List of SolarWinds NetFlow Traffic Analyzer (NTA) Customers
Austin, 78735, TX,
United States
Since 2010, our global team of researchers has been studying SolarWinds NetFlow Traffic Analyzer (NTA) customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased SolarWinds NetFlow Traffic Analyzer (NTA) for Network Data Intelligence from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using SolarWinds NetFlow Traffic Analyzer (NTA) for Network Data Intelligence include: S&C Electric, a United States based Manufacturing organisation with 3000 employees and revenues of $800.0 million, Western Kentucky University, a United States based Education organisation with 4000 employees and revenues of $328.0 million, Cais, University Of Dundee, a United Kingdom based Education organisation with 3000 employees and revenues of $300.0 million and many others.
Contact us if you need a completed and verified list of companies using SolarWinds NetFlow Traffic Analyzer (NTA), including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The SolarWinds NetFlow Traffic Analyzer (NTA) customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Cais, University Of Dundee | Education | 3000 | $300M | United Kingdom | Solarwinds | SolarWinds NetFlow Traffic Analyzer (NTA) | Network Data Intelligence | 2007 | n/a |
In 2007, Cais, University Of Dundee deployed SolarWinds NetFlow Traffic Analyzer (NTA) to monitor campus LAN and WAN flows, detect peer-to-peer activity, and improve security visibility across thousands of devices. The implementation established a Network Data Intelligence capability that centralized flow capture and analysis for campus network operations and security teams.
SolarWinds NetFlow Traffic Analyzer was configured to collect NetFlow/IPFIX/sFlow style telemetry from core routers and distribution switches, enabling traffic forensics, anomaly detection, and volumetric reporting. The deployment emphasized flow-level analysis, peer-to-peer identification, and simplified root-cause workflows to accelerate investigation of network performance and security incidents.
Operational coverage focused on the University of Dundee campus network, instrumenting thousands of devices and providing continuous flow visibility to IT and network operations, and security analysts. The project consolidated traffic monitoring into a single Network Data Intelligence layer, supporting incident triage and network performance troubleshooting.
Governance practices introduced alongside the deployment included standardized monitoring policies and alerting workflows to operationalize flow-based detection and escalation for incidents. The 2007 rollout enabled faster identification of anomalous flows and simplified root-cause analysis for both network performance and security incidents.
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S&C Electric | Manufacturing | 3000 | $800M | United States | Solarwinds | SolarWinds NetFlow Traffic Analyzer (NTA) | Network Data Intelligence | 2007 | n/a |
In 2007, S&C Electric implemented SolarWinds NetFlow Traffic Analyzer as part of its Network Data Intelligence tooling to improve visibility across corporate and field networks in the United States. The network and IT team deployed SolarWinds NetFlow Traffic Analyzer to analyze interface traffic, identify bandwidth hogs, and optimize application performance across distributed sites.
The deployment used flow based collection and analysis to provide real time traffic reporting and historical trending, leveraging NetFlow classifcation and top talker reporting to surface interface level bottlenecks. Configuration focused on per interface metrics, bandwidth utilization dashboards, and alerting for unusually high traffic flows, consistent with Network Data Intelligence practices for flow aggregation, storage, and visualization.
Operationally the implementation covered corporate network cores and remote field network links, and it changed troubleshooting workflows by giving network operations a single pane for flow analysis. Reported outcomes included improved real time traffic reporting and reduced time to isolate network bottlenecks, enabling faster incident isolation and more targeted remediation by the IT team.
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Western Kentucky University | Education | 4000 | $328M | United States | Solarwinds | SolarWinds NetFlow Traffic Analyzer (NTA) | Network Data Intelligence | 2023 | n/a |
In 2023 Western Kentucky University implemented SolarWinds NetFlow Traffic Analyzer (NTA) as part of a SolarWinds Hybrid Cloud Observability self-hosted deployment to extend end-to-end visibility across on-premises and hybrid environments. The implementation targeted Network Data Intelligence capabilities to support IT and network operations across the university campus in the United States.
SolarWinds NetFlow Traffic Analyzer (NTA) functionality was provisioned within the observability suite to enable flow collection and traffic analysis, bandwidth monitoring, and historical flow trending consistent with Network Data Intelligence practices. Configuration focused on flow-based telemetry ingestion and correlation to surface congestion and utilization patterns, while leveraging the self-hosted observability framework for centralized storage and analysis.
The deployment architecture was centered on a self-hosted hybrid observability model that connected on-premises campus network segments with cloud-hosted services, delivering unified visibility for network operations. Operational scope covered IT and network operations teams and campus network monitoring, consolidating multiple point tools into a single observability platform to reduce tool sprawl.
Governance changes emphasized centralized monitoring workflows and incident triage processes to accelerate detection and resolution of network issues. The United States deployment reduced tool fragmentation and lowered total cost of ownership, with accelerated issue detection and resolution resulting from the integrated Network Data Intelligence capabilities.
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