Sold by: Victoria Metrics
Deployed on AWS
Managed observability platform to deploy and run VictoriaMetrics and VictoriaLogs. Enterprise-ready monitoring and alerting solutions for infrastructure and application IT workloads. VictoriaMetrics Cloud provides cost-efficient time series and logging databases built on scalable open-source monitoring solutions, with added enterprise features (downsampling, retention filters). Guided integrations with Kubernetes, Grafana, Perses, Prometheus, OpenTelemetry, AWS CloudWatch, Fluentbit and more. Support from VictoriaMetrics engineers.
4.7
Overview
VictoriaMetrics Cloud is an easy-to-configure-and-run, enterprise-ready monitoring solution without the extra complexity and maintenance burden.
Ideal, fast and cost-effective solution for the following use cases:
- Managed Prometheus
- Long-term remote storage for Prometheus
- Global querying view (aka single pane of glass) for metrics collected from many sources
What does it do?
VictoriaMetrics Cloud allows users to run the VictoriaMetrics that they know and love (including its Enterprise features) on AWS without the need to perform typical DevOps tasks such as proper configuration, monitoring, logs collection, access protection, software updates, backups, etc.
How does it work?
We run VictoriaMetrics instances in our environment on AWS while providing easy-to-use endpoints for data ingestion and querying. The VictoriaMetrics team takes care of all optimal configuration and software maintenance.
What are the key features?
- VictoriaMetrics Cloud can be used as a Managed Prometheus: just configure Prometheus, vmagent or OpenTelemetry Collector to write data to VictoriaMetrics Cloud and then use the provided endpoint as a Prometheus datasource in Grafana.
- Every VictoriaMetrics Cloud instance runs in an isolated environment so instances aren't able to interfere with each other. VictoriaMetrics Cloud instances can be scaled up or down with just a few clicks.
- Automated backups.
- Highly optimized VictoriaMetrics core.
- Automated alerts and notifications.
Highlights
- Cost-effective - handles bigger workloads than competing solutions at a far lower cost.
- Optimized hardware spend - only pay for the compute resources that you actually use (instance type, disk and network).
- Ease of budgeting - costs don't depend on unexpected changes in workload such as spikes in data ingestion rate, active time series or heavy queries.
Details
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Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month |
|---|---|---|
VictoriaMetrics Cloud | Pay-as-you-go pricing - no subscription fee | $0.00 |
Dimension | Description | Cost/unit |
|---|---|---|
Usage - Detailed pricing information available in VictoriaMetrics Cloud | Detailed pricing information based on usage available in VictoriaMetrics Cloud | $1.00 |
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
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Negative reviews
AI generated from product descriptions
Time Series Database
Managed time series database built on VictoriaMetrics core optimized for storing and querying metrics data from Prometheus, OpenTelemetry, and other monitoring sources.
Metrics and Logs Ingestion
Support for data ingestion from Prometheus, vmagent, OpenTelemetry Collector, AWS CloudWatch, and Fluentbit with guided integrations for streamlined configuration.
Query and Visualization Integration
Compatible with Grafana and Perses as datasources, enabling unified querying and visualization of metrics collected from multiple sources through a single endpoint.
Enterprise Data Management
Downsampling and retention filters capabilities for optimizing storage and managing long-term metric retention with configurable data policies.
Automated Operations and Reliability
Automated backups, isolated instance environments preventing cross-instance interference, and automated alerts with notification capabilities for monitoring infrastructure and application workloads.
Application Performance Monitoring
Monitors application performance metrics, traces, and errors across the entire software stack with integrated APM capabilities.
Infrastructure and Log Monitoring
Provides infrastructure monitoring, log management, and analysis with centralized ingestion and querying of logs alongside metrics and traces.
Anomaly Detection and AIOps
Automatically detects anomalies, correlates issues, and reduces alert noise using AIOps capabilities included in the platform.
Multi-Source Telemetry Integration
Ingests and correlates telemetry data from multiple sources including OpenTelemetry instrumentation, Prometheus OpenMetrics, AWS services, and Kubernetes environments.
Pre-built Integration Library
Includes over 500 quickstart integrations for rapid deployment and monitoring of common applications and services.
