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Average Ratings 0 Ratings
Description
C-Data CMS is a cloud-enabled network and device management platform designed for ISPs and telecom operators. It provides centralized oversight and control of large-scale access networks, supporting up to 500,000 devices across OLTs, ONUs, routers, and third-party equipment. The system manages the full device lifecycle—from initial deployment and provisioning to configuration, monitoring, and ongoing performance maintenance. CMS integrates multiple management protocols, including EMS, TR-069 ACS, OMCI, and MQTT, enabling operators to manage heterogeneous networks from a single interface.
The platform aggregates real-time and historical metrics, generates alarms, and performs automated diagnostics to help engineers identify and resolve issues efficiently. Its dashboard provides a clear view of network health, device status, and operational trends. For deployment flexibility, CMS supports both on-premise and SaaS environments and works across Windows, Linux, and mobile applications for iOS and Android. Role-based access control further allows organizations to align permissions with operational responsibilities.
Key capabilities include:
• Unified management of multi-vendor OLTs, ONUs, routers, and third-party devices
• Real-time monitoring, alarms, and historical performance analysis
• Automated configuration, backups, and fault diagnostics
• Support for EMS, TR-069 ACS, OMCI, and MQTT device management
• Deployment across SaaS or on-premise infrastructures with multi-platform support
C-Data CMS helps operators streamline network operations, improve visibility, and maintain consistent service reliability across rapidly expanding fiber access environments.
Description
Your enterprise relies on immediate data from its backend infrastructures to provide actionable insights and foster growth. The CData Power BI Connectors serve as an essential component in optimizing your data value chain. These connectors present the quickest and simplest approach to linking Power BI with over 250 enterprise data sources, allowing you to harness the full potential of Power BI for comprehensive data analysis. With ease, you can connect Microsoft Power BI to live data from accounting, CRM, ERP, marketing automation, as well as both on-premise and cloud-based systems for real-time visual analytics and reporting. Numerous popular data sources are supported by Power BI connectors, such as: - Microsoft Dynamics CRM - MongoDB - NetSuite - QuickBooks - Sage Intacct - Salesforce - SAP - SharePoint - Snowflake - And over 200 additional sources! Furthermore, the CData Connectors enhance query speed and performance with advanced features like DirectQuery and QueryPushdown, ensuring that your data analysis is both efficient and effective. These capabilities empower businesses to make more informed decisions based on the latest available information.
API Access
Has API
API Access
Has API
Integrations
Microsoft Dynamics 365
Microsoft SharePoint
MongoDB
NetSuite
QuickBooks Online
QuickBooks Online Advanced
SAP CRM
SAP ERP
Sage Intacct
Salesforce
Integrations
Microsoft Dynamics 365
Microsoft SharePoint
MongoDB
NetSuite
QuickBooks Online
QuickBooks Online Advanced
SAP CRM
SAP ERP
Sage Intacct
Salesforce
Pricing Details
Bundled with hardware.
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
Shenzhen C-Data Technology Co., Ltd.
Founded
2009
Country
China
Website
www.cdatatec.com/cms/
Vendor Details
Company Name
CData Software
Country
United States
Website
cdata.com
Product Features
Product Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics