# Top 10 Dataiku Alternatives & Competitors
**Average Rating:** 4.4/5
**Total Number of Reviews:** 224
If you are considering Dataiku, you may also want to investigate similar alternatives or competitors to find the best solution. Generative AI Infrastructure Software is a widely used technology, and many people are seeking top rated, time saving software solutions with reports interface, data discovery, and search. Other important factors to consider when researching alternatives to Dataiku include analytics tools and data analytics. The best overall Dataiku alternative is Gemini Enterprise Agent Platform. Other similar apps like Dataiku are Alteryx, Altair AI Studio, KNIME, and Databricks. Dataiku alternatives can be found in [Generative AI Infrastructure Software](https://www.g2.com/categories/generative-ai-infrastructure) but may also be in [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms) or [Analytics Platforms](https://www.g2.com/categories/analytics-platforms).


## Best Paid & Free Alternatives to Dataiku
  - [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews)
  - [Alteryx](https://www.g2.com/products/alteryx/reviews)
  - [Altair AI Studio](https://www.g2.com/products/rapidminer-studio/reviews)
  - [KNIME](https://www.g2.com/products/knime-analytics-platform/reviews)
  - [Databricks](https://www.g2.com/products/databricks/reviews)
  - [Azure Machine Learning](https://www.g2.com/products/microsoft-azure-machine-learning/reviews)
  - [Tableau](https://www.g2.com/products/tableau/reviews)
  - [Domo](https://www.g2.com/products/domo/reviews)
  - [Spotfire Analytics](https://www.g2.com/products/spotfire-analytics/reviews)
  - [Amazon SageMaker](https://www.g2.com/products/amazon-sagemaker/reviews)

## 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, Manufacturing, and Consulting, and find the best product for your business.


  ### 1. [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews)
By Google
**Average Rating:** 4.3/5
**Total Reviews:** 660
Gemini Enterprise Agent Platform 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. Gemini Enterprise Agent Platform Workbench is a cloud-based IDE that is included with Gemini Enterprise Agent Platform. 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. Gemini Enterprise Agent Platform and Gemini Enterprise Agent Platform Workbench are a powerful combination that can help you accelerate your ML development. With Gemini Enterprise Agent Platform, you can focus on building and training your models, while Gemini Enterprise Agent Platform 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 Gemini Enterprise Agent Platform is a great option. With Gemini Enterprise Agent Platform, you can build, train, and deploy ML models faster and easier than ever before.


Reviewers say compared to Dataiku, Gemini Enterprise Agent Platform is:
- Easier to set up
Categories in common with Dataiku: [Low-Code Machine Learning Platforms](https://www.g2.com/categories/low-code-machine-learning-platforms), [Large Language Model Operationalization (LLMOps)](https://www.g2.com/categories/large-language-model-operationalization-llmops), [Generative AI Infrastructure](https://www.g2.com/categories/generative-ai-infrastructure), [MLOps Platforms](https://www.g2.com/categories/mlops-platforms), [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms)

**Compare:** [Dataiku vs Gemini Enterprise Agent Platform](https://www.g2.com/compare/dataiku-vs-gemini-enterprise-agent-platform)
**Compare Gemini Enterprise Agent Platform with other alternatives:**
- [Gemini Enterprise Agent Platform vs Alteryx](https://www.g2.com/compare/alteryx-vs-gemini-enterprise-agent-platform)
- [Gemini Enterprise Agent Platform vs Altair AI Studio](https://www.g2.com/compare/rapidminer-studio-vs-gemini-enterprise-agent-platform)
- [Gemini Enterprise Agent Platform vs KNIME](https://www.g2.com/compare/gemini-enterprise-agent-platform-vs-knime-analytics-platform)
- [Gemini Enterprise Agent Platform vs Databricks](https://www.g2.com/compare/databricks-vs-gemini-enterprise-agent-platform)
- [Gemini Enterprise Agent Platform vs Azure Machine Learning](https://www.g2.com/compare/microsoft-azure-machine-learning-vs-gemini-enterprise-agent-platform)
- [Gemini Enterprise Agent Platform vs Tableau](https://www.g2.com/compare/gemini-enterprise-agent-platform-vs-tableau)
- [Gemini Enterprise Agent Platform vs Domo](https://www.g2.com/compare/domo-vs-gemini-enterprise-agent-platform)
- [Gemini Enterprise Agent Platform vs Spotfire Analytics](https://www.g2.com/compare/gemini-enterprise-agent-platform-vs-spotfire-analytics)
- [Gemini Enterprise Agent Platform vs Amazon SageMaker](https://www.g2.com/compare/amazon-sagemaker-vs-gemini-enterprise-agent-platform)

