COMPARISON · SOLARWINDS ALTERNATIVE

Nova AI Ops vs SolarWinds

SolarWinds dominates traditional network and infrastructure monitoring. Nova is the AI-native modern replacement, with 100 specialized agents and autonomous remediation.

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Feature-by-Feature Comparison

SolarWinds Hybrid Cloud Observability and Network Performance Monitor are mature on-prem-friendly tools. Nova covers the same surface and adds AI agents, incidents, runbooks, and remediation.

CapabilityNova AI OpsSolarWinds
Network Monitoring Network observability + topology + AI root-cause Strong NPM heritage, deep network coverage
Infrastructure Monitoring Full-stack monitoring with AI anomaly detection Server, VM, application performance
Database Monitoring AI database insights Strong DPA + DPM products
Log Management 1B+ events with AI anomaly detection~ Loggly heritage, modest at modern scale
Distributed Tracing Flame graphs, service maps, SLA alerts~ Limited APM compared to Datadog/Dynatrace
AI Agents 100+ specialized agents for detection, diagnosis, remediation, postmortems~ AIOps add-on, no autonomous agents
Incident Management Built-in incident lifecycle, war rooms, post-mortems No native incident lifecycle
Auto-Remediation 78% incidents auto-resolved in <90s Alert routing only
On-Call Scheduling Follow-the-sun, zero-gap scheduling Requires PagerDuty / xMatters
Pricing Per-user pricing, Basic tier, no per-host/per-GB overages~ Per node + per module, enterprise contracts
Setup Time Under 3 minutes, one-command install~ Days to weeks for a full deployment
Status Pages Public status page + uptime SLA included No status page

Pricing Comparison

SolarWinds is priced per node, per module — across NPM, SAM, DPA, and Hybrid Cloud Observability. Nova replaces multiple modules with a single per-user platform fee.

Nova AI Ops

One platformper-user pricing

Full platform: monitoring, incidents, AI agents, runbooks, on-call, logs, tracing, auto-remediation. Basic tier available. See pricing.

SolarWinds

Per node + modulemultiple SKUs

NPM, SAM, DPA, Loggly, and Hybrid Cloud Observability are licensed separately. Most enterprises end up with 3–5 modules and a multi-year contract.

What your monthly bill looks like

SolarWinds covers the network and infrastructure surface — but the modern SRE workflow (incidents, on-call, runbooks, status) still lives elsewhere. Nova consolidates them.

SolarWinds + required stack
Estimated monthly cost
SolarWinds NPMper node$$
SolarWinds SAMper node$$
SolarWinds Logglyper GB$$
PagerDuty on-call (separate vendor)separate vendor$$
Statuspage (separate vendor)separate vendor$
Total / month 5 bills
5 line items · 2 vendors · multiple SolarWinds SKUs
Nova AI Ops
Estimated monthly cost
Nova AI Ops: Standard Everything included per-user pricing $
  • Infrastructure monitoring
  • APM & distributed tracing
  • Log management
  • Synthetic monitoring
  • Real user monitoring
  • Incident management
  • On-call & scheduling
  • AI runbooks & auto-remediation
Total / month 1 bill
1 line item · 1 vendor · per-user pricing. No overages.
Typical reduction
60–90%
Vendors consolidated
5 → 1
Predictability
No overages
Run your numbers →

SolarWinds pricing varies by node count and module mix. SolarWinds is a trademark of its respective owner. Nova AI Ops is not affiliated with or endorsed by SolarWinds.

Where SolarWinds Excels

SolarWinds remains a credible choice for the network-first crowd:

Where Nova AI Ops Wins

Nova was built for the AI era. Instead of bolting on features, everything is AI-native from the ground up:

Who Should Choose What?

Choose SolarWinds if...

  • You are an on-prem, network-heavy shop with NPM + DPA already in production
  • You don't need modern APM, AI agents, or autonomous remediation
  • You prefer a single SolarWinds contract over a SaaS subscription
  • Your DBA team specifically wants DPA

Choose Nova AI Ops if...

  • You want to consolidate monitoring, incidents, on-call, and remediation into one platform
  • You want AI that actually resolves incidents, not just shows dashboards
  • You are tired of bills that keep growing with data volume
  • You want to reduce MTTR from 47 minutes to under 2 minutes
  • You need 80% fewer incidents through proactive AI detection

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