MotherDuck

Founded by Jordan Tigani in 2022

Run fast SQL analytics in the cloud using DuckDB without managing infrastructure

Pricing model

Free Tier, Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use MotherDuck to run fast analytical SQL queries in the cloud without provisioning or managing database servers. It builds on DuckDB and gives each user, dashboard, and AI agent an isolated compute instance called a Duckling. This setup prevents slow queries from blocking other team members. You can query data stored in Parquet files, Iceberg tables, or cloud object storage, run scheduled Python data pipelines with Flights, and connect coding agents through the Model Context Protocol.

What MotherDuck does

Run analytical SQL queries on Parquet filesConnect AI agents to data via Model Context ProtocolSchedule Python ELT scriptsInspect query plans using the command line interfaceShare data schemas and runbooks with agentsBuild interactive analytical dashboardsMigrate heavy reporting workloads off PostgreSQLSpins up isolated DuckDB instances for every user and agent in millisecondsEliminates noisy neighbor issues with dedicated compute allocationConnects AI coding assistants using the Model Context ProtocolExecutes Python data pipelines directly on warehouse computeQueries Apache Iceberg and Parquet files in object storageBuilds embeddable charts and dashboards with DivesShares context and schemas with AI agents using Guides

Pricing breakdown

Pricing model: Free tier, Paid

PlanList price

Lite (per org)Free

Business (per org)$250 / mo

Frequently asked

dbt

PostgreSQL Python

Used by

Myoung Kang

Interim CFO for Startups @ MotherDuck

In their stack

Connect

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