Moving a Billion Postgres Rows on a $100 Budget

The text discusses an experiment on transferring 1 billion rows from Postgres to Snowflake while minimizing costs and ensuring data integrity. It highlights the use of open-source tools, customized scripts, and efficient techniques for reading data from Postgres and loading it into Snowflake. Key aspects like parallel processing, WAL reading, data compression, and incremental batch loading are emphasized. The author also mentions optimizations to reduce compute, network, and warehouse costs, along with trade-offs made during the process. The experiment was primarily conducted using PeerDB's product, which is aimed at enhancing Postgres to Data Warehouse replication. The total cost of the system built for this purpose is estimated to be within $100 per month.