March 2016 Summaries

We are proud to announce general availability of SingleStoreDB Self-Managed 5, a major milestone marked by the development of a full-fledged SQL compiler that significantly improves query processing performance. The new compiler uses LLVM for code generation and supports dynamic compilation, enabling faster and more efficient execution of complex analytical workloads. This release also includes numerous new features and smarter query optimization, making it an ideal choice for big data applications where proper code generation is critical. With the help of a world-class team led by architect Drew Paroski, SingleStoreDB Self-Managed 5 provides a better experience for customers, offering real-time capabilities, improved performance, and unprecedented levels of scale and sophistication.

SingleStore is attending the Gartner Business Intelligence and Analytics Summit, where they will focus on real-time analytics and showcase their technology. The company's VP of Engineering will give a live demo on day one, highlighting the benefits of using Apache Spark for fast and efficient data processing. Additionally, SingleStore will be tracking key topics in real-time analytics, IoT, and other emerging technologies, including the new Magic Quadrant for Data Warehouses. The company will also be exhibiting at booth 108, where attendees can learn about their latest technology and see a live demo of PowerStream, an IoT showcase application.

The geospatial applications and analytics landscape has undergone significant changes over the past decade, driven by advancements in technology such as the widespread adoption of smartphones and increasing computing power. This shift has enabled companies like Google and Facebook to track billions of pieces of information, while also providing access to mapping data and driver experiences for large players in industries like automotive and ride-sharing. The expansion of global internet coverage, including innovative programs using balloons and drones, is further fueling these trends. As a result, billion-dollar shifts are occurring in the mapping and geospatially-oriented industries, with companies like Uber and Airbnb relying heavily on maps to power their applications. New technologies, such as in-memory approaches and real-time analytics, are now being applied in various industries, including transportation, and are driving dramatic changes in these fields.