Estuary
INGESTION
Estuary is a real-time CDC data integration platform that enables seamless data movement across various systems and applications. It offers tools for building, managing, and monitoring data pipelines, ensuring reliable and low-latency data transfers. Estuary supports a wide range of data sources, destinations, and transformations, making it a versatile solution for modern data workflows.
Estuary + MotherDuck
Estuary integrates with MotherDuck by enabling real-time data ingestion and synchronization into the MotherDuck cloud data warehouse. Users can set up seamless data pipelines from multiple sources to MotherDuck, ensuring efficient and timely data availability for analysis. This integration leverages Estuary's robust data movement capabilities to enhance the performance and utility of MotherDuck’s DuckDB-based architecture.
FAQS
What is Estuary and how does it work with MotherDuck?
Estuary is a data pipeline platform that simplifies connecting source systems to MotherDuck. It moves data into MotherDuck using S3 as temporary staging—Estuary writes to S3, and MotherDuck's DuckDB S3 extension reads from there to materialize tables in your database. This enables both real-time CDC (Change Data Capture) and batch data loading.
Can Estuary do real-time data replication to MotherDuck?
Yes, Estuary supports Change Data Capture (CDC) which tracks incremental changes as they occur rather than loading data in batches. This enables real-time analytics with sub-second latency, capturing updates and deletes from source systems as they happen. See our Estuary CDC blog post for details.
What do I need to set up Estuary with MotherDuck?
You'll need accounts for MotherDuck, Estuary, and AWS, plus an S3 bucket and IAM credentials for staging data transfers. Estuary provides a low-code interface for configuring pipelines, so no custom integration code is required.
What sources can Estuary connect to MotherDuck?
Estuary supports various source systems including transactional databases (with CDC support), APIs, and streaming data sources. It handles schema evolution automatically when source structures change, and can consolidate data from multiple sources with transformations.
