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support

Description

sclera, a robust Network Monitoring software, caters to Property Owners, Property Managers, Vendors, System Integrators, etc., by providing cost-effective solutions to remotely monitor an unlimited number of devices. sclera adapts its system and develops a network map based on the property's infrastructure. Users are provided an activity dashboard that enables them to monitor their devices across several networks. This helps users locate and identify network issues by receiving instant notifications for device failures, sensor alarms, advanced reports and statistics, and many more. A graphically descriptive network topology aids in the easy identification of faulty devices in real-time, allowing for quick resolution of issues. sclera helps devices connected to it run smoothly by integrating multiple sensors from myDevices, Disruptive Technologies, Datahoist, and others. The remote access option in sclera allows vendors to securely diagnose devices while troubleshooting networks using a variety of network tools from anywhere in the world. Various network protocols such as SNMP, BACnet, LoRaWAN are supported by sclera.

Description

It facilitates device connectivity through widely accepted IoT protocols such as MQTT, CoAP, and HTTP, accommodating both cloud and local installations. ThingsBoard is engineered for scalability, reliability, and high performance, ensuring that your data remains secure and intact. You can provision, monitor, and manage your IoT devices securely by utilizing comprehensive server-side APIs. Establish connections among your devices, assets, customers, or other entities with ease. Efficiently gather and archive telemetry data in a scalable and resilient manner. You can visualize your data using either built-in or personalized widgets and adaptable dashboards, which can also be shared with clients. The platform allows you to create data processing rule chains, enabling you to transform and standardize your device data. It can trigger alerts based on incoming telemetry events, updates to attributes, periods of device inactivity, and user interactions. Build a ThingsBoard cluster to achieve maximum scalability and fault tolerance through a microservices architecture. Furthermore, ThingsBoard accommodates both cloud and on-premises setups, making it a versatile choice for various deployment needs. This flexibility ensures that users can tailor their IoT solutions according to specific requirements and preferences.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Kinesis
Amazon S3
Amazon Simple Queue Service (SQS)
Azure Event Hubs
Azure IoT Hub
Azure Marketplace
Azure Storage
Google Cloud Platform
ServiceNow
Zendesk

Integrations

Amazon Kinesis
Amazon S3
Amazon Simple Queue Service (SQS)
Azure Event Hubs
Azure IoT Hub
Azure Marketplace
Azure Storage
Google Cloud Platform
ServiceNow
Zendesk

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

Sclera

Founded

2018

Country

United States

Website

www.sclera.com

Vendor Details

Company Name

Thingsboard

Country

Ukraine

Website

thingsboard.io

Product Features

Product Features

IoT

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

IoT Analytics

Activity Dashboard
Activity Tracking
Analytics
Asset Tracking
Data Collection
Data Synchronization
Data Visualization
ETL
Multiple Data Sources
Performance Analysis
Real-Time Analytics
Real-Time Data
Real-Time Monitoring
Status Tracking

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