Open RAN and Data Streaming with Apache Kafka and Flink in Telecom Industry for Network Analytics and Observability
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Open RAN and Data Streaming: How the Telecom Industry Modernizes Network Infrastructure with Apache Kafka and Flink

Open RAN is transforming telecom by decoupling hardware and software to unlock flexibility, innovation, and cost savings. But to fully realize its potential, telcos need real-time data streaming for observability, automation, and AI. This post shows how Apache Kafka, Apache Flink, and a diskless data streaming platform like Confluent WarpStream help telco operators scale RAN data processing securely and cost-effectively.
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SaaS vs PaaS Cloud Service for Data Streaming with Apache Kafka and Flink
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Fully Managed (SaaS) vs. Partially Managed (PaaS) Cloud Services for Data Streaming with Kafka and Flink

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 significantly impact scalability, cost, and operational complexity. Bring Your Own Cloud (BYOC) expands the options, giving businesses greater flexibility in cloud deployment. Misconceptions around terms like “serverless” highlight the need for deeper analysis to avoid marketing pitfalls. This blog explores deployment options, enabling informed decisions tailored to your data streaming needs.
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Apache Flink - Overkill for Simple Stateless Stream Processing
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Apache Flink: Overkill for Simple, Stateless Stream Processing and ETL?

Discover when Apache Flink is the right tool for your stream processing needs. Explore its role in stateful and stateless processing, the advantages of serverless Flink SaaS solutions like Confluent Cloud, and how it supports advanced analytics and real-time data integration together with Apache Kafka. Dive into the trade-offs, deployment options, and strategies for leveraging Flink effectively across cloud, on-premise, and edge environments, and when to use Kafka Streams or Single Message Transforms (SMT) within Kafka Connect for ETL instead of Flink.
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The Data Streaming Landscape 2025 with Kafka Flink Confluent Amazon MSK Cloudera Event Hubs and Other Platforms
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The Data Streaming Landscape 2025

Data streaming is a new software category. It has grown from niche adoption to becoming a fundamental part of modern data architecture, leveraging open source technologies like Apache Kafka and Flink. With real-time data processing transforming industries, the ecosystem of tools, platforms, and cloud services has evolved significantly. This blog post explores the data streaming landscape of 2025, analyzing key players, trends, and market dynamics shaping this space.
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Data Streaming Landscape 2023 with Apache Kafka Flink and much more
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The Data Streaming Landscape 2023

Data streaming is a new software category to process data in motion. Apache Kafka is the de facto standard used by over 100,000 organizations. Plenty of vendors offer Kafka platforms and cloud services. Many complementary stream processing engines like Apache Flink and SaaS offerings have emerged. And competitive technologies like Pulsar and Redpanda try to get market share. This blog post explores the data streaming landscape of 2023 to summarize existing solutions and market trends.
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