Trafficware TidalWave Description
Trafficware offers a cutting-edge live streaming service and predictive learning tool that facilitates the dissemination of up-to-the-minute data to external subscribers. TidalWave serves as the backbone for developing Smart City technologies, ensuring subscribers receive dependable and precise information. Utilizing machine learning and edge computing, TidalWave is at the forefront of transforming the Intelligent Transportation Systems (ITS) market by enhancing bandwidth and reducing response times, allowing for swift and accurate near real-time data streaming. To maintain high efficiency and minimal delays, TidalWave employs data compression techniques that diminish the overall data load. By conducting analysis at various points, whether through central Advanced Traffic Management Systems (ATMS) or on-site controllers, this system enables significant infrastructure cost reductions. Users can access immediate, high-resolution data and implement optimal vehicle routing aided by predictive learning techniques. Additionally, the service streams traffic data in near real-time without disrupting city infrastructure and is fully compatible with third-party applications, making it a versatile solution for modern urban challenges. This innovative approach not only enhances traffic management but also lays the groundwork for smarter, more efficient city living.
Trafficware TidalWave Alternatives
StarTree
StarTree Cloud is a fully-managed real-time analytics platform designed for OLAP at massive speed and scale for user-facing applications. Powered by Apache Pinot, StarTree Cloud provides enterprise-grade reliability and advanced capabilities such as tiered storage, scalable upserts, plus additional indexes and connectors. It integrates seamlessly with transactional databases and event streaming platforms, ingesting data at millions of events per second and indexing it for lightning-fast query responses. StarTree Cloud is available on your favorite public cloud or for private SaaS deployment.
StarTree Cloud includes StarTree Data Manager, which allows you to ingest data from both real-time sources such as Amazon Kinesis, Apache Kafka, Apache Pulsar, or Redpanda, as well as batch data sources such as data warehouses like Snowflake, Delta Lake or Google BigQuery, or object stores like Amazon S3, Apache Flink, Apache Hadoop, or Apache Spark.
StarTree ThirdEye is an add-on anomaly detection system running on top of StarTree Cloud that observes your business-critical metrics, alerting you and allowing you to perform root-cause analysis — all in real-time.
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Google Cloud Trace
Cloud Trace serves as a comprehensive distributed tracing system that gathers latency metrics from applications and presents this data within the Google Cloud Console. This tool enables users to monitor the flow of requests throughout their applications while providing near real-time insights into performance. It automatically evaluates all traces from the application to produce detailed latency reports, helping to identify any performance issues. Additionally, Cloud Trace is capable of capturing traces from various environments, including VMs, containers, and App Engine projects. With Cloud Trace, users can delve into specific latency details for individual requests or review the cumulative latency across the entire application. The platform offers a range of tools and filters to facilitate the swift detection of bottlenecks and their underlying causes. This system is built upon the same principles that Google employs to ensure its services operate seamlessly at a massive scale, reflecting a robust and reliable solution for performance monitoring. As such, it becomes an essential resource for developers aiming to optimize their applications effectively.
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SQLstream
In the field of IoT stream processing and analytics, SQLstream ranks #1 according to ABI Research. Used by Verizon, Walmart, Cisco, and Amazon, our technology powers applications on premises, in the cloud, and at the edge.
SQLstream enables time-critical alerts, live dashboards, and real-time action with sub-millisecond latency. Smart cities can reroute ambulances and fire trucks or optimize traffic light timing based on real-time conditions. Security systems can detect hackers and fraudsters, shutting them down right away. AI / ML models, trained with streaming sensor data, can predict equipment failures.
Thanks to SQLstream's lightning performance -- up to 13 million rows / second / CPU core -- companies have drastically reduced their footprint and cost. Our efficient, in-memory processing allows operations at the edge that would otherwise be impossible.
Acquire, prepare, analyze, and act on data in any format from any source. Create pipelines in minutes not months with StreamLab, our interactive, low-code, GUI dev environment. Edit scripts instantly and view instantaneous results without compiling. Deploy with native Kubernetes support.
Easy installation includes Docker, AWS, Azure, Linux, VMWare, and more
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AT&T Smart Cities
Fostering advancements in essential areas such as transportation, lighting, parking, security, environmental sustainability, and infrastructure is crucial. By harnessing IoT innovations, cities can significantly enhance service delivery and improve the quality of life for their residents. The application of data analytics in smart city technology plays a vital role in shaping urban planning and future developments. A strategic technological integration allows cities to minimize energy consumption, waste, and costs while promoting sustainability. This approach can lead to reduced energy usage across the entire asset portfolio. Furthermore, leveraging near-real-time IoT data can enhance operational flexibility. Through the use of big data analytics, actionable insights can be generated to inform decisions. Reliable maintenance of buildings and facilities can be achieved through predictable scheduling. Additionally, transitioning to LED lighting can significantly lower energy consumption and CO2 emissions. Centralized management, supported by near-real-time data across facilities, can streamline operations. Ultimately, a comprehensive and customizable program empowers building operators to proactively monitor and enhance efficiency, ensuring long-term sustainability and operational effectiveness. By prioritizing these strategies, cities can pave the way for a smarter and more sustainable future.
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Company Details
Company:
Cubic | Trafficware
Year Founded:
1978
Headquarters:
United States
Website:
www.trafficware.com/tidalwave.html
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