Postgres
Query operational account and user tables in place.
Federated SQL without copy pipelines
Connect databases, warehouses, and object storage as external catalogs. Query and join them with first-class SQL instead of building pipelines whose only job is to copy rows.
Federated SQL
SQL across every source
Make operational systems queryable through the same analytical runtime as your lakehouse. SQL stays the interface; dbt, BI, applications, and agents can all work from the same live data.
Query data in place
Connect databases, warehouses, and object storage as external catalogs, then query live source data without copying it into another raw layer first.
One SQL namespace
Join Postgres, MySQL, BigQuery, Snowflake, S3, Iceberg, and lakehouse tables through the same DuckDB SQL runtime.
Use the tools you already have
Work in SQL directly, model federated sources with dbt, or connect the analytics and agent tools your team already uses.
Remove access plumbing
Keep your business logic and downstream contracts. Retire extract jobs, landing hops, and warehouse copies that only move relational rows into position.
One SQL namespace across live sources
External catalogs stay in place. DuckDB queries and joins them without another raw copy layer.
Federated SQL
External catalogs
BigQuery
Query billing facts without exporting them from the warehouse.
billing.charges
billing.invoices
S3 / Iceberg
Register Iceberg tables directly from object storage.
events.raw
events.sessions
Altertable DuckDB-based runtime
One SQL namespace
Federatedpostgres.accounts
postgres.users
bigquery.billing.charges
iceberg.events.sessions
Accounts with recent charges
RunningSELECT a.name, u.email, c.amount
FROM postgres.accounts AS a
JOIN postgres.users AS u
ON u.organization_id = a.id
JOIN bigquery.billing.charges AS c
ON c.account_id = a.id
WHERE c.created_at > now() - INTERVAL '7' DAYExplore the rest of the platform
More workloads on the same engine, governance, and pricing.
Lakehouse
Query live data across systems with DuckDB-powered execution, open storage, and predictable economics. Build on one operational lakehouse instead of another warehouse-centered stack.
AI Context
Give Claude, GPT, and other agents governed access to trusted data, metrics, and business context. Agents work from the same definitions and permissions as your team.
Self-serve BI
Give every team live dashboards, shared metrics, and agent-assisted exploration on the same governed data foundation.
Connect the source. Stop operating the copy layer.
DuckDB workers on open formats, federated SQL across your existing systems,
and an MCP server for agents — at flat monthly pricing.