MotherDuck

MotherDuck is a serverless cloud data warehouse built on DuckDB, offering a hybrid execution architecture to help data teams collaborate efficiently and handle TB-scale data analytics tasks.

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DuckDB cloud data warehouseserverless data analytics platformhybrid-execution data queriesMotherDuck data collaborationTB-scale data processing solutionembedded analytics application development

Features of MotherDuck

Offers a hybrid architecture with intelligent distribution of queries between local and cloud execution

Serverless model—analyze data without managing infrastructure

Supports connections to external data sources such as S3, enabling joined queries across local and cloud data

Optimized with DuckDB columnar storage to ensure low-latency interactive analytics

Provides an isolated compute instance per user, enabling resource isolation and cost attribution

Use Cases of MotherDuck

For data analysts to quickly explore data and perform ad-hoc analyses, executing interactive SQL queries

When data engineers build department-level data marts, simplifying data sharing and teamwork

Developers building web applications can embed low-latency data analytics using the Wasm SDK

Data scientists handling large-scale datasets can seamlessly bridge local and cloud compute resources

FAQ about MotherDuck

QWhat is MotherDuck?

MotherDuck is a cloud-native, serverless data warehouse and analytics platform built on DuckDB, designed to deliver high-performance, collaborative data solutions for teams through a hybrid execution architecture.

QWhat are the main advantages of MotherDuck?

Its main advantages lie in combining DuckDB's portability with the scalability of the cloud, offering a serverless architecture, hybrid query execution, and cost-effective processing of data from hundreds of GB up to TB-scale.

QHow can I connect MotherDuck to cloud data?

Users can authenticate by providing the database name and service token, connect via the MotherDuck Web UI, DuckDB CLI, or third-party tools, and directly query external data sources like S3.

QWhich user groups is MotherDuck suitable for?

It suits software engineers, data scientists, data analysts, and data engineers—professional teams that require efficient data collaboration, ad-hoc analysis, or building embedded analytics applications.

QHow does MotherDuck handle data privacy and security?

MotherDuck uses a per-tenant model, provisioning independent serverless compute instances for each user to achieve compute isolation, and secures data with authentication and authorization mechanisms.

QWhat data formats does MotherDuck support?

It supports reading Parquet, CSV, JSON, and other data formats, and allows joining local and cloud data for queries and analysis.

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