Build a unified data stack for real-time AI with Postgres and ClickHouse

LIVE WEBINAR · 45 MINUTES · FREE

Give your AI apps fresh data in seconds, from one managed stack

Run your app on fast, enterprise-grade Postgres and serve analytics up to 100x faster with ClickHouse, all from a single managed stack.

Event details Date: Thursday, 22 October 2026
Time: 9:00am IST | 11:30am SGT | 2:30pm AEDT | 4:30pm NZDT
Online: 35 minutes live + 10 minutes Q&A

Register now

Your Postgres database is great at running your app. It wasn't built to also power dashboards, customer-facing analytics and AI agents querying millions of rows in real time. Teams at GitLab, Cloudflare, Instacart and LangChain have solved this the same way: Postgres for transactions, ClickHouse for analytics.

ClickHouse Managed Postgres turns that pattern into a single managed service. You get NVMe-backed Postgres, native change data capture into ClickHouse and one query layer across both, without building or maintaining the pipeline in between.

In 45 minutes, we'll show you how it works and how to get there from where you are today.

What you'll be able to do after the session

• Speed up I/O-heavy Postgres workloads by up to 10x with local NVMe storage, with no EBS throttling or IOPS limits
• Get Postgres data into ClickHouse in seconds using native CDC, set up in a few clicks
• Serve analytics from the Postgres interface you already use with pg_clickhouse, pushing JOINs, filters and aggregations down to ClickHouse
• Keep analytical queries fast as data grows with materialised views and projections
• Plan a low-risk move from RDS or Aurora, with HA, automatic backups and point-in-time recovery built in

Who should attend

• Engineering and platform leaders scaling a Postgres-backed product
• Data and analytics engineers building real-time or customer-facing analytics
• Developers building AI applications and agents that need fast access to fresh data
• Teams on RDS or Aurora hitting performance or cost limits

Proof it works in production "We're now running around 8.5 TB of hot data in Postgres... The performance has been simply impressive." — Sterling Labs, migrated from Aurora

"We moved multiple multi-terabyte workloads from RDS and Aurora to ClickHouse Postgres with hands-on support from the ClickHouse team." — DoControl

Can't make it live? Register anyway and we'll send you the recording.

Register now.