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We sit down with Cal Mitchell, founder of SQL Pipe and the new Remix, to discuss the challenges of syncing data between different systems, particularly with Stripe. Cal walks us through his journey from building SQL Pipe, a batch data movement tool, to creating Remix, a streaming data synchronization solution. We explore why traditional ETL approaches fall short for real-time integrations, the complexities of syncing REST APIs with relational databases, and how canonical data models can solve the "dog chasing its tail" problem in data synchronization. Cal also shares his vision for the future of SaaS integrations and announces that Remix is looking for developers to test the platform. *Resources* https://www.sqlpipe.com/products/remix https://www.sqlpipe.com/ Watch Cal's developer meetup talk: • Effortless data sync between your database... Check out a Remix demo • Building a real-time Stripe to Postgres sy... *Sections* 00:00 Introduction and background on data syncing challenges 01:41 Why syncing Stripe data is harder than it looks 03:32 What is SQL Pipe and the problems it solves 04:46 Introduction to Remix and how it differs from SQL Pipe 05:09 Traditional ETL vs streaming data approaches 06:40 How Remix integrations work with Stripe 08:10 Defining canonical data models with JSON schema 10:26 Handling reliability and idempotency at scale 11:55 Target developers for Remix beta testing 13:22 Future of SaaS integrations and canonical data models