USM Anywhere and VictoriaMetrics compete in the security management and monitoring segments, respectively. USM Anywhere has the upper hand in comprehensive security, while VictoriaMetrics stands out in scalability and efficiency for large-scale data handling.
Features: USM Anywhere offers integrated threat detection, compliance management, and response capabilities, catering mainly to organizations prioritizing security. VictoriaMetrics provides a highly efficient time-series database optimized for large-scale data ingestion, swift querying, and robust performance monitoring.
Ease of Deployment and Customer Service: USM Anywhere facilitates deployment through its SaaS model and robust customer service, ensuring a seamless setup and ongoing support. VictoriaMetrics offers fast deployment in cloud-native environments, though customers may need more technical expertise to optimize it. USM Anywhere's extensive support services give it an edge over VictoriaMetrics's self-managed approach.
Pricing and ROI: USM Anywhere involves a higher initial cost but provides significant ROI through its security capabilities. VictoriaMetrics is cost-effective for large-scale data needs, showing substantial value in high-volume metrics handling. Its lower costs attract businesses focused on efficient data monitoring, while USM Anywhere's comprehensive security may justify its higher cost for certain organizations.
Customers see ROI as they save on staff and other resources.
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.
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.
USM Anywhere faces scalability issues because of a 60 TB limit.
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.
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.
There are scalability issues due to a 60 TB limit, which restricts its use for large customers like banks.
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 pricing is amazing and really cheap.
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 365-day block query is a major feature.
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 | 0.2% |
| LevelBlue USM Anywhere | 1.6% |
| Other | 98.2% |
| Company Size | Count |
|---|---|
| Small Business | 65 |
| Midsize Enterprise | 29 |
| Large Enterprise | 25 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 2 |
| Large Enterprise | 2 |
USM Anywhere provides centralized logging, vulnerability scanning, and real-time event correlation, enhancing cybersecurity management and compliance with standards like PCI DSS and ISO 27001. It integrates smoothly with third-party applications and offers diverse, flexible deployment options.
USM Anywhere stands out for its integrated network and host IDS, asset management, and intuitive deployment that enhances efficiency. The platform simplifies security tasks by offering a comprehensive view that aids in compliance and aligns with security regulations such as PCI and GDPR. Despite its strengths, areas like IPv6 support, custom rule creation, and reporting require attention. Users note awkward reporting features and limited integration options. Enhancements are needed in threat detection and vulnerability scanning for faster response times and better support.
What are the key features of USM Anywhere?
What benefits and ROI can users expect?
In industries such as cloud services and enterprise security, USM Anywhere is used extensively for SIEM, managing logs, and detecting security incidents. It supports AWS environment monitoring, providing managed services to clients and facilitating compliance with standards like PCI and GDPR.
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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