Organizations Using Data-Intensive Applications (Tags) for Real-Time Analytics, Stream Processing, and Scalable Data Architectures
Explore organizations tagged with "data-intensive-applications" to discover teams and projects building large-scale, high-throughput systems using technologies like Kafka, Spark, Flink, NoSQL stores, columnar databases, and cloud-native data pipelines. This organizations > tags listing surfaces real-world implementations of stream processing, real-time analytics, ETL orchestration, event-driven architectures, and distributed storage patterns, with actionable insights on architecture choices, performance tuning, and scalability trade-offs. Use the filtering UI to narrow by tech stack, industry, or deployment model, compare case studies, and click through to evaluate partners, request demos, or find grant and collaboration opportunities focused on data-intensive applications.
