Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Analyze and utilize your data at the Edge to transform Big Data into manageable, pertinent insights. Gather sensor information from all your equipment and establish connections with various devices like sensors, PLCs, DCS, MES, or historians. Implement condition monitoring for assets located remotely, aligning with Industry 4.0 standards for effective data collection and integration. Merge real-time streaming data with enterprise data for seamless data flows, and utilize your preferred Cloud Provider or your own data center for data storage solutions. Leverage Crosser Edge's MLOps capabilities to bring, manage, and deploy your custom machine learning models, with the Crosser Edge Node supporting any machine learning framework. Access a centralized library for your trained models hosted in Crosser Cloud, and streamline your data pipeline using a user-friendly drag-and-drop interface. Easily deploy machine learning models to multiple Edge Nodes with a single operation, fostering self-service innovation through Crosser Flow Studio. Take advantage of an extensive library of pre-built modules to facilitate collaboration among teams across different locations, effectively reducing reliance on individual team members and enhancing organizational efficiency. With these capabilities, your workflow will promote collaboration and innovation like never before.
Description
Qubitro facilitates teamwork on device data and contemporary application creation. It imposes no restrictions on data ingestion or extraction, ensuring they do not impact overall usage. With built-in support for widely-used data sources, Qubitro also offers tools for seamless real-time collaboration on your initiatives alongside scalable infrastructure. To utilize Qubitro effectively, one must establish a project that organizes various data sources and platform functionalities. Additionally, enhance your startup's offerings through effective event planning and strategic marketing efforts. By leveraging these features, Qubitro empowers teams to innovate and expand their projects efficiently.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Advantech WebAccess/CNC
Yes
Azure Stream Analytics
Yes
Barracuda PST Enterprise
Yes
Google Cloud Platform
Yes
Microsoft Azure
Yes
SIGNL4
Yes
Integrations
Advantech WebAccess/CNC
No
Azure Stream Analytics
No
Barracuda PST Enterprise
No
Google Cloud Platform
No
Microsoft Azure
No
SIGNL4
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
$2 per device per month
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Crosser Technologies
Founded
2016
Country
Sweden
Website
www.crosser.io
Vendor Details
Company Name
Qubitro
Founded
2020
Country
United States
Website
www.qubitro.com
Product Features
IoT
Application Development
No
Big Data Analytics
No
Configuration Management
No
Connectivity Management
No
Data Collection
No
Data Management
No
Device Management
No
Performance Management
No
Prototyping
No
Visualization
No
IoT Analytics
Activity Dashboard
No
Activity Tracking
No
Analytics
No
Asset Tracking
No
Data Collection
No
Data Synchronization
No
Data Visualization
No
ETL
No
Multiple Data Sources
No
Performance Analysis
No
Real-Time Analytics
No
Real-Time Data
No
Real-Time Monitoring
No
Status Tracking
No
Product Features
Data Fabric
Data Access Management
No
Data Analytics
No
Data Collaboration
No
Data Lineage Tools
No
Data Networking / Connecting
No
Metadata Functionality
No
No Data Redundancy
No
Persistent Data Management
No