tools
Dataiku (DSS)
Dataiku DSS helps teams prepare data, build AI models and agents, deploy them, and govern analytics workflows.
Dataiku DSS is a platform for data preparation, analytics, machine learning, AI agents, deployment, monitoring, and governance. It supports visual workflows, Python, R, SQL, AutoML, APIs, dashboards, and integrations with enterprise data platforms.
It is used by data scientists, analysts, engineers, and business teams. A Free Edition and a 14-day managed cloud trial are available; enterprise pricing, infrastructure, and some AI services require a separate agreement or may cost extra.
Features
- Build visual and code-based AI agents with prompts, tools, APIs, and models
- Train, validate, and compare models with visual ML and AutoML workflows
- Prepare data with visual recipes or Python, R, and SQL
- Deploy models for APIs, batch scoring, and production pipelines
- Manage model registries, approvals, lineage, and performance monitoring
- Connect to Snowflake, Databricks, Redshift, S3, APIs, and enterprise systems
- Monitor model drift, bias, LLM usage, cost, and performance
- Use Dataiku's coding and API capabilities for programmatic workflows
Use cases
- Prepare and transform data for analytics and machine learning
- Build and evaluate predictive models with AutoML
- Create enterprise AI agents connected to business data
- Deploy models for batch or real-time scoring
- Monitor production models, pipelines, and AI usage
- Govern datasets, models, agents, approvals, and lineage