SQLstream s-Server 3.0 integrates and analyzes real-time Big Data
SQLstream s-Server 3.0 is a massively scalable, real-time Big Data management platform. Data feeds can be anywhere and in any format, including log files, sensors, networks, social media and web feeds. Real-time alerts, aggregated information and in-memory operational intelligence can be visualized immediately while streaming the information directly to external systems, applications and databases. Ultimately, you gain immediate insight into your data, enabling you to respond while it matters.
SQLstream s-Server 3.0 is our latest release and allows 5x faster throughput performance due to advanced lock-free distributed stream processing. This makes for lower hardware and Cloud costs with more predictable scaling across the board.
Plug in architecture with streaming data reuse across all applications
SQLstream s-Server 3.0 allows you to plug in new integration, alerting and analytics applications easily while the system is running, and to reuse live data feeds across all the applications executing on the platform. While streaming data analysis has become crucial, it is often difficult to implement due to ad-hoc requirements and multiple applications that end up pulling data from the same sources, wasting crucial technological and human resources. SQLstream s-Server 3.0 distributes data feeds intelligently to any number of applications, eliminating reprocessing of data, and vastly simplifying your streaming data analysis architecture.
Streaming applications developed using SQL as the API
Distributed, highly scalable real-time architecture
SQLstream s-Server 3.0 processes millions of events per second and scales for the most demanding of real-time Big Data applications. The core architecture offers an inherently parallel and distributed platform, where data feeds are processed in parallel over a distributed network of servers.
