Solarwinds Netflow Traffic Analyzer -
A Windows service installed on your SolarWinds server (or a dedicated Additional Polling Engine). It listens on standard ports (UDP 2055, 6343, 4739, etc.). The collector ingests millions of flow records per minute, aggregates them, and stores them in the SolarWinds database.
| Feature | SolarWinds NTA | PRTG NetFlow | Scrutinizer | ManageEngine | | :--- | :--- | :--- | :--- | :--- | | | Enterprise (100k+ flows/sec) | SMB (10k flows/sec) | High (dedicated) | Medium | | CBQoS Monitoring | ✅ Native | ❌ | ✅ | ❌ | | Wireless WLC | ✅ Cisco/Juniper | ❌ | ❌ | ✅ | | Integration | Deep with NPM/SAM/NCM | Standalone only | Standalone | Limited | | Cost Model | Per-node (poller) | Per-sensor | Per-flow volume | Per-device | solarwinds netflow traffic analyzer
Routers, switches, and firewalls (Cisco, Juniper, Fortinet, Arista, etc.) generate flow records. Each record contains key fields: Source/Destination IP, Port, Protocol, Type of Service (ToS), and bytes/packets. A Windows service installed on your SolarWinds server
NTA collects, analyzes, and presents flow data from routers, switches, firewalls, and servers. It translates binary flow records into visual charts, top talkers lists, and historical reports. Imagine your helpdesk gets a complaint: "The ERP system is slow." With SNMP, you see the WAN link is at 98% utilization. With NTA, you drill down and discover that a single user in accounting is streaming 4K video via YouTube on the same link. That is the power of NetFlow analysis. 2. How It Works: The Architecture Understanding the flow of data is critical to deploying NTA successfully. The process involves three main components: | Feature | SolarWinds NTA | PRTG NetFlow
Enter . Designed as an add-on to the legendary SolarWinds Network Performance Monitor (NPM) or as a standalone module, NTA transforms raw flow data (NetFlow, sFlow, J-Flow, IPFIX) into actionable intelligence.
In the modern digital ecosystem, the network is the silent circulatory system of every organization. While it’s relatively simple to know if a link is up or down (thanks to standard uptime monitors), the real challenge lies in answering the harder questions: Who is using all the bandwidth? What application is causing latency? Where is that mysterious traffic spike coming from at 3:00 AM?