Features
Drop .xlsx file to auto-build dashboards with AI
Export any chart's data back to .xlsx in one click
AI data analyst that reads and analyzes spreadsheet data
Live dashboards with real-time collaboration
Conversational AI with follow-up questions
Edit charts directly in chat without starting over
Multi-user chat with teammate avatars
AI thinking summary with expandable steps
Pinned chart versions in conversation history
Spending limit on AI usage for admins
Cloud or self-hosted deployment
Basedash Actions: write/run SQL edits, act in Stripe/HubSpot via MCP
Slack integration with @Basedash mentions
Semantic layer for reusable SQL metrics
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