  ### 2. [Alteryx](https://www.g2.com/products/alteryx/reviews)
By Alteryx
**Average Rating:** 4.6/5
**Total Reviews:** 879
Alteryx drives transformational business outcomes through unified analytics, data science, and process automation.


Reviewers say compared to Dataiku, Alteryx is:
- Easier to set up
- Easier to admin
- Easier to do business with
Categories in common with Dataiku: [Low-Code Machine Learning Platforms](https://www.g2.com/categories/low-code-machine-learning-platforms), [Big Data Analytics](https://www.g2.com/categories/big-data-analytics), [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms), [Machine Learning](https://www.g2.com/categories/machine-learning), [Analytics Platforms](https://www.g2.com/categories/analytics-platforms)

**Compare:** [Dataiku vs Alteryx](https://www.g2.com/compare/alteryx-vs-dataiku)
**Compare Alteryx with other alternatives:**
- [Alteryx vs Gemini Enterprise Agent Platform](https://www.g2.com/compare/alteryx-vs-gemini-enterprise-agent-platform)
- [Alteryx vs Altair AI Studio](https://www.g2.com/compare/rapidminer-studio-vs-alteryx)
- [Alteryx vs KNIME](https://www.g2.com/compare/alteryx-vs-knime-analytics-platform)
- [Alteryx vs Databricks](https://www.g2.com/compare/alteryx-vs-databricks)
- [Alteryx vs Azure Machine Learning](https://www.g2.com/compare/alteryx-vs-microsoft-azure-machine-learning)
- [Alteryx vs Tableau](https://www.g2.com/compare/alteryx-vs-tableau)
- [Alteryx vs Domo](https://www.g2.com/compare/alteryx-vs-domo)
- [Alteryx vs Spotfire Analytics](https://www.g2.com/compare/alteryx-vs-spotfire-analytics)
- [Alteryx vs Amazon SageMaker](https://www.g2.com/compare/alteryx-vs-amazon-sagemaker)

  ### 3. [Altair AI Studio](https://www.g2.com/products/rapidminer-studio/reviews)
By Altair
**Average Rating:** 4.6/5
**Total Reviews:** 520
RapidMiner is a powerful, easy to use and intuitive graphical user interface for the design of analytic processes. Let the Wisdom of Crowds and recommendations from the RapidMiner community guide your way. And you can easily reuse your R and Python code.


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](https://www.g2.com/categories/low-code-machine-learning-platforms), [Generative AI Infrastructure](https://www.g2.com/categories/generative-ai-infrastructure), [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms), [Analytics Platforms](https://www.g2.com/categories/analytics-platforms), [Predictive Analytics](https://www.g2.com/categories/predictive-analytics)

