Organizations Using the data-intensive-systems Tag for Scalable Big Data Architectures, Stream Processing, and Real-Time Analytics
Explore organizations tagged with data-intensive-systems to discover teams building scalable big data architectures, distributed data processing pipelines, and real-time analytics platforms; this curated list of organizations by tag highlights practical implementations of stream processing (Kafka, Flink, Spark), ETL/ELT pipelines, data lakes and lakehouses, columnar storage, and cloud-native data platforms. Learn actionable insights on designing high-throughput, fault-tolerant systems—covering event-driven architectures, batch and real-time processing patterns, observability, data governance, and cost-optimized storage and compute strategies. Use the filtering UI to refine results by technology, use case, industry, or contribution type to find case studies, open-source projects, and partner organizations that match your needs. Start exploring the organizations that apply data-intensive-systems best practices and filter now to connect with teams, review architecture notes, and accelerate your data strategy.
