Learn how to build a real-time application to process Wikimedia streams using Kafka and Hazelcast.
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Starting Apache Kafka – Java Producer & Consumer (Windows 10)
Learn how to configure Kafka topics and create a Java-based Kafka Consumer and Producer, withApache Kafka v3.4 on Windows 10.
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Starting Apache Kafka on Windows 10 (Kafka v3.4)
This is part one of a two part articles series on Running Apache Kafka Server, Configuring Kafka Topics, and Creating a Kafka Consumer, as also a Kafka Producer.
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Ingesting Time-Series Events from Kafka into QuestDB
Ingest streaming time-series data from Apache Kafka into QuestDB using ILP with the Kafka Sink Connector
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How Does Kafka Perform When You Need Low Latency?
Kafka benchmarks aim to discuss low latency characteristics of Kafka. Instead, they appear to be configured for throughput rather than low latency.
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How to Reduce Cloud Cost by 99% for EDA Kafka Applications
About 400x more instances can be run on the same hardware with Chronicle Queue for specific latency-sensitive EDA applications.
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Kafka vs. Chronicle for Microservices: Which is 750 Times Faster?
Find out why, while Kafka is a good choice for log aggregation, it might not be low latency enough for use cases involving microservices.
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Getting More Mileage Out of Kafka: OpenJDK vs. Azul Prime
Kafka is horizontally scalable, fault-tolerant, runs in production for thousands of companies – let’s figure out how to get more out of it!
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Bring Streaming to Apache Cassandra with Apache Pulsar
How can you stream from Pulsar to Apache Cassandra, the powerful NoSQL database designed to support data-heavy applications in the cloud?
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Increasing Event Streaming with Kafka and Azul
In this article you will learn how to switch between two different Java runtime environments to run an Apache Kafka instance.
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Why Pulsar Beats Kafka for a Scalable, Distributed Data Architecture
The leading open source event streaming platforms are Apache Kafka and Apache Pulsar. For enterprise architects and application developers, choosing the right event streaming approach is critical, as these technologies will help their apps scale up around data to support …
