data, select and optimize algorithms, and deploy models in a secure and scalable environment. Key Features and Functionality: - Integrated Development Environments (IDEs): SageMaker offers a unified, web-based interface with built-in IDEs, including JupyterLab and RStudio, facilitating seamless development and collaboration. - Pre-built Algorithms and Frameworks: It includes a selection of optimized ML algorithms and supports popular frameworks like TensorFlow, PyTorch, and Apache MXNet, allowing flexibility in model development. - Automated Model Tuning: SageMaker can automatically tune models to achieve optimal accuracy, reducing the time and effort required for manual adjustments. - Scalable Training and Deployment: The service manages the underlying infrastructure, enabling efficient training of models on large datasets and deploying them across auto-scaling clusters for high availability. - MLOps and Governance: SageMaker provides tools for monitoring, debugging, and managing ML models, ensuring robust operations and compliance with enterprise security standards. Primary Value and Problem Solved: Amazon SageMaker addresses the complexity and resource-intensive nature of developing and deploying ML models. By offering a fully managed environment with integrated tools and scalable infrastructure, it accelerates the ML lifecycle, reduces operational overhead, and enables organizations to derive insights and value from their data more efficiently. This empowers businesses to innovate rapidly and implement AI solutions without the need for extensive in-house expertise or infrastructure management.

Reviewers say compared to Dataiku, Amazon SageMaker is:

Slower to reach roi

Easier to do business with

Easier to admin

Categories in common with Dataiku:

Low-Code Machine Learning Platforms

Generative AI Infrastructure

MLOps Platforms

Data Science and Machine Learning Platforms