Verizon Connected Smart Cities & Communities vs. SQLstream

Tailored smart city solutions cater to a wide range of requirements, including energy-efficient lighting that not only improves visibility but also enhances safety, as well as traffic monitoring systems that promote smoother vehicle movement while protecting pedestrians and cyclists. By harnessing advanced technology, Verizon enables communities to better understand their environments. The improvements in data collection and insights, alongside a more interconnected infrastructure, empower residents to gain a deeper awareness of their surroundings. This increased understanding contributes to more informed decisions and streamlined resource distribution, leading to enhanced services for the populace. As a result, the city’s overall intelligence is significantly boosted. The Connected Smart Cities and Communities solutions employ an integrated array of wireless networking technologies, utilizing edge-operated sensors and devices to gather crucial data. This approach not only enhances urban analytics but also promotes collaboration among diverse stakeholders, ultimately fostering a more sustainable and adaptive urban ecosystem. In turn, this interconnected framework paves the way for innovative solutions that address the evolving challenges faced by modern cities.

In the realm of IoT stream processing and analytics, SQLstream has been recognized as the leading solution by ABI Research. Our technology, utilized by major corporations such as Verizon, Walmart, Cisco, and Amazon, facilitates applications across various environments, including on-premises, cloud, and edge computing. SQLstream's capabilities allow for the generation of urgent alerts, dynamic dashboards, and immediate responses with latency measured in sub-milliseconds. This enables smart cities to efficiently redirect emergency services and optimize traffic signal operations based on current conditions. Additionally, security frameworks can swiftly identify and neutralize cyber threats, ensuring safety and integrity. Furthermore, AI and machine learning models, developed using streaming sensor inputs, are capable of forecasting potential equipment malfunctions. Due to SQLstream's remarkable speed — accommodating up to 13 million rows per second for each CPU core — organizations have significantly minimized their operational costs and physical infrastructure. Our advanced in-memory processing fosters capabilities at the edge that would typically be unfeasible. Users can acquire, prepare, analyze, and take action on data across various formats and sources seamlessly. With StreamLab, our user-friendly, low-code development environment, creating data pipelines becomes a task that can be accomplished in minutes rather than months. Instant script editing and real-time result visualization without the need for compilation streamline the development process further. Deployment is made easier with robust support for Kubernetes, simplifying integration into existing workflows. The installation process is user-friendly and compatible with a variety of platforms, including Docker, AWS, Azure, Linux, VMWare, and others, ensuring flexibility for diverse operational needs.