**Compare:** [Dataiku vs Altair AI Studio](https://www.g2.com/compare/rapidminer-studio-vs-dataiku)
**Compare Altair AI Studio with other alternatives:**
- [Altair AI Studio vs Gemini Enterprise Agent Platform](https://www.g2.com/compare/rapidminer-studio-vs-gemini-enterprise-agent-platform)
- [Altair AI Studio vs Alteryx](https://www.g2.com/compare/rapidminer-studio-vs-alteryx)
- [Altair AI Studio vs KNIME](https://www.g2.com/compare/rapidminer-studio-vs-knime-analytics-platform)
- [Altair AI Studio vs Databricks](https://www.g2.com/compare/rapidminer-studio-vs-databricks)
- [Altair AI Studio vs Azure Machine Learning](https://www.g2.com/compare/rapidminer-studio-vs-microsoft-azure-machine-learning)
- [Altair AI Studio vs Tableau](https://www.g2.com/compare/rapidminer-studio-vs-tableau)
- [Altair AI Studio vs Domo](https://www.g2.com/compare/rapidminer-studio-vs-domo)
- [Altair AI Studio vs Spotfire Analytics](https://www.g2.com/compare/rapidminer-studio-vs-spotfire-analytics)
- [Altair AI Studio vs Amazon SageMaker](https://www.g2.com/compare/rapidminer-studio-vs-amazon-sagemaker)

  ### 4. [KNIME](https://www.g2.com/products/knime-analytics-platform/reviews)
By KNIME
**Average Rating:** 4.5/5
**Total Reviews:** 103
KNIME helps individuals and organizations make sense of their data. KNIME bridges the worlds of dashboards and advanced analytics through an intuitive interface, appropriate for anybody working with data. It empowers more business experts to be self-sufficient and more data experts to push the business to the bleeding edge of modern data science, integrating the latest AI and ML techniques. KNIME is distinct in its open approach, which ensures easy adoption and future-proof access to new technologies. Headquartered in Zurich, KNIME has offices in Austin, TX, Konstanz, and Berlin.


Reviewers say compared to Dataiku, KNIME is:
- Easier to set up
- Easier to admin
- Better at meeting requirements
Categories in common with Dataiku: [Low-Code Machine Learning Platforms](https://www.g2.com/categories/low-code-machine-learning-platforms), [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms), [Analytics Platforms](https://www.g2.com/categories/analytics-platforms), [Predictive Analytics](https://www.g2.com/categories/predictive-analytics), [AI Agents For Business Operations](https://www.g2.com/categories/ai-agents-for-business-operations)

**Compare:** [Dataiku vs KNIME](https://www.g2.com/compare/dataiku-vs-knime-analytics-platform)
**Compare KNIME with other alternatives:**
- [KNIME vs Gemini Enterprise Agent Platform](https://www.g2.com/compare/gemini-enterprise-agent-platform-vs-knime-analytics-platform)
- [KNIME vs Alteryx](https://www.g2.com/compare/alteryx-vs-knime-analytics-platform)
- [KNIME vs Altair AI Studio](https://www.g2.com/compare/rapidminer-studio-vs-knime-analytics-platform)
- [KNIME vs Databricks](https://www.g2.com/compare/databricks-vs-knime-analytics-platform)
- [KNIME vs Azure Machine Learning](https://www.g2.com/compare/microsoft-azure-machine-learning-vs-knime-analytics-platform)
- [KNIME vs Tableau](https://www.g2.com/compare/knime-analytics-platform-vs-tableau)
- [KNIME vs Domo](https://www.g2.com/compare/domo-vs-knime-analytics-platform)
- [KNIME vs Spotfire Analytics](https://www.g2.com/compare/knime-analytics-platform-vs-spotfire-analytics)
- [KNIME vs Amazon SageMaker](https://www.g2.com/compare/amazon-sagemaker-vs-knime-analytics-platform)

  ### 5. [Databricks](https://www.g2.com/products/databricks/reviews)
By Databricks Inc.
**Average Rating:** 4.6/5
**Total Reviews:** 1,349
Making big data simple


