Four Kinds of Software to Process Streaming Data in Real Time
A look at the four kinds of software that perform real-time analytics on event streams and when to use
The ability to continually calculate statistical analytics within constant streams of multiple data coming from devices, sensors, websites, social media, and other applications.
A look at the four kinds of software that perform real-time analytics on event streams and when to use
Unified Real-Time Platforms (URPs) are a new category of software designed to handle demanding applications that deal with both streaming data and data at …
AI and machine learning are going to shake up how companies operate, and streaming data amplifies the leverage that can be gained from these powerful
Promising developments, including KRaft, simplified protocols, two-phase commit support, Docker images, GraalVM support, and Kafka queues, will solidify …
Effective fraud detection necessitates understanding the meaning of streaming data in context, in real-time, and at
Kafka Streams is pivotal to Kafka's evolution, enabling it to adapt to scalability and performance demands.
Today, Apache Kafka is a widely used technology, with applications ranging from real-time data processing to stream processing, event sourcing, and messaging …
Apache Druid is designed for speed, scale, and streaming data, which makes it well-suited for use when analyzing sensor data.
To fully participate in today’s data-in-motion world requires that a data streaming platform be part of every company’s
In this week's real-time analytics news: Confluent made a number of announcements at its Current 2023 conference.