Messaging, processing and stream storage in a unified solution
Today’s data-driven architectures require processing streaming data as it arrives, in real-time. However, building data-driven applications means painstakingly stitching together multiple disconnected technologies that were never designed for the scale and capabilities of enterprises, resulting in complex and fragile applications that are prohibitively challenging to build, operate, and scale.
Streamlio saw that data-driven applications demand a unified solution. We deliver that solution, bringing together proven open-source technologies for messaging, processing, and storage of streaming data in real-time.
Streamlio's unified solution provides the components needed to power data-driven applications, eliminating incompatibility and complexity for developers
Built on technology proven in production at companies including Twitter and Yahoo!, processing billions of events and messages per day with full resiliency and no data loss
Uniquely architected for growth and scale so that you can easily keep up with the ever-growing demands of data, applications, and users
Modular architecture enables easy scalability without data redistribution
Data redundancy and multi-datacenter replication built in to protect data
Optimized for microservices applications including containers and Kubernetes orchestration
High-performance processing to deliver end-to-end latencies as low as 30ms
Processing engine that adapts automatically to data flow
Industry analyst firm Gigaom surveys the technology landscape for streaming messaging and compares Apache Kafka and Apache Pulsar performance
Streamlio's Karthik Ramasamy explains how you can connect microservices using Streamlio