Organizations Tagged with data-intensive-architecture: Scalable, Real-Time Data Processing and Storage Solutions
Browse organizations tagged with data-intensive-architecture to discover teams and companies building high-throughput, low-latency systems for stream processing, distributed storage, real-time analytics, and mission-critical pipelines. This filtered list of organizations (nav: organizations; pillar: tags) surfaces projects, tech stacks, benchmarks, deployment patterns, and case studies that demonstrate data-intensive architecture patterns such as event sourcing, CQRS, data lakes, columnar analytics, and stream-first infrastructures. Use the filtering UI to narrow results by industry, scale, cloud provider, open-source technologies (e.g., Kafka, Flink, Druid, ClickHouse), or funding stage to compare architectures and extract actionable implementation insights. Explore the organizations now to identify partners, reference implementations, and contributors—filter, export, or contact maintainers to accelerate your data architecture initiatives.
