Browsing Tag

open source

208 posts
Diskless Kafka at FinTech Robinhood for Cost-Efficient Log Analytics and Observability with WarpStream
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Diskless Kafka at FinTech Robinhood for Cost-Efficient Log Analytics and Observability

Diskless Kafka is transforming how fintech and financial services organizations handle observability and log analytics. By using the Kafka protocol with cloud-native object storage, companies like Robinhood reduce infrastructure costs and gain elastic scalability. This article explores how Robinhood leverages Kafka, Flink, and WarpStream to build a real-time platform that supports trading, monitoring, and compliance at scale.
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Data Streaming in Automotive Industry with Apache Kafka and Flink for Connected Vehicles Cars using Shift Left Architecture Telemetry Signal Processing
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  • 9 minute read

Shift Left in Automotive: Real-Time Intelligence from Vehicle Telemetry with Data Streaming at Rivian

Rivian and Volkswagen, through their joint venture RV Tech, process high-frequency telemetry from connected vehicles using Apache Kafka and Apache Flink. With a shift left architecture and smart filtering, they reduced data volume by 88 percent and enabled over 250 downstream consumer applications to access curated data products. This blog explores how RV Tech transforms raw vehicle data into real-time intelligence, supporting use cases across engineering, operations, and customer experience.
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Real Time Airline Operations at Etihad Airways with Data Streaming Using Apache Kafka and Flink
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Etihad Airways Makes Airline Operations Real-Time with Data Streaming

Airlines face constant pressure to deliver reliable service while managing complex operations and rising customer expectations. This blog post explores how Etihad Airways uses real-time data streaming with Apache Kafka and Flink to improve operational efficiency and passenger experience. Based on a presentation at the Data Streaming World Tour in Dubai, it highlights how Etihad built an event-driven platform to move from delayed insights to real-time action. The post also connects this story to other data streaming success cases in the aviation industry, including Lufthansa , Cathay Pacific, Virgin Australia, and Schiphol Airport in Amsterdam.
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10 FinTech Predictions That Depend On Real Time Data Streaming
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10 FinTech Predictions That Depend on Real Time Data Streaming

Financial services companies are moving from batch processing to real time data flow. A data streaming platform enables financial institutions to connect systems, process events instantly, and power AI, fraud prevention, and customer engagement. This post explores ten FinTech trends and shows how real time data unlocks business value across the industry.
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Data Streaming Trends for 2026 with Apache Kafka Flink Diskless Cloud Agentic AI
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Top Trends for Data Streaming with Apache Kafka and Flink in 2026

Each year brings new momentum to the data streaming space. In 2026, six key trends stand out. Platforms and vendors are consolidating. Diskless Kafka and Apache Iceberg are reshaping storage. Real-time analytics is moving into the stream. Enterprises demand zero data loss and regional compliance. Streaming is now powering operational AI with real-time context. Data streaming has evolved. It is now strategic infrastructure at the heart of modern enterprise systems.
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The Data Streaming Landscape 2026

Data streaming is now a core software category in modern data architecture. It powers real-time use cases like fraud prevention, personalization, supply chain optimization, and AI automation. What started with open source Apache Kafka and Flink has grown into a critical layer for business operations. The 2026 Data Streaming Landscape shows the most relevant Data Streaming Platform evolution. These platforms connect systems, process data in motion, enforce governance, and support mission-critical workloads at scale. Kafka is the standard protocol, but protocol support alone is not enough. Enterprises need full feature compatibility, 24/7 support, and expert guidance for security, resilience, and cloud strategy.
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Data Streaming Meets Data Lake and Lakehouse with Apache Iceberg and Delta Lake
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Data Streaming Meets Lakehouse: Apache Iceberg for Unified Real-Time and Batch Analytics

Apache Iceberg is gaining momentum as the open table format of choice for modern data architectures. In this blog post, the key takeaways from my talk at Open Source Data Summit are shared, along with the full video and downloadable slides. The session explores how Iceberg fits into real-time data streaming with Apache Kafka and Flink, why streaming into a data lake is complex, and what patterns actually work in production. It also covers technical challenges like schema evolution, compaction, and governance — and how to solve them. Watch the session, review the slides, and learn how Iceberg helps build reliable, streaming-powered data products at scale.
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Apache Kafka Proxy Use Cases Benefits Trade-Offs - Open Source vs Cloud
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Kafka Proxy Demystified: Use Cases, Benefits, and Trade-offs

A Kafka proxy adds centralized security and governance for Apache Kafka. Solutions like Kroxylicious, Conduktor, and Confluent enable encryption, access control, and compliance without modifying clients or brokers. This article explores key use cases, best practices, and alternatives such as API gateways and service meshes.
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The Future of AI-Ready Integration with Data Streaming powered by Apache Kafka and Flink
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How Siemens, SAP, and Confluent Shape the Future of AI Ready Integration – Highlights from the Rojo Event in Amsterdam

Many enterprises want to become AI ready but are limited by slow, batch based integration platforms that prevent real time insight and automation. The Rojo “Future of Integration” event in Amsterdam addressed this challenge by bringing together Siemens, SAP, Rojo, and Confluent to show how event driven and intelligent data architectures solve it. The discussions revealed how data streaming with Apache Kafka and Flink complements traditional integration tools, enabling continuous data flow, scalability, and the foundation for AI and automation. This blog summarizes the key learnings from the event, including my presentation “AI Ready Integration with Data Streaming,” and insights from Siemens, SAP, and Rojo on how enterprises can build truly connected, AI ready ecosystems.
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Real Time Point of Sale POS in Retail and eCommerce with Data Streaming using Kafka and Flink at SumUp Square Shopify
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Square, SumUp, Shopify: Real-Time Point-of-Sale (POS) in the Age of Data Streaming

Point-of-Sale systems are evolving into real-time, connected platforms that go far beyond payments. Mobile solutions from Square, SumUp, and Shopify give even the smallest merchants access to integrated sales channels, inventory management, and customer insights. Powered by Apache Kafka and Apache Flink, data streaming is transforming retail with instant decisions, automated actions, and the foundation for Agentic AI in the future of POS.
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