Pipes, Streams, and Queries: Engineering Fast Data at Scale

Join us in Bangalore for an amazing meetup at the intersection of streaming data and high-performance analytics. Whether you are building real-time pipelines, optimizing query performance at scale, or figuring out how to make streaming and storage work together in production, this event is for you.

Engineers and architects from ClickHouse and GlassFlow will share practical lessons from the field, covering everything from stream processing and ingestion patterns to sub-second query performance on live data. Connect with the Bangalore Streams community and walk away with ideas you can actually use.

Agenda:

• 09:30 AM: Registration & networking
• 10:30 AM: Welcome & opening
• 10:40 AM: Making Postgres Migration Boring With ClickPipes by Amogh Bharadwaj, Senior Software Engineer @ ClickHouse
• 11:10 PM: Talk 2 - TBD
• 11:30 PM: Break
• 11:45 PM: Talk 3 - TBD
• 12:15 PM: Closing Remarks
• 12:30 PM: Lunch & networking

Session: Making Postgres Migration Boring With ClickPipes Description: Postgres-to-Postgres migration is still surprisingly manual and error-prone. Moving between providers like RDS and Cloud SQL often requires users to generate schema dumps themselves, and coordinate multiple fragile migration steps manually. On top of that, initial loads can be slow, and many existing solutions lack good progress tracking, observability, and alerting — making migrations difficult to monitor and trust in production. In this talk, I’ll introduce the PG-to-PG ClickPipes we’re building at ClickHouse to make Postgres migration far more seamless.

Speaker: Amogh Bharadwaj, Senior Software Engineer @ ClickHouse