MotherDuck
A cloud data warehouse that can be leveraged to store vector embeddings as List data types, enabling semantic search capabilities through SQL-based similarity functions within an existing data pipeline.
About this tool
MotherDuck
Description: MotherDuck is a cloud data warehouse that functions as a serverless cloud service for analytics, building upon the capabilities of DuckDB. It is designed to store vector embeddings as List data types, facilitating semantic search functionalities through SQL-based similarity functions within existing data pipelines.
Origin Story: The concept for MotherDuck emerged when co-founder Jordan Tigani, inspired by DuckDB's capabilities and his experience with Google's BigQuery, envisioned creating a serverless cloud version of the database. He collaborated with DuckDB's creators, Hannes Mühleisen and Mark Raasveldt, who were seeking a partner for a commercial cloud offering. This partnership led to the establishment of MotherDuck, with DuckDB Labs becoming a co-founder. The name "MotherDuck" was suggested by Lloyd Tabb.
Features:
- Cloud data warehouse
- Serverless cloud service
- Leverages DuckDB for analytical processing
- Supports storage of vector embeddings as List data types
- Enables semantic search capabilities
- Utilizes SQL-based similarity functions
- Integrates with existing data pipelines
Pricing: Pricing details are available on their website, but specific plans are not provided in the given content.
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