Broadcom DX Application Performance Management and VictoriaMetrics are competing products in the performance monitoring category. Broadcom has the upper hand in pricing and support, while VictoriaMetrics stands out for its feature set and perceived value.
Features: Broadcom DX Application Performance Management provides comprehensive monitoring, advanced analytics, and integration with multiple systems, facilitating diverse environments. VictoriaMetrics focuses on high performance with an efficient database designed for large-scale metrics storage and fast querying. It impresses with speed and scalability.
Ease of Deployment and Customer Service: Broadcom offers a traditional deployment model with extensive customer service options, streamlining setup for enterprises with robust requirements. VictoriaMetrics supports rapid deployment with minimal configuration needed, emphasizing simplicity and self-service.
Pricing and ROI: Broadcom DX Application Performance Management involves higher setup costs, with expectations of solid ROI due to its extensive feature set and support options. VictoriaMetrics offers lower deployment costs, leading to attractive ROI, particularly for organizations valuing high-speed data processing over broad feature sets.
Performance management solutions like Broadcom DX Application Performance Management are important for cost reduction and performance reviews.
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.
It is difficult to access the right person, and incidents sometimes need escalation.
In the early years, we needed support often, but due to accumulated experience with Broadcom DX Application Performance Management, we haven't needed to escalate any issues recently.
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 does not offer much flexibility in scalability.
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.
Stability is one of the strong points.
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.
It is also difficult to access the right person in support, and sometimes incidents need to be escalated, taking several contacts to resolve.
The first area for improvement is the discovery feature, which should be enhanced to collect comprehensive information from applications and services.
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 challenge arises during annual renewals, as the price increase can be significant, around twenty percent or more, which customers find difficult to understand.
The pricing is in the middle range.
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.
We have very good dashboards that are very useful for getting all the parameters of the application.
The most valuable feature of Broadcom DX Application Performance Management is the dashboard, which captures all the traces and generates alerts for performance monitoring.
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% |
| Broadcom DX Application Performance Management | 1.7% |
| Other | 98.0% |
| Company Size | Count |
|---|---|
| Small Business | 27 |
| Midsize Enterprise | 24 |
| Large Enterprise | 122 |
| Company Size | Count |
|---|---|
| Small Business | 3 |
| Midsize Enterprise | 2 |
| Large Enterprise | 2 |
Broadcom DX Application Performance Management offers proactive alerting, transaction tracing, and root cause analysis. It enhances end-user experience management through efficient dashboards and customizable reporting, extending monitoring over Java and .NET applications.
Broadcom DX Application Performance Management delivers comprehensive monitoring and performance insights across cloud and Java applications. It proactively addresses issues with tools like Introscope for rapid error identification and Customer Experience Manager for end-user management. The software's dashboards consolidate performance data in real-time, helping organizations enhance debugging and incident management. Its low overhead and integration with service tools make it well-suited for production environments. However, it faces potential improvements in areas such as UI updates, agent management, automation, and seamless integration with new technologies.
What are the standout features?Organizations in logistics, banking, and e-commerce implement Broadcom DX Application Performance Management to monitor performance across crucial environments. Their usage involves enhancing performance, debugging, and proactive incident management for cloud and Java apps, with management dashboards supporting greater transparency in crash analytics and server health checks, ultimately improving 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.
We monitor all Application Performance Monitoring (APM) and Observability 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.
