About DataRobot
DataRobot is an enterprise AI platform that helps organizations build, operate and govern AI at scale. Its current positioning is a unified agent workforce platform, covering predictive AI, generative AI and agentic AI under shared governance and observability.
The product areas on its site include the AI platform, agent solutions by industry and function, AI governance, AI observability and an AI foundation layer. Industry pages cover government, oil and gas, manufacturing, life sciences and financial services, and functional pages cover supply chain, operations and finance. DataRobot also publishes open-source projects, including Covalent and syftr, and lists technology partners such as NVIDIA, Dell, Nebius and SAP.
DataRobot is a commercial product with a trial, demo requests, documentation and a customer portal. It is aimed at enterprises with data science teams and business units that need controlled AI deployment, and it is not open source as a platform.
Key features
- Predictive, generative and agentic AI
- AI governance and observability
- Agent solutions by industry
- Platform for building AI applications
- Partner ecosystem integrations
- Trial and demo access
Good fit for
- →Governing enterprise AI deployments
- →Building AI agents for operations and finance
- →Predictive modeling for business teams
- Tags
- enterprise-ai
- mlops
- predictive-ai
- generative-ai
- ai-governance
- ai-observability
- agents
- platform
DataRobot: questions and answers
- What is DataRobot used for?
- DataRobot is an enterprise platform for building, deploying and governing predictive, generative and agentic AI applications. It is a good fit for governing enterprise AI deployments, building AI agents for operations and finance, and predictive modeling for business teams.
- How much does DataRobot cost?
- DataRobot doesn't publish fixed prices; pricing is quoted on request.
- Is DataRobot open source?
- No. DataRobot is proprietary (closed-source) software. Open-source alternatives to DataRobot include MLflow and TPOT.
- What are some alternatives to DataRobot?
- DataRobot competes with Dataiku, Databricks and Weights & Biases. For open-source options, see Enlisted's ranked list of open-source DataRobot alternatives.
Open-source alternatives to DataRobot
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MLflow
AI Infrastructure
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables te
Apache-2.0vs Weights & Biases★ 28k
TPOT
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A Python Automated Machine Learning tool that optimizes machine learning pipelines using g
LGPL-3.0vs DataRobot★ 10k
Obot
AI Infrastructure
Complete AI Governance Platform from Obot AI
MIT★ 1.1k
LocalAI
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LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video -
MITvs ChatGPT★ 49k
Label Studio
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Label Studio is a multi-type data labeling and annotation tool with standardized output fo
Apache-2.0vs Roboflow★ 28k
Opik
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Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows wit
Apache-2.0vs Weights & Biases★ 22k
SaaS alternatives to DataRobot
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Dataiku
AI Infrastructure
Collaborative data science and AI platform for analysts, engineers and business teams
SaaS
Databricks
Data Pipelines & ETL
Lakehouse platform for data engineering, analytics and machine learning
SaaS
Weights & Biases
AI Infrastructure
Experiment tracking, model registry and LLM evaluation for machine learning teams
SaaS
Alteryx
Data Pipelines & ETL
Analytics automation platform for data prep, blending and predictive workflows
SaaS
Amazon SageMaker
AI Infrastructure
AWS platform for building, training and deploying machine learning models
SaaS
IBM watsonx
AI Infrastructure
IBM AI and data platform for building and governing foundation-model applications
SaaS

