Introduction to Altertable

Altertable is the data runtime for the AI era: one operational lakehouse where storage, query, and business context come together for applications, analytics, and agents. It gives teams a live, governed foundation for querying data, building dashboards, powering product workflows, and exposing trusted context to AI systems.

Altertable uses DuckDB for compute and Parquet for storage. DuckDB executes vectorized queries over lakehouse data and local cache layers.

Getting Started

Start by ingesting data into Altertable, then query it from API or MCP clients:

• Ingest data: Send files, records, and integration data into Altertable catalogs
• Query data: Query Altertable from the UI, HTTP API, DuckDB or MCP-compatible AI clients

For AI and agent workflows

• Connect via MCP to enable AI agents to query your data
• Use Ask Agent with the same context as your teams and applications

For Data Analytics & BI

• Add an external catalog (Snowflake, BigQuery, Redshift, etc.)
• Query with SQL or semantic models
• Build dashboards to monitor KPIs
• Integrate with tools like dbt and Metabase

For Product Analytics

• Enable Product Analytics for the environment, then set up event tracking
• Set up event tracking in your application
• Identify users to analyze behavior
• Create funnel, segmentation, and retention insights