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Average Ratings 0 Ratings

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ease
features
design
support

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Description

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.

Description

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

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Kinesis
Apache Kafka
RabbitMQ

Integrations

Amazon Kinesis
Apache Kafka
RabbitMQ

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

AT&T Business

Founded

1983

Country

United States

Website

www.business.att.com/categories/smart-cities.html

Vendor Details

Company Name

Guavus, a Thales company

Founded

2006

Country

United States

Website

sqlstream.com

Product Features

Product Features

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

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