Unified Telemetry Correlation
Correlates logs, metrics, and traces in a single interface with cross-system request tracing across infrastructure and deployments
OpenTelemetry Native Support
Built on OpenTelemetry standards with Prometheus compatibility and support for 100+ integrations
Pre-Ingestion Data Pipeline
Provides pre-ingestion workflows for data drop, remapping, redaction, and enrichment without code changes or redeployment
Role-Based Access Control
Implements role-based access management with audit trails, SSO/SAML authentication, and support for SaaS or BYOC deployment models
High-Scale Metric Processing
Supports 20M+ active time series per metric per day with stream aggregations and real-time filtering capabilities
Validated by AWS Marketplace
FedRAMP
GDPR
HIPAA
ISO/IEC 27001
PCI DSS
SOC 2 Type 2
No security profile
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No security profile
Standard contract
No
Customer reviews
reviewer2813076
Monitoring has become more efficient and resource usage has dropped significantly
Reviewed on May 30, 2026
Review provided by PeerSpot
What is our primary use case?
VictoriaMetrics is a time-series database that we use to handle a large volume of metrics coming from our application. We have multiple applications running, and we want to monitor everything to understand exactly what is happening, so we deployed VictoriaMetrics to serve as our time-series database and then use Grafana to visualize the data. VictoriaMetrics serves as a replacement for Prometheus to monitor all the time-series data that comes from our applications.
What is most valuable?
VictoriaMetrics is built with memory constraints in mind, and we saved a significant amount of memory after implementing it. The first advantage is that it is quite easy to use, and we can leverage PromQL queries in VictoriaMetrics with a straightforward deployment process.
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.
We observed that RAM was reduced by around 70% and disk usage by 75%, while write speed increased 3x and query per second P95 latency became 7x faster. The financial savings are significant because we observed a substantial reduction in resources such as CPU and memory after adopting VictoriaMetrics.
What needs improvement?
VictoriaMetrics is quite a good project and quite easy to use overall, though some documentation could be improved. The main area that needs improvement in VictoriaMetrics is the documentation itself, as the support is adequate and the open-source project does provide replies within one to two days.
For how long have I used the solution?
We have been using VictoriaMetrics for around two years.
What do I think about the stability of the solution?
VictoriaMetrics is stable.
What do I think about the scalability of the solution?
VictoriaMetrics's scalability is quite good.
How are customer service and support?
We use the open-source version of VictoriaMetrics, so we did not require any customer support. However, we do use the open-source project to contact them and learn more about the issues and projects that we are working on.
Which solution did I use previously and why did I switch?
We used Prometheus earlier, but we found that the resource usage was quite high, so we decided to try VictoriaMetrics, which resulted in a substantial reduction in resources.
How was the initial setup?
We did not require any license for VictoriaMetrics since we are using the open-source version, so the setup cost is what we incurred.
What's my experience with pricing, setup cost, and licensing?
We did not require any license for VictoriaMetrics since we are using the open-source version, so the setup cost is what we incurred.
Which other solutions did I evaluate?
Prometheus was the solution we were using, and we did not evaluate other options; we simply proceeded with VictoriaMetrics and have continued to use it.
What other advice do I have?
You should use VictoriaMetrics if you are currently using Prometheus, as I believe it is quite helpful and you should consider switching. I give this review an overall rating of 9.
Computer Software
A great option for the time se
Reviewed on Jun 12, 2025
Review provided by G2
What do you like best about the product?
Very fast to access the time series data , I can query, filter and visualize large data quickly
What do you dislike about the product?
GUI is not up to the mark . The charts displayed in UI are very basic and difficult to follow.
What problems is the product solving and how is that benefiting you?
It solved problems to access the time series data and visualization using Grafana . Previous to VM we used RDBMS which is different to manager or query.
Telecommunications
Working in production
Reviewed on Nov 03, 2022
Review provided by G2
What do you like best about the product?
We are using victora metrices in select insert and storage
What do you dislike about the product?
Nothing honeslty we are happy with the product
What problems is the product solving and how is that benefiting you?
We are facing issue with Prometheus so victoria metrics helped us a lot
Denys H.
It's a nice Prometheus or Influx stack replacement.
Reviewed on Apr 22, 2021
Review provided by G2
What do you like best about the product?
I think that is the best monitoring stack for IoT from open source that gives you a chance to use a cluster or single node server on different platforms with old or new devices like HDD or SSD disks.
What do you dislike about the product?
Some features are only for the enterprise version of VictriaMetrics.
What problems is the product solving and how is that benefiting you?
It reduced resource consumption in my installations. For IoT, it's the main feature.