Scalable distributed storage solution for streaming data
Streaming data messaging and processing require a robust storage solution to ensure scalability, performance, and data durability. Storage that is just patched into messaging or processing technology forces compromises that impact performance, durability, and scalability.
Streamlio uses Apache BookKeeper as its foundational storage system for streaming data. Apache BookKeeper is a scalable, fault-tolerant, and low-latency storage service optimized for streaming data. Originally developed at Yahoo!, BookKeeper has been widely adopted by enterprises including Twitter, Yahoo! and Salesforce to store and serve mission-critical data in a variety of use cases.
Performance isolation of reads and writes ensures fast response times even under load, without sacrificing consistency and durability.
Data is replicated and durably stored on multiple machines and can easily be replicated across datacenters in different regions or geographies
Data is guaranteed to be written to persistent storage and replicated before write operations complete to avoid data loss scenarios
Simple, repeatable read consistency model guarantees that all readers can see a consistent view of data
Ensemble changes and speculative reads ensure write and read availability without compromising consistency and durability
Industry analyst firm Gigaom surveys the technology landscape for streaming messaging and compares Apache Kafka and Apache Pulsar performance
Streamlio's Sanjeev Kulkarni looks at the requirements for modern streaming solutions and what Apache Pulsar provides to meet those requirements