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What is Iotsnap?

The advent of Industry 4.0, along with innovations such as Smart Agriculture, Smart Cities, Smart Homes, and Smart Healthcare, has led to a surge of interconnected technologies, often dubbed Smart Everything! Leading this transformation is Iotsnap, an open-source IoT platform crafted for versatility in multiple contexts. Iotsnap effectively meets the universal needs of IoT initiatives, including real-time data processing, historical data analysis, automation, and the incorporation of artificial intelligence, regardless of the specific environment. Boasting an open-source and cloud-compatible framework, Iotsnap integrates a range of high-quality "Enterprise Grade" technologies and functions within a container-based cloud system, ensuring both scalability and dependable performance. More than simply a platform, Iotsnap embodies a comprehensive ecosystem designed to meet the demands of contemporary technology. Created by Extra Red, Iotsnap partners with skilled experts in chatbot development, augmented reality, sensor technology, and IoT gateways to enhance its capabilities. While the architectural framework of Iotsnap is intended to accommodate a variety of IoT applications, our focus will center on its implementation within the manufacturing sector. By delving into this specific area, we aim to uncover how Iotsnap can significantly enhance operational efficiency and innovation in one of the most vital industries. This exploration into manufacturing not only highlights the platform's adaptability but also positions it as a key player in the future of industrial technology.

What is SQLstream?

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.

Media

Media

Integrations Supported

Amazon Kinesis
Apache Kafka
RabbitMQ

Integrations Supported

Amazon Kinesis
Apache Kafka
RabbitMQ

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

Extrasys

Company Location

Italy

Company Website

www.iotsnap.it/en/

Company Facts

Organization Name

Guavus, a Thales company

Date Founded

2006

Company Location

United States

Company Website

sqlstream.com

Categories and Features

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

Categories and 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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