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Stream Processing

Flink Is Attempting to Build a Data Warehouse Simply by Using a Set of SQL Statements

A discussion of how unifying batch and real-time processing in data warehouses can promote integrated computing.

Using PostgreSQL for Real-Time IoT Stream Processing Applications

In this article, we look at how PostgreSQL can be used for Stream Processing in IoT applications for real-time processing of trillions of data records per day.

Testing the Performance of PipelineDB for Real-Time Statistics on Virtual Machines

In this article, we discuss how PostgreSQL-based PipelineDB can implement real-time statistics at 10 million data records per second.

An Overview of Kafka Distributed Message System

This blog provides an in-depth overview of the Kafka messaging system along with a walkthrough of its various models and techniques.