

Splunk Observability Cloud and Azure Monitor compete in cloud-based monitoring and observability solutions. Splunk may have the upper hand due to its advanced features like detailed microservices insights and customizable dashboards.
Features: Splunk Observability Cloud is lauded for its real-time metrics and advanced application performance monitoring that integrate seamlessly. Its custom dashboards and microservices insights are invaluable for troubleshooting. Azure Monitor offers efficient log analysis, application performance insights, and Azure integration, which are effective in managing Azure-hosted resources but may lack the detailed insights seen in Splunk.
Room for Improvement: Splunk Observability Cloud needs more transparent pricing and enhanced log management. Users desire clearer cost structures and improved log search performance. Azure Monitor needs better third-party integrations and improved handling of complex setups. Both face pricing model challenges, but user expectations differ regarding AI capabilities and out-of-the-box functionalities.
Ease of Deployment and Customer Service: Splunk Observability Cloud is used in both on-premises and cloud environments, praised for its responsive technical support. Deployment flexibility attracts varied usage scenarios. Azure Monitor, mainly in cloud environments, excels in Azure service integration but receives mixed reviews on support responsiveness and documentation sufficiency.
Pricing and ROI: Both Splunk Observability Cloud and Azure Monitor are premium solutions, but Splunk is known for higher expenses relative to features, prompting pricing negotiations. Users report high ROI from efficiency gains. Azure Monitor's pay-as-you-go model meets budget needs but can cause cost fluctuations base on data usage, offering seamless Azure integration, though clarity is sometimes lacking.
Azure Monitor helps prevent impacts on their system.
Using Splunk has saved my organization about 30% of our budget compared to using multiple different monitoring products.
Anyone working in front-end management should recognize the market price to see the true value of end-user monitoring.
I have definitely seen a return on investment with Splunk Observability Cloud, particularly through how fast it has grown and how comfortable other teams are in relying on its outputs for monitoring and observability.
However, the second-line support is good.
Users end up getting no resolution from their team because they're outsourced vendors, and they don't have deeper expertise over any of the products they are referring to.
I would rate the support for Azure Monitor as a seven.
On a scale of 1 to 10, the customer service and technical support deserve a 10.
They have consistently helped us resolve any issues we've encountered.
They often require multiple questions, with five or six emails to get a response.
With APM, you can go heavy or you can go light. It just depends on what you want, what your use case is, and how reactive you want to be to system load or resilient to failure.
Azure Monitor is very scalable; there are no issues with scalability for different kinds of businesses.
We've used the solution across more than 250 people, including engineers.
As we are a growing company transitioning all our applications to the cloud, and with the increasing number of cloud-native applications, Splunk Observability Cloud will help us achieve digital resiliency and reduce our mean time to resolution.
I would rate its scalability a nine out of ten.
Azure Monitor is working fine, yet I face a costing issue as if there are a lot of logs collected in the workspace or in the center, it becomes very costly.
When downtime occurs, it raises concerns about how we measure and receive alerts, as everything needs to be in place.
I would rate its stability a nine out of ten.
We rarely have problems accessing the dashboard or the page.
If Azure Monitor can independently add one gigabyte, two gigabytes, or five gigabytes at least to log storage, I can fix the logs without syncing with Log Analytics Workspace and Sentinel.
The cost skyrockets once you start using it, and there are complaints that the actual cost of the Kubernetes cluster was less than the cost they were incurring for Azure Monitor.
The challenges with Azure Monitor are that it's initially complex to set up because you need multiple components.
The out-of-the-box customizable dashboards in Splunk Observability Cloud are very effective in showcasing IT performance to business leaders.
The next release of Splunk Observability Cloud should include a feature that makes it so that when looking at charts and dashboards, and also looking at one environment regardless of the product feature that you're in, APM, infrastructure, RUM, the environment that is chosen in the first location when you sign into Splunk Observability Cloud needs to stay persistent all the way through.
There should be a solution to update OTeL agents from Splunk Observability Cloud itself.
When I export logs into the application, workspace, log analytic workspace, and into Sentinel to read reports, I need to add storage, which increases the cost.
Splunk is a bit expensive since it charges based on the indexing rate of data.
It is expensive, especially when there are other vendors that offer something similar for much cheaper.
I can confidently say our availability improved by forty percent, and downtime was reduced by approximately seventy to eighty percent.
The alerting features definitely help in reducing operational downtime for my customers by allowing us to get notifications in advance and take active actions.
I also appreciate the ability to measure feature activity, see what types of devices they are on, follow specific use cases, and measure the amount of traffic going to a particular application.
Resource monitoring is essential.
Splunk provides advanced notifications of roadblocks in the application, which helps us to improve and avoid impacts during high-volume days.
For troubleshooting, we can detect problems in seconds, which is particularly helpful for digital teams.
It offers unified visibility for logs, metrics, and traces.
| Product | Mindshare (%) |
|---|---|
| Splunk Observability Cloud | 2.3% |
| Azure Monitor | 2.4% |
| Other | 95.3% |


| Company Size | Count |
|---|---|
| Small Business | 23 |
| Midsize Enterprise | 7 |
| Large Enterprise | 29 |
| Company Size | Count |
|---|---|
| Small Business | 30 |
| Midsize Enterprise | 8 |
| Large Enterprise | 55 |
Azure Monitor delivers comprehensive monitoring across applications and cloud resources, integrating seamlessly with Azure services to enhance performance tracking and telemetry analysis.
Azure Monitor extends monitoring capabilities for applications, infrastructure, and security, featuring easy integration with Azure and third-party tools. It supports dynamic alerting and telemetry, offering log analytics and metrics gathering. Users benefit from its alert system and intuitive dashboards, making it a preferred choice for multi-cloud and infrastructure monitoring across diverse IT environments. While users seek improved query building and interface navigation, they appreciate its scalability and cost-effectiveness.
What key features does Azure Monitor offer?Azure Monitor sees widespread use for infrastructure and application monitoring across industries. Companies rely on it for performance tracking and incident management, often integrating it with Application Insights for enriched data analysis. Organizations use it to monitor servers and cloud services, utilizing its capabilities in DevOps practices and during cloud transformation processes for analyzing database metrics and ensuring efficient application functioning.
Splunk Observability Cloud offers sophisticated log searching, data integration, and customizable dashboards. With rapid deployment and ease of use, this cloud service enhances monitoring capabilities across IT infrastructures for comprehensive end-to-end visibility.
Focused on enhancing performance management and security, Splunk Observability Cloud supports environments through its data visualization and analysis tools. Users appreciate its robust application performance monitoring and troubleshooting insights. However, improvements in integrations, interface customization, scalability, and automation are needed. Users find value in its capabilities for infrastructure and network monitoring, as well as log analytics, albeit cost considerations and better documentation are desired. Enhancements in real-time monitoring and network protection are also noted as areas for development.
What are the key features?In industries, Splunk Observability Cloud is implemented for security management by analyzing logs from detection systems, offering real-time alerts and troubleshooting for cloud-native applications. It is leveraged for machine data analysis, improving infrastructure visibility and supporting network and application performance management efforts.
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