Reviewers say compared to Dataiku, Databricks is:
- Easier to admin
- Easier to set up
- Easier to do business with
Categories in common with Dataiku: [Generative AI Infrastructure](https://www.g2.com/categories/generative-ai-infrastructure), [MLOps Platforms](https://www.g2.com/categories/mlops-platforms), [Big Data Analytics](https://www.g2.com/categories/big-data-analytics), [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms), [Analytics Platforms](https://www.g2.com/categories/analytics-platforms)

**Compare:** [Dataiku vs Databricks](https://www.g2.com/compare/databricks-vs-dataiku)
**Compare Databricks with other alternatives:**
- [Databricks vs Gemini Enterprise Agent Platform](https://www.g2.com/compare/databricks-vs-gemini-enterprise-agent-platform)
- [Databricks vs Alteryx](https://www.g2.com/compare/alteryx-vs-databricks)
- [Databricks vs Altair AI Studio](https://www.g2.com/compare/rapidminer-studio-vs-databricks)
- [Databricks vs KNIME](https://www.g2.com/compare/databricks-vs-knime-analytics-platform)
- [Databricks vs Azure Machine Learning](https://www.g2.com/compare/microsoft-azure-machine-learning-vs-databricks)
- [Databricks vs Tableau](https://www.g2.com/compare/databricks-vs-tableau)
- [Databricks vs Domo](https://www.g2.com/compare/databricks-vs-domo)
- [Databricks vs Spotfire Analytics](https://www.g2.com/compare/databricks-vs-spotfire-analytics)
- [Databricks vs Amazon SageMaker](https://www.g2.com/compare/amazon-sagemaker-vs-databricks)

  ### 6. [Azure Machine Learning](https://www.g2.com/products/microsoft-azure-machine-learning/reviews)
By Microsoft
**Average Rating:** 4.3/5
**Total Reviews:** 90
Azure Machine Learning is an enterprise-grade service that facilitates the end-to-end machine learning lifecycle, enabling data scientists and developers to build, train, and deploy models efficiently. Key Features and Functionality: - Data Preparation: Quickly iterate data preparation on Apache Spark clusters within Azure Machine Learning, interoperable with Microsoft Fabric. - Feature Store: Increase agility in shipping your models by making features discoverable and reusable across workspaces. - AI Infrastructure: Take advantage of purpose-built AI infrastructure uniquely designed to combine the latest GPUs and InfiniBand networking. - Automated Machine Learning: Rapidly create accurate machine learning models for tasks including classification, regression, vision, and natural language processing. - Responsible AI: Build responsible AI solutions with interpretability capabilities. Assess model fairness through disparity metrics and mitigate unfairness. - Model Catalog: Discover, fine-tune, and deploy foundation models from Microsoft, OpenAI, Hugging Face, Meta, Cohere, and more using the model catalog. - Prompt Flow: Design, construct, evaluate, and deploy language model workflows with prompt flow. - Managed Endpoints: Operationalize model deployment and scoring, log metrics, and perform safe model rollouts. Primary Value and Solutions Provided: Azure Machine Learning accelerates time to value by streamlining prompt engineering and machine learning model workflows, facilitating faster model development with powerful AI infrastructure. It streamlines operations by enabling reproducible end-to-end pipelines and automating workflows with continuous integration and continuous delivery (CI/CD). The platform ensures confidence in development through unified data and AI governance with built-in security and compliance, allowing compute to run anywhere for hybrid machine learning. Additionally, it promotes responsible AI by providing visibility into models, evaluating language model workflows, and mitigating fairness, biases, and harm with built-in safety systems.


