DataRobot
Enterprise AI platform for building governing and operating predictive and generative AI with tools for data prep modeling evaluation deployment monitoring and compliance.
Pricing Contact sales
Category data
Difficulty Beginner
Type Web App
Status Active
BigML
End to end machine learning platform with GUI and REST API that covers data prep modeling evaluation deployment and governance for cloud or on premises use.
Pricing Free trial, contact sales
Category data
Difficulty Beginner
Type Web App
Status Active
Feature Tags Comparison
Only in DataRobot
mlopsmonitoringautomationrag
Shared
governance
Only in BigML
machine-learningautomlapideploymentscloud
Key Features
DataRobot
- • Automated modeling that explores algorithms with explainability so non specialists get strong baselines without custom code
- • Evaluation and compliance tooling that runs bias and stability checks and records approvals for regulators and auditors
- • Production deployment for batch and real time with autoscaling canary testing and SLAs across clouds and private VPCs
- • Monitoring and retraining workflows that track drift data quality and business KPIs then trigger retrain or rollback safely
- • LLM and RAG support that adds prompt tooling vector options and guardrails so generative apps meet enterprise policies
- • Integrations with warehouses lakes and CI systems to fit existing data stacks and deployment patterns without heavy rewrites
BigML
- • GUI and REST API for the full ML lifecycle with reproducible resources
- • AutoML and ensembles
- • Time series anomaly detection clustering and topic modeling
- • WhizzML to script and share pipelines
- • Versioned immutable resources
- • Organizations with roles projects and dashboards
Use Cases
DataRobot
- → Stand up governed prediction services that meet SLAs for ops finance and marketing teams with clear ownership and approvals
- → Consolidate ad hoc notebooks into a managed lifecycle that reduces risk while keeping expert flexibility for advanced users
- → Add guardrails to LLM apps by tracking prompts context and outcomes then enforce policies before expanding to more users
- → Replace fragile scripts with monitored batch scoring so decisions update reliably with alerts for stale or anomalous inputs
- → Accelerate regulatory reviews by exporting documentation that shows data lineage testing and sign offs for each release
- → Migrate legacy models into a common registry so maintenance and monitoring become consistent across languages and tools
BigML
- → Stand up a governed ML workflow
- → Automate repeatable training and evaluation with WhizzML
- → Detect anomalies for risk monitoring
- → Forecast demand with time series
- → Cluster customers and products
- → Embed predictions through the REST API
Perfect For
DataRobot
chief data officers ml leaders risk owners analytics engineers and platform teams at regulated or at scale companies that need governed ML and LLM operations under one platform
BigML
Data scientists, analytics engineers, and ML platform teams who want a standardized GUI plus API approach to build govern and deploy models
Capabilities
DataRobot
Model Blueprints Professional
Deploy and Scale Enterprise
Monitor and Retrain Enterprise
Governance and Docs Enterprise
BigML
AutoML and Models Professional
Pipelines with WhizzML Professional
Cloud or Private Enterprise
Versioning and Roles Professional
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