SensorCloud Description
SensorCloud stands out as an innovative platform for storing, visualizing, and remotely managing sensor data, utilizing robust cloud computing technologies to ensure exceptional scalability, quick data visualization, and customizable analytical capabilities. Among its key features are FastGraph, MathEngine®, LiveConnect, and the OpenData API, all designed to enhance user experience. The platform enables users to effortlessly construct dashboards for data visualization, ranging from straightforward Timeseries Graph widgets to more complex configurations featuring Radial Gauges, Text Charts, Linear Gauges, FFTs, and Statistics. Given that SensorCloud accommodates unlimited data uploads and LORD's sensors operate at very high sampling rates, the ability to swiftly visualize extensive datasets is crucial. Our search for an existing application that could manage substantial data volumes was unfruitful; thus, we developed a proprietary algorithm tailored to meet our unique needs and challenges in handling large-scale sensor data. Ultimately, this dedication to innovation ensures that SensorCloud remains a leader in the realm of sensor data management.
SensorCloud Alternatives
NetCrunch is commercial, self-hosted, agentless network and IT infrastructure monitoring software for Windows Server. It monitors network devices, servers, virtualization platforms, cloud services, applications, websites, logs, telemetry, and network traffic across distributed environments.
NetCrunch supports 680+ monitoring targets and provides 270+ ready-to-use Monitoring Packs for devices, applications, and operating systems. Policy-based monitoring automatically applies monitoring settings, Monitoring Packs, thresholds, and alerts to matching devices and systems. Licensing is based on monitored nodes and network interfaces rather than individual sensors, checks, or metrics.
NetCrunch provides real-time dashboards and automatic Layer 2 and routing topology maps for visibility into network status and performance. Network traffic analysis supports NetFlow, sFlow, IPFIX, and other flow technologies. Its alerting system supports event correlation, dependency-aware suppression, predictive thresholds, escalation, and 40+ automated response actions, including scripts, notifications, API calls, and integrations with external systems.
Distributed Monitoring Probes extend monitoring to remote and isolated locations. NetCrunch also provides a REST API for integration and automation with external IT management, service management, and operational systems.
NetCrunch is self-hosted on Windows Server and can monitor on-premises, air-gapped, cloud, and hybrid IT environments.
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Edgefinity IoT is a powerful RFID and IoT platform that gives organizations real-time visibility into inventory, assets, equipment, work-in-process, and personnel. By collecting data from RFID readers, sensors, and connected devices, the platform provides a clear view of what is happening across facilities and operations.
Edgefinity IoT helps businesses automate tracking, locate critical assets, monitor movement, verify inventory and shipments, improve production visibility, and support safety applications such as personnel tracking and emergency mustering. Configurable rules and alerts can automatically trigger actions when predefined conditions are met, helping teams respond faster and reduce manual oversight.
Built to work with a wide range of RFID hardware and IoT technologies, Edgefinity IoT can be deployed in the cloud or on-premise and scaled across applications, facilities, and enterprise operations.
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sensemetrics
Gain secure access to cutting-edge data visualization and analytics at your convenience, no matter the time or place. Utilize sophisticated device management features, diagnostics, and analytics to oversee distributed sensor networks effectively. Develop tailored image-based visualizations that incorporate embedded sensor information and their respective alert statuses. Construct data tables that feature both raw and calculated metrics for easy viewing, comparison, and exportation. Document and track changes to system and sensor properties throughout the entire project lifecycle to ensure comprehensive oversight. Specify conditions for calculating user-defined thresholds and enable adaptable notification distribution based on those criteria. Bring in essential documents, images, inspection logs, and event data to serve as a detailed record of project advancements and performance metrics. Leverage powerful tools for creating and disseminating reports while seamlessly linking those reports to real-time visualizations such as charts, graphs, maps, and dashboards. This integrated approach not only enhances project management but also improves decision-making and accountability throughout the project’s duration.
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C3 AI Sensor Health
C3 AI® Sensor Health guarantees the efficient operation of IoT devices and their network infrastructure throughout both the installation and operational phases of these devices. It allows users to visualize the status of sensors, track deployment progress, and pinpoint geographic areas that may require attention, while also providing a prioritized list of sensors that have been flagged for health concerns. Users can uncover issues related to sensor deployment, determine the origins of malfunctions, streamline field service operations, and anticipate future deployment advancements. It is crucial to maintain accuracy, consistency, and up-to-date installation information across both source and cloud data systems. Additionally, the platform facilitates the monitoring and analysis of the physical integrity, functionality, and communication capabilities of sensor devices, which aids in improving field service and resolving issues effectively. Users can visualize planned sensor installations alongside actual deployment and provisioning advancements, along with tracking operational problems and trends related to devices, and prioritize service tasks accordingly. The system also generates comprehensive analyses and consolidates findings through both preformatted and customized reports, which cover aspects such as failure analysis and health assessments, thus providing valuable insights for decision-making. Overall, this robust solution enhances the management and performance of IoT ecosystems.
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Pricing
Pricing Starts At:
$35 per month
Free Version:
Yes
Free Trial:
Yes
Company Details
Company:
LORD Corporation
Year Founded:
1924
Headquarters:
United States
Website:
sensorcloud.com/features
Media
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
In Person
Customer Support
Business Hours
Online Support
SensorCloud Features and Options
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