Features
AI-generated dashboards from natural language prompts
Conversational AI Q&A with chart responses
Embedded white-labeled analytics via API
Pre-built templates for e-commerce and marketing
Self-serve playground for data exploration
Custom branding (fonts, colors, logos)
Custom metrics and calculations
Role-based permissions and automated user management
Manual, hourly, daily, or real-time data syncing
Direct connectors to Shopify, Google Analytics 4, Facebook Ads
CSV/Excel upload and Google Sheets integration
API integration with data warehouses and databases
Presentation mode for client-ready reports
Secure user access control via API
SageMaker AI for full ML lifecycle (build, train, deploy)
SageMaker Unified Studio for analytics and AI development
Amazon SageMaker Catalog for data and AI governance
Lakehouse architecture unifying S3, Redshift, and federated sources
Zero-ETL integrations for near real-time data ingestion
HyperPod for distributed training of large models
JumpStart for pre-built models and solutions
MLOps tools for model management and versioning
Amazon Q Developer for natural language productivity
Federated query across third-party data sources
Fine-grained access controls and permissions
Built-in data quality monitoring and lineage
Apache Iceberg compatibility for open table formats
Bedrock integration for generative AI applications
Web Search on Bedrock AgentCore for grounded agent responses
