PostgreSQL is a powerful open-source database that supports materialized views. Traditional materialized views are database objects that contain the results of a query — usually, a focused subset of a large dataset. They’re powerful optimization tools. But what about materialized views of a real-time data feed? When you run a query at a set interval, …
How to create a real-time materialized view in PostgreSQL Read More »
As we expand our beta program, Estuary is thrilled to announce our partnership with Rockset.
As we navigate this rapidly evolving space, we should be familiar with the challenges of change data capture as it currently exists. But we should not expect them to remain the same for long.
Kafka’s challenges have exhausted many an engineer on the path to successful data streaming. What if there was an easier way?
The applications for real-time data processing are diverse and far-reaching. This article highlights just a few.
Real-time and batch are two broad categories of data processing. Though they handle data differently, both are vital to the systems that make our businesses and society run.
What if we could adapt MapReduce to real-time data processing? Spoiler: it’s awesome and we’re building a next-gen data platform based on it!