Reviewers say compared to Dataiku, Azure Machine Learning is:
- Easier to admin
- Easier to set up
- Better at support
Categories in common with Dataiku: [Low-Code Machine Learning Platforms](https://www.g2.com/categories/low-code-machine-learning-platforms), [Large Language Model Operationalization (LLMOps)](https://www.g2.com/categories/large-language-model-operationalization-llmops), [Generative AI Infrastructure](https://www.g2.com/categories/generative-ai-infrastructure), [MLOps Platforms](https://www.g2.com/categories/mlops-platforms), [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms)

**Compare:** [Dataiku vs Azure Machine Learning](https://www.g2.com/compare/microsoft-azure-machine-learning-vs-dataiku)
**Compare Azure Machine Learning with other alternatives:**
- [Azure Machine Learning vs Gemini Enterprise Agent Platform](https://www.g2.com/compare/microsoft-azure-machine-learning-vs-gemini-enterprise-agent-platform)
- [Azure Machine Learning vs Alteryx](https://www.g2.com/compare/alteryx-vs-microsoft-azure-machine-learning)
- [Azure Machine Learning vs Altair AI Studio](https://www.g2.com/compare/rapidminer-studio-vs-microsoft-azure-machine-learning)
- [Azure Machine Learning vs KNIME](https://www.g2.com/compare/microsoft-azure-machine-learning-vs-knime-analytics-platform)
- [Azure Machine Learning vs Databricks](https://www.g2.com/compare/microsoft-azure-machine-learning-vs-databricks)
- [Azure Machine Learning vs Tableau](https://www.g2.com/compare/microsoft-azure-machine-learning-vs-tableau)
- [Azure Machine Learning vs Domo](https://www.g2.com/compare/microsoft-azure-machine-learning-vs-domo)
- [Azure Machine Learning vs Spotfire Analytics](https://www.g2.com/compare/microsoft-azure-machine-learning-vs-spotfire-analytics)
- [Azure Machine Learning vs Amazon SageMaker](https://www.g2.com/compare/amazon-sagemaker-vs-microsoft-azure-machine-learning)

  ### 7. [Tableau](https://www.g2.com/products/tableau/reviews)
By Salesforce
**Average Rating:** 4.4/5
**Total Reviews:** 3,775
Turn data into action at scale with human and agent collaboration. AND Scale data-driven insights with complete operational confidence. AND Deploy visual, self-service analytics with unmatched control and flexibility.


Reviewers say compared to Dataiku, Tableau is:
- Easier to admin
- Easier to set up
- Better at meeting requirements
Categories in common with Dataiku: [Analytics Platforms](https://www.g2.com/categories/analytics-platforms), [Predictive Analytics](https://www.g2.com/categories/predictive-analytics)

**Compare:** [Dataiku vs Tableau](https://www.g2.com/compare/dataiku-vs-tableau)
**Compare Tableau with other alternatives:**
- [Tableau vs Gemini Enterprise Agent Platform](https://www.g2.com/compare/gemini-enterprise-agent-platform-vs-tableau)
- [Tableau vs Alteryx](https://www.g2.com/compare/alteryx-vs-tableau)
- [Tableau vs Altair AI Studio](https://www.g2.com/compare/rapidminer-studio-vs-tableau)
- [Tableau vs KNIME](https://www.g2.com/compare/knime-analytics-platform-vs-tableau)
- [Tableau vs Databricks](https://www.g2.com/compare/databricks-vs-tableau)
- [Tableau vs Azure Machine Learning](https://www.g2.com/compare/microsoft-azure-machine-learning-vs-tableau)
- [Tableau vs Domo](https://www.g2.com/compare/domo-vs-tableau)
- [Tableau vs Spotfire Analytics](https://www.g2.com/compare/spotfire-analytics-vs-tableau)
- [Tableau vs Amazon SageMaker](https://www.g2.com/compare/amazon-sagemaker-vs-tableau)

