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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.
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What is ConnexinOS?
Collecting data from multiple devices, networks, and servers can be complex and may lead to considerable expenses. ConnexinOS provides a powerful and scalable IoT platform designed to simplify data aggregation and integration. It effectively merges various datasets into a single cohesive view, which aids in the management of urban environments and communities. This platform allows for the seamless collection of data from any device or network, ensuring efficient communication among different data sources. By unifying diverse information into one system, it generates actionable insights rooted in standardized procedures while utilizing cutting-edge AI and machine learning technologies. The process of onboarding and managing devices is user-friendly, granting individuals extensive control and options for self-service. Furthermore, it supports real-time monitoring and notifications triggered by specific events and established guidelines. The platform also harmonizes data from different sources, enabling them to function together effectively. With comprehensive user role-based access controls in place, security is prioritized to safeguard sensitive information. In essence, this fosters an environment conducive to enhanced data management, ultimately allowing cities to flourish. This innovative approach encourages collaboration and efficiency among urban stakeholders, paving the way for smarter city solutions.
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Guavus, a Thales company
Date Founded
2006
Company Location
United States
Company Website
sqlstream.com
Company Facts
Organization Name
Connexin
Date Founded
2006
Company Location
United Kingdom
Company Website
www.connexin.co.uk/connexin-os-iot-platform/
Categories and Features
Streaming Analytics
Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards
Categories and Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization