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Fast distributed SQL query engine for big data analytics.

Serverless analytics at the speed of DuckDB, scaled for the cloud.

MotherDuck is a serverless analytical platform built on top of the popular DuckDB engine, specifically designed to optimize the 'small to mid-sized' data experience (datasets up to 100TB). In 2026, MotherDuck has established itself as the primary disruptor to legacy cloud warehouses by pioneering the 'Hybrid Execution' model. This architecture intelligently splits query execution between a user's local machine and the cloud, minimizing latency and maximizing cost efficiency. Unlike Snowflake or BigQuery, MotherDuck does not require complex cluster management; it provides a zero-ops environment where analysts can query Parquet, CSV, or Iceberg files instantly. Its technical core leverages DuckDB's vectorized execution engine, allowing for sub-second query performance on typical business intelligence workloads. For the 2026 market, MotherDuck has integrated deeply into the AI lifecycle, serving as a high-speed feature store and vector-adjacent data layer for RAG (Retrieval-Augmented Generation) applications, providing the performance of local processing with the persistence and collaboration of the cloud.
MotherDuck is a serverless analytical platform built on top of the popular DuckDB engine, specifically designed to optimize the 'small to mid-sized' data experience (datasets up to 100TB).
Explore all tools that specialize in hybrid data movement. This domain focus ensures MotherDuck delivers optimized results for this specific requirement.
Automatically decides whether to run a query locally or in the cloud based on data location and hardware capacity.
Enables instant sharing of databases without data movement via snapshot-based logic.
Directly queries Parquet files in S3 buckets using optimized HTTP range requests and caching.
A web-based SQL IDE with built-in visualization and AI-assisted query generation.
Securely stores and manages AWS/GCP credentials for cloud storage access within the MD environment.
Allows MotherDuck to run in the browser using WebAssembly for zero-latency dashboarding.
Native adapter for dbt (data build tool) optimizing DAG execution for DuckDB dialect.
Create a MotherDuck account via official website or Google SSO.
Install DuckDB CLI or Python client (pip install duckdb).
Retrieve your MotherDuck service token from the 'Settings' panel.
Establish connection using 'ATTACH 'md:' as motherduck' command.
Define a cloud-based database using 'CREATE DATABASE my_db'.
Use the COPY command to ingest local CSV or Parquet files into the cloud instance.
Enable Hybrid Execution to allow queries to span local and remote data.
Invite collaborators via email to share specific database views.
Configure dbt-motherduck adapter for automated transformation pipelines.
Deploy your dashboard or application using the MotherDuck WASM client for browser-based queries.
All Set
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Verified feedback from other users.
"Users praise the 'magical' speed of local-cloud hybrid execution and the simplicity of getting started compared to Snowflake."
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Fast distributed SQL query engine for big data analytics.

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