

Splunk Observability Cloud and Amazon CloudWatch compete in the observability and monitoring category. Splunk Observability Cloud seems to have the upper hand due to its robust APM features and real-time troubleshooting capabilities with machine learning.
Features: Splunk Observability Cloud includes custom dashboards, data integration, and rapid deployment as a SaaS solution. It excels in application performance monitoring and provides real-time troubleshooting capabilities. Amazon CloudWatch benefits from tight integration with AWS infrastructure, offering extensive logging and alerting functionalities, detailed metrics, and scalability.
Room for Improvement: Splunk Observability Cloud could improve with better third-party tool integration, a more intuitive UI/UX, and cost considerations. Documentation and hybrid cloud support also need enhancement. Amazon CloudWatch needs improvements in APM features, real-time data visualization, integration with non-AWS services, and more comprehensive dashboards for detailed insights.
Ease of Deployment and Customer Service: Splunk Observability Cloud supports varied environments, offering a flexible deployment strategy that is user-friendly but complex in configuration for custom metrics. Its customer service receives mixed feedback, with some noting room for improvement. Amazon CloudWatch is utilized primarily on the public cloud, simplifying setup for AWS users. Its support is reliable, supported by comprehensive AWS documentation.
Pricing and ROI: Splunk Observability Cloud is often seen as expensive, but users feel the cost is justified by its comprehensive features and ROI through increased operational efficiency. The pricing model is complex but valued for analytics and security enhancements. Amazon CloudWatch is economically priced within AWS ecosystems, offering a solid ROI for AWS-invested organizations, though hidden costs can arise as project scopes expand.
Amazon CloudWatch offers cost-saving advantages by being an inbuilt solution that requires no separate setup or maintenance for monitoring tasks.
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.
In recent years, due to business expansion, knowledge levels among support engineers seem to vary.
While using their cloud and cloud resources, if you have an issue with CloudWatch, you must pay additional monthly fees to get time from dedicated tech support.
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.
It is already there as a managed service from AWS.
Amazon CloudWatch's scalability is managed by AWS.
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.
I sometimes notice slowness when Amazon CloudWatch agents are installed on machines with less capacity, causing me to use other monitoring tools.
I would rate its stability a nine out of ten.
We rarely have problems accessing the dashboard or the page.
Unlike NetScout or regular agents for APM, RUM has many problems during the POC phase because customer environments vary widely.
When using third-party dashboards such as Kibana or Grafana and other visualization tools, there should be a way to feed CloudWatch's data and logging capabilities into these visualization tools.
We are in a process of integrating Grafana, Loki, and Prometheus to have better visualization on Amazon CloudWatch.
Maybe Amazon Web Services can improve by providing a library for CloudWatch with some useful features.
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 is room for improvement in the alerting system, which is complicated and has less documentation available.
Overall, the pricing of Amazon CloudWatch is very expensive.
Amazon CloudWatch charges more for custom metrics as well as for changes in the timeline.
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.
It appears to be expensive compared to competitors.
Amazon CloudWatch allows me to set up and view even historical logs, which is one of the features I find valuable.
If there is a CPU spike or system issues, we set alarms to notify us if the system is going down or not reachable.
I like its filtering capability and its ability to give the cyber engine insights.
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 | Market Share (%) |
|---|---|
| Splunk Observability Cloud | 2.1% |
| Amazon CloudWatch | 1.5% |
| Other | 96.4% |


| Company Size | Count |
|---|---|
| Small Business | 17 |
| Midsize Enterprise | 9 |
| Large Enterprise | 24 |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 10 |
| Large Enterprise | 46 |
Amazon CloudWatch integrates seamlessly with AWS, providing real-time monitoring and alerting features. Its interface supports task automation, enhancing troubleshooting and analytics capabilities, while offering strong security and scalability at a cost-effective rate.
Amazon CloudWatch is an impactful platform for monitoring AWS resources and managing application performance. It simplifies infrastructure performance monitoring by providing comprehensive analytics capabilities, including application insights and event scheduling. Users appreciate CloudWatch for its detailed metrics, dashboards, and support in issuing alerts to detect anomalies. It efficiently tracks performance, optimizes resource utilization, and ensures service availability. CloudWatch is recognized for its robust alerting features and integration with other AWS services, further supporting its resource monitoring capabilities. However, there is room for improvement in dashboard customization, log streaming speed, and integration with non-AWS services. Enhancements in API integration, machine learning features, and support for third-party tools are also desired.
What features does Amazon CloudWatch offer?Industries implementing Amazon CloudWatch often focus on optimizing IT infrastructure. Companies in sectors like finance and e-commerce rely on its monitoring and alerting capabilities to ensure service uptime and performance. The platform's automation and analytics features empower teams to proactively manage performance and detect potential issues promptly.
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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