Streamlio Intelligent Platform for Fast Data

Messaging, processing and stream storage in a unified solution

Power Data-Driven Applications

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.

Build faster

Streamlio's unified solution provides the components needed to power data-driven applications, eliminating incompatibility and complexity for developers

Deploy with confidence

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

Future-proof your applications

Uniquely architected for growth and scale so that you can easily keep up with the ever-growing demands of data, applications, and users

Features

Unique architecture

Modular architecture enables easy scalability without data redistribution

Zero data loss

Data redundancy and multi-datacenter replication built in to protect data

Microservices ready

Optimized for microservices applications including containers and Kubernetes orchestration

Real-time performance

High-performance processing to deliver end-to-end latencies as low as 30ms

Self-healing

Processing engine that adapts automatically to data flow

Image illustrating streaming activity in front of buildings

Survey Report: The Speed of Data

Organizations overwhelmingly want to handle data faster, but are falling short. New survey from Dimensional Research and Streamlio takes a closer look at why.

Image illustrating streaming lights at an intersection

Webcast: Evaluating Streaming Data Solutions

Streamlio's Sanjeev Kulkarni looks at the requirements for modern streaming solutions and what Apache Pulsar* provides to meet those requirements