

HPE OneView and VictoriaMetrics are competing products in IT infrastructure management and monitoring. HPE OneView tends to have the upper hand in comprehensive infrastructure management, while VictoriaMetrics shines in high-performance data monitoring and scalability.
Features: HPE OneView is recognized for integrated systems monitoring, automated workflows, and holistic infrastructure management. VictoriaMetrics distinguishes itself with scalable performance, efficient data handling for Internet-scale applications, and robust open-source data monitoring.
Ease of Deployment and Customer Service: HPE OneView offers streamlined deployment with extensive support, enhancing user experience. In contrast, VictoriaMetrics provides a faster integration with its simpler deployment model, appealing to businesses focused on time efficiency.
Pricing and ROI: HPE OneView involves higher initial setup costs but offers strong returns through its robust feature set. VictoriaMetrics presents a budget-friendly setup with significant returns, especially for those prioritizing cost-effective data management.
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.
The customer service and support have been responsive.
I would give the quality of HPE OneView's technical support an eight out of ten rating, indicating good customer service and support in my opinion.
The technical support for HPE OneView rates as an 8 on a scale from 1 to 10, where 1 is the worst and 10 is the best.
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.
HPE OneView is highly scalable, especially useful for organizations with large infrastructures.
HPE OneView is a scalable solution since you can integrate any number of servers based on your license.
Scalability is fine as we can add Synergy frames and extend many frames as needed.
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.
The stability of the blades is concerning; we have frequent issues with blades having memory or power issues.
HPE OneView is a stable solution that works efficiently.
It supports unified monitoring effectively but may have areas for enhancement.
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.
The upgrade process is lengthy, requiring careful planning as we cannot match ESXi versions without aligning OneView first, leading to delays.
I believe the prices of HPE OneView should be reduced, as it is quite expensive.
From the dashboard and reporting perspective, HPE OneView could be improved by having multiple modules rather than just a single customization option.
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.
Customers need to pay a substantial amount for the licenses, especially when monitoring a large number of servers and storages.
Our main concern is managing expenses related to the VMware licensing model which affects blade usage.
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.
I can monitor everything in one view, which has significantly improved operational efficiency for us.
The ease of management with HPE OneView is excellent.
One of the best features of HPE OneView is that you get a complete architecture with a single click.
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 | 0.6% |
| HPE OneView | 1.0% |
| Other | 98.4% |
| Company Size | Count |
|---|---|
| Small Business | 22 |
| Midsize Enterprise | 15 |
| Large Enterprise | 51 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 2 |
| Large Enterprise | 2 |
HPE OneView offers a centralized platform for managing IT infrastructure with ease, emphasizing automation and reducing errors. Its integrated approach provides users unified control over storage, compute, and network management.
HPE OneView delivers comprehensive infrastructure visibility and effective monitoring through a user-friendly interface. Automation, real-time alerts, and quick server deployment enhance operational efficiency. Seamless integration and profile templates further streamline workflows. Despite its strengths, some users seek improved navigation, faster response times, and extended platform support. Enhanced reporting and support for older hardware models are desirable.
What key features make HPE OneView valuable?Companies leverage HPE OneView across sectors such as finance, telecom, and government, utilizing its capabilities for unified monitoring, management, and configuration. It's implemented on-premises and as a hybrid cloud management interface, supporting environments like Synergy and VMware. By integrating with virtualization platforms, it advances hardware, firmware, and network management efficiency, significantly reducing manual processes.
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.
We monitor all IT Infrastructure Monitoring reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.