  ### 8. [Domo](https://www.g2.com/products/domo/reviews)
By Domo
**Average Rating:** 4.3/5
**Total Reviews:** 1,042
Domo is a cloud-native data experience platform that empowers organizations to connect, visualize, and analyze data from diverse sources in real-time. Designed for both technical and non-technical users, Domo facilitates data-driven decision-making across all levels of an organization by providing intuitive dashboards, AI-powered insights, and customizable visualizations. Its scalable architecture ensures seamless integration with existing cloud and on-premise systems, enabling businesses to optimize processes and drive actionable outcomes efficiently. Key Features and Functionality: - Data Integration: Connects with over 1,000 pre-built connectors, allowing seamless access to various data systems, including CRM, ERP, and cloud databases. - Business Intelligence & Analytics: Offers intuitive tools for creating dynamic dashboards, reports, and visualizations, making complex analytics accessible to all teams. - AI and Predictive Insights: Leverages machine learning capabilities to provide predictive analytics and actionable recommendations based on real-time data. - App Creation: Enables the development of custom, low-code, and pro-code business applications that automate processes and streamline decision-making. - Security & Governance: Provides robust data governance tools, including personalized data permissions, custom user roles, and compliance with standards like GDPR and HIPAA. Primary Value and Solutions: Domo addresses the challenge of fragmented data by unifying information from multiple sources into a single platform, enabling organizations to gain comprehensive insights and make informed decisions swiftly. Its user-friendly interface democratizes data access, allowing teams to collaborate effectively using real-time information. By integrating AI-powered analytics and customizable applications, Domo helps businesses optimize operations, identify trends, and drive growth, all while maintaining stringent security and governance standards.


Reviewers say compared to Dataiku, Domo is:
- Easier to do business with
- Easier to admin
Categories in common with Dataiku: [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms), [Analytics Platforms](https://www.g2.com/categories/analytics-platforms), [Predictive Analytics](https://www.g2.com/categories/predictive-analytics), [AI Agent Builders](https://www.g2.com/categories/ai-agent-builders)

**Compare:** [Dataiku vs Domo](https://www.g2.com/compare/dataiku-vs-domo)
**Compare Domo with other alternatives:**
- [Domo vs Gemini Enterprise Agent Platform](https://www.g2.com/compare/domo-vs-gemini-enterprise-agent-platform)
- [Domo vs Alteryx](https://www.g2.com/compare/alteryx-vs-domo)
- [Domo vs Altair AI Studio](https://www.g2.com/compare/rapidminer-studio-vs-domo)
- [Domo vs KNIME](https://www.g2.com/compare/domo-vs-knime-analytics-platform)
- [Domo vs Databricks](https://www.g2.com/compare/databricks-vs-domo)
- [Domo vs Azure Machine Learning](https://www.g2.com/compare/microsoft-azure-machine-learning-vs-domo)
- [Domo vs Tableau](https://www.g2.com/compare/domo-vs-tableau)
- [Domo vs Spotfire Analytics](https://www.g2.com/compare/domo-vs-spotfire-analytics)
- [Domo vs Amazon SageMaker](https://www.g2.com/compare/amazon-sagemaker-vs-domo)

  ### 9. [Spotfire Analytics](https://www.g2.com/products/spotfire-analytics/reviews)
By Spotfire
**Average Rating:** 4.2/5
**Total Reviews:** 362
Self-service data discovery. Fastest to actionable insight. Collaborative, predictive, event-driven data analysis - free from IT.


Reviewers say compared to Dataiku, Spotfire Analytics is:
- Slower to reach roi
Categories in common with Dataiku: [AWS Marketplace](https://www.g2.com/categories/aws-marketplace), [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms), [Machine Learning](https://www.g2.com/categories/machine-learning), [Analytics Platforms](https://www.g2.com/categories/analytics-platforms), [Predictive Analytics](https://www.g2.com/categories/predictive-analytics)

