

Splunk Observability Cloud and Eggplant Test compete in monitoring and testing platforms. Splunk Observability Cloud appears to have an advantage with its robust monitoring capabilities, offering comprehensive performance insights.
Features: Splunk Observability Cloud offers real-time data analysis, custom dashboards, and comprehensive monitoring. Eggplant Test is known for versatile test automation, AI-driven testing, and image recognition, which supports system independence.
Room for Improvement: Splunk Observability Cloud could improve integration with third-party tools and documentation. Eggplant Test needs better data management options and more integration with tools like JIRA.
Ease of Deployment and Customer Service: Splunk Observability Cloud provides flexibility with on-premises and cloud deployments but is sometimes complex. Eggplant Test is easy for on-premises but less so for cloud setups, with responsive support.
Pricing and ROI: Splunk Observability Cloud is considered expensive, justified by its visibility and performance benefits, whereas Eggplant Test is also costly, aiming at larger enterprises with robust budgets.
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.
Eggplant Test offers 24x7 support.
I'm not impressed because it depends on the resolution of the screen, so I wouldn't highly recommend this tool.
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.
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 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.
For big problems and complex automation tasks, I would prefer UFT because it has more flexibility and is more effective.
The two-system architecture that we currently follow could be better replaced with a one-system architecture.
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.
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.
It can auto-heal the test cases and suggest new paths for testing, enhancing our ability to automate end-to-end journeys across various applications.
It can integrate with GitHub, allowing you to work with DevOps pipelines, so whenever you make changes in GitHub, it runs and checks the smoke testing on the server.
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 | 4.6% |
| Eggplant Test | 0.9% |
| Other | 94.5% |


| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 3 |
| Large Enterprise | 14 |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 10 |
| Large Enterprise | 47 |
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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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