Data Warehouse Built for Agents

Fast, serverless analytics powered by DuckDB — with dedicated compute for every user and every agent. Build a data stack in one prompt, or plug into the one you have.

Or start with your coding agent:
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An Agent-First Architecture

Hypertenancy: an isolated compute instance for every person, dashboard, and agent. Run fast, highly concurrent queries without resource contention.

Every person, dashboard, and agent session gets its own isolated DuckDB instance — a Duckling — spun up in milliseconds.

Agents fan out — every session gets its own isolated duckling, so a fleet of parallel agents never slows your dashboards. Cold starts land under 100ms.

One user's heavy query saturates their duckling — and nobody else's. No noisy neighbors, no queues, no warehouse-wide slowdowns.

Size each instance to its job, Pulse through Giga. Backfill on a Mega instance, run dbt workloads on a Standard, let end users query a fleet of Pulses.

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DuckLake
Differential Storage
Apache Iceberg
Object Storage

Agent-native Analytics

Agents don't query like humans do. Use the skills, tools, and interfaces that fit your workflow best.

Claude Code v2.1.220

Opus 5 (1M context) with xhigh effort · Claude Team

~/analytics

why did weekly active ducks dip last week?
I'll query the warehouse over MotherDuck MCP.
Called MotherDuck 3 times
Found it — the dip is isolated to the EU flock:
sessions from eu-central fell 22% after the 07-28 release
– signups held flat; the rollback cohort recovered in a day
⎿ ran on duckling agent-7f2 (isolated)
Cooked for 18s
build a dive for the eu drop
Channelling… (12s · ↓ 480 tokens)
▶▶ auto mode on (shift+tab to cycle) · esc to interrupt

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Fresh from the flock

Tips, tricks, product news, and helpful resources from the MotherDuck team and beyond.