**Compare:** [Dataiku vs Spotfire Analytics](https://www.g2.com/compare/dataiku-vs-spotfire-analytics)
**Compare Spotfire Analytics with other alternatives:**
- [Spotfire Analytics vs Gemini Enterprise Agent Platform](https://www.g2.com/compare/gemini-enterprise-agent-platform-vs-spotfire-analytics)
- [Spotfire Analytics vs Alteryx](https://www.g2.com/compare/alteryx-vs-spotfire-analytics)
- [Spotfire Analytics vs Altair AI Studio](https://www.g2.com/compare/rapidminer-studio-vs-spotfire-analytics)
- [Spotfire Analytics vs KNIME](https://www.g2.com/compare/knime-analytics-platform-vs-spotfire-analytics)
- [Spotfire Analytics vs Databricks](https://www.g2.com/compare/databricks-vs-spotfire-analytics)
- [Spotfire Analytics vs Azure Machine Learning](https://www.g2.com/compare/microsoft-azure-machine-learning-vs-spotfire-analytics)
- [Spotfire Analytics vs Tableau](https://www.g2.com/compare/spotfire-analytics-vs-tableau)
- [Spotfire Analytics vs Domo](https://www.g2.com/compare/domo-vs-spotfire-analytics)
- [Spotfire Analytics vs Amazon SageMaker](https://www.g2.com/compare/amazon-sagemaker-vs-spotfire-analytics)

  ### 10. [Amazon SageMaker](https://www.g2.com/products/amazon-sagemaker/reviews)
By Amazon Web Services (AWS)
**Average Rating:** 4.3/5
**Total Reviews:** 56
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](https://www.g2.com/categories/low-code-machine-learning-platforms), [Generative AI Infrastructure](https://www.g2.com/categories/generative-ai-infrastructure), [MLOps Platforms](https://www.g2.com/categories/mlops-platforms), [Data Science and Machine Learning Platforms](https://www.g2.com/categories/data-science-and-machine-learning-platforms)

**Compare:** [Dataiku vs Amazon SageMaker](https://www.g2.com/compare/amazon-sagemaker-vs-dataiku)
**Compare Amazon SageMaker with other alternatives:**
- [Amazon SageMaker vs Gemini Enterprise Agent Platform](https://www.g2.com/compare/amazon-sagemaker-vs-gemini-enterprise-agent-platform)
- [Amazon SageMaker vs Alteryx](https://www.g2.com/compare/alteryx-vs-amazon-sagemaker)
- [Amazon SageMaker vs Altair AI Studio](https://www.g2.com/compare/rapidminer-studio-vs-amazon-sagemaker)
- [Amazon SageMaker vs KNIME](https://www.g2.com/compare/amazon-sagemaker-vs-knime-analytics-platform)
- [Amazon SageMaker vs Databricks](https://www.g2.com/compare/amazon-sagemaker-vs-databricks)
- [Amazon SageMaker vs Azure Machine Learning](https://www.g2.com/compare/amazon-sagemaker-vs-microsoft-azure-machine-learning)
- [Amazon SageMaker vs Tableau](https://www.g2.com/compare/amazon-sagemaker-vs-tableau)
- [Amazon SageMaker vs Domo](https://www.g2.com/compare/amazon-sagemaker-vs-domo)
- [Amazon SageMaker vs Spotfire Analytics](https://www.g2.com/compare/amazon-sagemaker-vs-spotfire-analytics)


---
## Dataiku Alternatives FAQs

### What are the best alternatives to Dataiku?

The best alternatives to Dataiku include [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews) (4.3/5 stars, 657 reviews), [Alteryx](https://www.g2.com/products/alteryx/reviews) (4.6/5 stars, 816 reviews), [Databricks](https://www.g2.com/products/databricks/reviews) (4.6/5 stars, 803 reviews), [Azure Machine Learning Studio](https://www.g2.com/products/microsoft-azure-machine-learning/reviews) (4.3/5 stars, 90 reviews), and [Tableau](https://www.g2.com/products/tableau/reviews) (4.4/5 stars, 3658 reviews). These alternatives are highly rated and offer robust features in machine learning, data integration, automation, and visualization.



