What is Dataiku?
Dataiku, an enterprise AI platform for data science, machine learning, and MLOps that integrates data preparation, model building, LLMs, and agent orchestration.
Provides collaborative workflows for data scientists, analysts, and business teams to build, test, and deploy models and AI agents.
Orchestration connects pipelines, models, large language models, and agents across cloud and on-prem infrastructure.
Governance features deliver unified visibility, access controls, cost management, and audit-ready reporting for compliance teams.
Supports retrieval-augmented generation (RAG) chatbots and agent deployment grounded in enterprise data to operationalize generative AI.
Enables analytics modernization by moving analysts from spreadsheets to governed, reproducible pipelines.
Facilitates model reuse and productionization with monitoring, versioning, and automation for ML engineers and IT operations.
Dataiku user reviews
Would you recommend Dataiku?
Dataiku's key features
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Orchestrates data, machine learning models, LLMs, and agents as a single system across any infrastructure
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Unified governance with visibility into compliance, cost, and risk plus audit-ready controls and cost management
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Builds and deploys agentic AI grounded in enterprise data, pipelines, and models
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Collaborative shared workflows enabling business and technical teams to work together in the same environment
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End-to-end ML lifecycle support to productionize, share, and scale machine learning models
Dataiku use cases
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Build governed end-to-end MLOps pipelines in Dataiku to prepare and version datasets, train and validate models, enforce governance and monitoring, and automatically deploy models across cloud and on-premises environments for reproducible production analytics
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Create RAG-based enterprise chatbots using Dataiku's LLM integrations and agent orchestration to index internal knowledge, provide secure question-answering, orchestrate multi-step workflows, and scale deployments with audit trails and compliance controls
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Enable collaborative data science by using Dataiku to orchestrate hybrid AI workflows that combine classical ML and LLMs, allowing cross-functional teams to prototype, review, translate, and deploy pipelines with built-in lineage, model monitoring, and rollback capabilities
Who is it for?
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Data scientists
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Data engineers
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Ml engineers
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Analysts
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Business users
