Find out in this report how the two Application Performance Monitoring (APM) and Observability solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
I have seen a return on investment with VictoriaMetrics, saving 40% in storage costs compared to Prometheus, reducing query latency by 60%, and cutting maintenance time by half.
time was saved due to simplicity and a shorter learning curve compared to other tools.
Because VictoriaMetrics runs more efficiently and much faster, debugging an issue or understanding system performance is much easier.
They need to work on their response time and overall competence.
The distributor's support is rated an eight out of ten, indicating room for improvement in SLA handling.
I am actually happy with technical support from NETSCOUT.
We reached out once or twice for minor issues during the initial setup and integration, and they were helpful in resolving the issues.
VictoriaMetrics customer support is exceptional.
We use the open-source version of VictoriaMetrics, so we did not require any customer support.
The solution is highly scalable and accommodates the growth needs effectively.
It is not similar to software solutions Datadog or Dynatrace where they can easily add agents without problems.
It handles large volumes of time series data efficiently, using less memory and disk compared to Prometheus or Thanos.
We deploy and embed it in our Helm chart and it works out of the box.
VictoriaMetrics has handled increases in data and users smoothly so far.
Datadog is more stable than NETSCOUT nGeniusONE, being a SaaS-based solution compared to on-prem solutions like NETSCOUT.
I rate the stability of NETSCOUT nGeniusONE as ten out of ten since we have not experienced any escalations or downtime issues from the end user's side.
Customers are more sensitive about NETSCOUT nGeniusONE's upgrades because it has hardware.
In terms of accuracy and reliability, VictoriaMetrics's output is pretty sufficient and works very well in a native Kubernetes setup, which I appreciate.
The components are simple, restarts are fast, and stateless parts can be replaced without data loss.
Regarding stability, I would rate it a ten out of ten.
Customers want to have service assurance, including NPM and APM, from one vendor.
It would be beneficial to see more AI capabilities included in nGeniusONE to further streamline processes.
Many big companies Samsung and Hyundai try to build their own monitoring solutions using open-source tools and their own engineers, though it has not been successful.
For our use cases, it is a really good offering, and while we would be interested to see what else it brings in the future, at this point in time it checks all our boxes and we are quite satisfied with it.
VictoriaMetrics is quite a good project and quite easy to use overall.
I compared it with my experience on other time series databases, and it has a huge advantage, so I do not see the need for urgent improvements or optimizations.
The cost depends on the size of the customer, as sizing controls the pricing.
Regarding its high price, I give NETSCOUT nGeniusONE a seven.
We did not require any license for VictoriaMetrics since we are using the open-source version.
I used the free open-source version, and it was sufficient for my needs.
My experience with pricing, setup cost, and licensing for VictoriaMetrics is positive since it is open-source under Apache 2.0, so there is no licensing cost.
The capability of real-time traffic intelligence is also very useful because it allows for the comparison between real-time and historical packet levels.
Their analysis capability actually surpasses other APM solutions, which is why customers love it.
NETSCOUT nGeniusPULSE has an easier dashboard to manipulate compared to SolarWinds.
The best aspect of using VictoriaMetrics is the reduction in resources including RAM, memory, disk, and other infrastructure requirements, which have all decreased substantially after implementation.
In my experience, the best features VictoriaMetrics offers include that VM agent does its work very efficiently and does not use a lot of resources.
Its compact storage and fast query performance make it ideal for long-term metric storage.
| Product | Mindshare (%) |
|---|---|
| VictoriaMetrics | 0.3% |
| NETSCOUT Network & Application Observability | 0.8% |
| Other | 98.9% |
| Company Size | Count |
|---|---|
| Small Business | 26 |
| Midsize Enterprise | 13 |
| Large Enterprise | 59 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 2 |
| Large Enterprise | 2 |
NETSCOUT Network & Application Observability enhances network operations by offering powerful packet analysis and real-time insights. It transforms raw data into intelligence and simplifies troubleshooting, ensuring effective monitoring across diverse platforms.
NETSCOUT Network & Application Observability delivers comprehensive visibility and interoperability with a single pane of glass to aid in quick troubleshooting and traffic monitoring. It provides real-time insights and metrics that enhance network evaluations, helping transform raw data into actionable intelligence for better performance monitoring across diverse environments. However, it faces challenges like complexity, non-intuitive dashboard setup, and high server requirements. Enhancements in data analysis, visualization, and security features, along with improved integration with other products and detailed alerts, are needed.
What are the key features of NETSCOUT Network & Application Observability?
What benefits do users highlight?
NETSCOUT Network & Application Observability is widely implemented in industries such as telecom and banking for network troubleshooting and application performance management. It helps in monitoring infrastructure, capturing unknown traffic, and managing bandwidth. The tool supports security alerts, real-time communications analysis, and proactive monitoring of remote sites, aiding in efficient network operations and enhanced end-user experience.
Teams that switch to VictoriaMetrics report 70% less RAM and 75% less disk (verified PeerSpot user reviews), and cloud bills up to 10x lower (Grammarly case study) — while keeping their existing dashboards and alerting rules working. It is an open source observability solution for metrics, logs, and traces: a drop-in replacement for Prometheus and other backends that keeps scaling when data volume, query speed, or cost no longer does. It runs anywhere — from a Raspberry Pi to thousand-core clusters, on-premises or in the cloud — and is Kubernetes- and OpenTelemetry-compatible. Built by engineers, for engineers: Over 1B Docker pulls, 19M GitHub downloads, and 27K+ GitHub stars. Simple, reliable, and efficient observability for everyone.
VictoriaMetrics delivers observability in two complementary forms. The open source products are complete, production-grade, and free to run at any scale. Enterprise builds on that same code with capabilities and support for the most demanding environments — it extends open source rather than gating it.
Open source. VictoriaMetrics is a high-performance time series database and monitoring solution, compatible with PromQL via MetricsQL, so existing Prometheus dashboards, recording rules, and alerting rules keep working. VictoriaLogs is a logs database for mission-critical logging, and VictoriaTraces stores and queries distributed tracing data. All three are engineered for minimal RAM, disk, and compute at high ingestion rates.
Enterprise. VictoriaMetrics Enterprise adds features for large, multi-team deployments — plus direct support from the engineers who build the product, with architectural and security guidance. VictoriaMetrics Cloud is the same solution fully managed, and VictoriaMetrics Anomaly Detection applies machine learning to cut alert noise, so the alerts that do reach your team in Slack or on their phones are the ones that matter.
Measured results from users. PeerSpot reviewers report roughly 70% lower RAM use, 75% lower disk use, 3x faster writes, and 7x faster p95 query latency after replacing Prometheus. Grammarly cut its monitoring-related AWS bill about 10x; Granulate reduced metrics storage costs about 5x after moving from Grafana Cloud (Mimir).
Why teams choose VictoriaMetric
What are the key features of VictoriaMetrics?
What benefits and ROI should users expect?
Top use cases
VictoriaMetrics runs in production across finance, telecommunications, energy, scientific research, and IoT — from CERN's particle physics experiments to IHI Terrasun's utility-scale battery storage to Grammarly's product infrastructure. Wherever real-time telemetry at scale is critical, it delivers simple, reliable, and efficient observability for everyone. By engineers, for engineers.
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