### What features do alternatives offer that Dataiku does not?

Alternatives to Dataiku offer features such as seamless integration with Google Cloud services (Gemini Enterprise Agent Platform), extensive automation and drag-and-drop workflow building (Alteryx), unified data engineering and machine learning lifecycle management with collaborative notebooks (Databricks), comprehensive AI infrastructure with automated machine learning and responsible AI capabilities (Azure Machine Learning Studio), and advanced, highly customizable data visualization and dashboarding (Tableau, Spotfire Analytics, Domo, Qlik Sense). These platforms also provide enhanced scalability, ease of administration, and smoother setup processes compared to Dataiku.



### Which Generative AI Infrastructure tools do reviewers recommend instead of Dataiku?

Reviewers recommend [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews) for its unified AI lifecycle management and seamless Google Cloud integration, [Alteryx](https://www.g2.com/products/alteryx/reviews) for its intuitive drag-and-drop workflow automation and broad connectivity, and [Databricks](https://www.g2.com/products/databricks/reviews) for its collaborative notebooks, scalable Spark infrastructure, and integrated ML lifecycle tools. [Azure Machine Learning Studio](https://www.g2.com/products/microsoft-azure-machine-learning/reviews) is favored for its enterprise-grade ML lifecycle management, AutoML, and responsible AI features. For advanced data visualization and dashboarding, [Tableau](https://www.g2.com/products/tableau/reviews), [Spotfire Analytics](https://www.g2.com/products/spotfire-analytics/reviews), and [Domo](https://www.g2.com/products/domo/reviews) are highly recommended. These tools provide enhanced ease of administration, setup, and support compared to Dataiku.



### Why do users choose Alteryx over Dataiku?

Users choose [Alteryx](https://www.g2.com/products/alteryx/reviews) over Dataiku primarily for its superior ease of setup (8.4 vs 8.0) and administration (8.3 vs 8.0), which facilitates faster onboarding and smoother management. Alteryx’s drag-and-drop workflow automation and intuitive interface receive 333 mentions for ease of use, making it accessible even to non-technical users. Its strong automation capabilities (148 mentions) and efficiency gains (102 mentions) enable significant time savings and productivity improvements. Additionally, Alteryx’s extensive community support and resources help users overcome learning curves and troubleshoot effectively. Users appreciate the platform’s ability to handle large datasets and complex workflows with minimal coding. The platform’s visual workflow design enhances transparency and collaboration, which is especially valued in team environments. Overall, Alteryx is favored for its user-friendly, low-code/no-code environment that accelerates data preparation, blending, and analysis, making it a preferred choice for organizations seeking rapid deployment, ease of use, and operational efficiency in data workflows.



### How does Dataiku compare to Alteryx?

According to G2 data, [Dataiku](https://www.g2.com/products/dataiku/reviews) holds an average rating of 4.4/5 from 201 reviews, while [Alteryx](https://www.g2.com/products/alteryx/reviews) leads slightly with a 4.6/5 average rating across 816 reviews. Both platforms score equally on Usability (8.7), and Support (8.5), but Alteryx has a 0.4-point advantage in Ease of Setup (8.4 vs 8.0), a 0.3-point lead in Ease of Admin (8.3 vs 8.0), and a 0.3-point higher score in Ease of Doing Business With (8.9 vs 8.6). Dataiku uniquely offers features such as Data Lake and Managed Service, which Alteryx does not provide. User sentiment highlights Dataiku's strengths in Features (80 mentions), Ease of Use (79), Productivity Improvement (41), Collaboration (40), and AI Capabilities (37). Alteryx users praise Ease of Use (333 mentions), Automation (148), and Efficiency (102). In summary, [Alteryx](https://www.g2.com/products/alteryx/reviews) excels in ease of setup, administration, and business dealings, with a larger user base and higher average rating, making it favorable for organizations prioritizing quick adoption and operational efficiency. [Dataiku](https://www.g2.com/products/dataiku/reviews) stands out for its comprehensive AI and collaboration features, suited for enterprises seeking advanced data lake management and managed services.




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