Dataiku Alternatives

Systemize data use for exceptional business results with a range of features supporting Generative AI, data preparation, machine learning, MLOps, collaboration, and governance.
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DataRobot AI Platform

If you're looking for another Dataiku alternative, DataRobot AI Platform is worth a look. It unifies generative and predictive workflows so you can rapidly develop and deploy AI models. DataRobot is a leader in the 2024 Gartner Magic Quadrant for Data Science and Machine Learning Platforms, with enterprise monitoring and control, rapid innovation and deep ecosystem integration. It offers a flexible AI ecosystem for teams, which can dramatically accelerate AI projects with its enterprise-grade governance and monitoring.

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C3 AI

Another good option is C3 AI, an enterprise AI software foundation for building and deploying AI applications across many industries. It comes with more than 40 pre-built enterprise AI applications, such as AI CRM Suite and Supply Chain Suite, that can be built with a range of tools, including low and no-code development tools. C3 AI also offers integration with industry-standard tools and promises to accelerate digital transformation by delivering results in weeks, not years.

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NVIDIA AI Platform

NVIDIA AI Platform is a broad effort to turn businesses into AI companies. It offers an integrated AI training service that you can reach through a browser, combining accelerated infrastructure, enterprise software and AI models to automate the entire AI workflow. The platform makes it easier to develop and deploy production AI applications, improve data analytics and lower total cost of ownership.

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Aible

If you prefer a more user-oriented approach, Aible offers fast and secure generative AI applications with a focus on scalability and reliability. It deploys custom generative AI applications in private cloud instances in minutes, with secure access to data. Aible serves many industries and functions, offering a quick way to deploy enterprise-grade generative AI applications and offering features like customer churn prediction and content generation.

More Alternatives to Dataiku

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Dataloop

Unify data, models, and workflows in one environment, automating pipelines and incorporating human feedback to accelerate AI application development and improve quality.

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Clarifai

Rapidly develop, deploy, and operate AI projects at scale with automated workflows, standardized development, and built-in security and access controls.

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Alteryx

Automates workflows, delivers self-service insights, and aligns data analysis with strategic business outcomes, empowering enterprise analytics for all users and roles.

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LastMile AI

Streamline generative AI application development with automated evaluators, debuggers, and expert support, enabling confident productionization and optimal performance.

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Obviously AI

Automate data science tasks to build and deploy industry-leading predictive models in minutes, without coding, for classification, regression, and time series forecasting.

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Appen

Fuel AI innovation with high-quality, diverse datasets and a customizable platform for human-AI collaboration, data annotation, and model testing.

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Dify

Build and run generative AI apps with a graphical interface, custom agents, and advanced tools for secure, efficient, and autonomous AI development.

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H2O.ai

Combines generative and predictive AI to accelerate human productivity, offering flexible foundation for business needs with cost-effective, customizable solutions.

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Abacus.AI

Build and deploy custom AI agents and systems at scale, leveraging generative AI and novel neural network techniques for automation and prediction.

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Scale

Provides high-quality, cost-effective training data for AI models, improving performance and reliability across various industries and applications.

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Digital.ai

Integrates software lifecycle management, providing predictive insights and automation to maximize business value and drive reliable software delivery.

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Altair RapidMiner

Provides a single, enterprise-scale data science platform for diverse users, offering code-free to code-friendly experiences, explainable models, and scalable deployment.

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Keywords AI

Streamline AI application development with a unified platform offering scalable API endpoints, easy integration, and optimized tools for development and monitoring.

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Glean

Provides trusted and personalized answers based on enterprise data, empowering teams with fast access to information and increasing productivity.

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MindsDB

Connects data to AI with 200+ integrations, allowing developers to create tailored AI solutions using their own enterprise data and multiple AI engines.

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Athina

Experiment, measure, and optimize AI applications with real-time performance tracking, cost monitoring, and customizable alerts for confident deployment.

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Credal

Build secure AI applications with point-and-click integrations, pre-built data connectors, and robust access controls, ensuring compliance and preventing data leakage.

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data.ai

Combines data from multiple signals to provide unified insights, enabling fast and confident decision-making across the entire app lifecycle.

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Klu

Streamline generative AI application development with collaborative prompt engineering, rapid iteration, and built-in analytics for optimized model fine-tuning.

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MLflow

Manage the full lifecycle of ML projects, from experimentation to production, with a single environment for tracking, visualizing, and deploying models.