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The cloud revolution has reshaped how businesses deploy and manage data streaming with solutions like Apache Kafka and Flink. Distinctions between SaaS and PaaS models
18. January 2025
The cloud revolution has reshaped how businesses deploy and manage data streaming with solutions like Apache Kafka and Flink. Distinctions between SaaS and PaaS models
Time flies… I joined Confluent seven years ago when Apache Kafka was mainly used by a few tech giants and the company had ~100 employees.
Over 100,000 organizations use Apache Kafka for data streaming. However, there is a problem: The broad ecosystem lacks a mature client framework and managed cloud
Data streaming emerged as a new software category. It complements traditional middleware, data warehouse, and data lakes. Apache Kafka became the de facto standard. New
Should I use Apache Camel or Apache Kafka for my next integration project? The question is very valid and comes up regularly. This blog post
The oil & gas and mining industries require edge computing for low latency and zero trust use cases. Most IT architectures are hybrid with big
Real-time beats slow data in most use cases across industries. The rise of event-driven architectures and data in motion powered by Apache Kafka enables enterprises
TOP 5 Event Streaming Architectures and Use Cases for 2021: Edge deployments, hybrid and multi-cloud architectures, service mesh-based microservices, streaming machine learning, and cybersecurity.
Apache Kafka became the de facto standard for event streaming across the globe and industries. Machine Learning (ML) includes model training on historical data and
Event Streaming is happening all over the world. This blog post explores real-life examples across industries for use cases and architectures leveraging Apache Kafka. Learn
