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How Apache Pulsar Functions are Enablers for ML and Event Stream Processing Apache Pulsar functions allow programmers to script automated data processing of event streams and messages on cloud TPU/GPU hardware for AI/ML/DL functionality support using custom-written code in Java, Python, or Go. Many developers are also using Apache Pulsar for Serverless computing implementation after […]

Why Event Streaming is a Key Enabler of ML / AI Applications Event Streaming Concisely Defined With analytics applications of all flavors now rooted in machine learning and AI, event streaming is increasingly important. What is the most concise definition of event streaming? Real-time data streams flowing from financial transactions, for example, contain events such […]

The PubSub Messaging Concept of Apache Pulsar The publish-subscribe model of messaging is a key aspect of event-driven architecture in software development, where complex arrays of filters, tags, and keywords are used to deliver text, image, video, & other content to users that are customized by device, display, and personalized characteristics. The PubSub messaging concept […]

Pulsar with Pandio: Don’t Use Apache Kafka Real-time, continuous data feeds that power systems and applications are increasingly critical for businesses and organizations of all sizes today. For nearly a decade, many organizations have relied on Apache Kafka, an open-source distributed software platform, to handle those data feeds.  More than 30% of the Fortune 500 […]

Kafka vs Pulsar: Why Pulsar Outperforms Kafka Every Time Apache Kafka and Pulsar both are used within the Hadoop ecosystem, as well as hundreds of other ecosystems, for event processing in real-time data streams for “Big Data” applications operating at the highest levels of web/mobile traffic requirements. In benchmark testing conducted by independent researchers using […]