Reference - EDB Postgres® AI Lakehouse
Suggest editsEDB Postgres® AI Lakehouse is an early product. Eventually, it will support deployment modes across multiple clouds and on-premises. However, currently it's fairly limited in terms of where you can deploy it and what data you can query with it.
To get the best experience with Lakehouse, you should follow the Quick start to query benchmarking data. Then you can try loading your own data with Lakehouse Sync or you can bring your own data and use external tables. If you're intrigued, reach out to us and we can talk more about your use case and potential opportunities.
This section details some of the important things you should know.
Supported cloud providers and regions
Supported cloud providers and regions for Lakehouse
Supported AWS instances
Supported AWS instances for Lakehouse
Benchmarking datasets
Benchmarking datasets available for Lakehouse
Queries
Supported queries in Lakehouse and best practices when composing them
Functions
Reference for the functions provided by the PGAA extension
DirectScan
Lakehouse is fastest when it can "push down" your entire query to DataFusion. This explains how to check if your query is running in DirectScan mode.
User management
Managing users in Lakehouse
Delta Lake Table tools
Tools for working with Delta Lake Tables
Loading data
How to load data into Lakehouse
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