Splunk Observability Cloud and Prometheus Group compete in the observability and monitoring category. Based on available data, Splunk appears to have the upper hand due to its advanced real-time data processing and comprehensive application performance monitoring features.
Features: Splunk Observability Cloud offers extensive log analytics, customizable dashboards, and real-time data visualization, praised for comprehensive application performance monitoring across multiple environments. Prometheus Group, with its open-source nature, promises extensive integrations, particularly with Kubernetes, and strong metric collection and visualization abilities but lacks some advanced real-time processing seen in Splunk.
Room for Improvement: Splunk Observability Cloud could enhance pricing, scalability, automated data integration, and real-time alerting systems. Prometheus Group users suggest improvements in user interface, documentation, scalability, security monitoring, and enhanced real-time log analysis support.
Ease of Deployment and Customer Service: Splunk Observability Cloud is versatile, supporting on-premises, public cloud, and hybrid cloud deployment models, with organized customer support noted for its promptness, although there are calls for improved resolutions and staff expertise. Prometheus Group, similarly, is widely used in diverse environments but often relies on community support due to its open-source model.
Pricing and ROI: Splunk Observability Cloud is considered expensive, with potential added licensing costs, and users report mixed ROI experiences despite recognizing its effectiveness. Prometheus Group is lauded for cost-effectiveness due to being open-source, offering significant value without licensing fees, although potential hidden infrastructure expenses are noted when scaling or using managed services.
Using open-source Prometheus saves me money compared to AWS native services.
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.
Prometheus does not offer traditional technical support.
They often require multiple questions, with five or six emails to get a response.
Support from Splunk is not very helpful because Splunk doesn't have a dedicated APM; they only have one APM engineer in Korea.
They did respond to us, but they did not explicitly inform us about the feature's absence.
Prometheus is scalable, with a rating of ten out of ten.
We've used the solution across more than 250 people, including engineers.
I would rate its scalability a nine out of ten.
The issue is mainly about pricing because if they want to monitor more, it costs money.
Deploying it on multiple instances or using Kubernetes for automatic management has enhanced its stability.
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.
There is room for improvement in the alerting system, which is complicated and has less documentation available.
Improvements in dashboard configuration, customization, and artificial intelligence functionalities are desired.
Customers sometimes need to create specific dashboards, particularly for applicative metrics such as Java and process terms.
Prometheus is cost-effective for me as it is free.
Splunk is a bit expensive since it charges based on the indexing rate of data.
It appears to be expensive compared to competitors.
Splunk is a little expensive, however, it is in line with the current market pricing.
It allows me to save money by avoiding costs associated with AWS native services like CloudWatch or Amazon Prometheus.
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.
Prometheus Group specializes in robust monitoring and observability, offering comprehensive data collection, analysis, and visualization across cloud and on-premise environments. Its integration with tools like Python, Java, and Kubernetes enables users to track metrics efficiently.
Prometheus Group provides an open-source, customizable platform focused on flexibility and reliability. Its integration with Grafana enhances data visualization while supporting complex infrastructures for improved productivity. Users rely on its scalable architecture for effective monitoring and observability, aiding performance analytics and alerting. Despite its strengths, challenges with its query language and interface usability persist, along with a need for simpler setup. Enhancing documentation and reporting capabilities remains essential for broader adoption, especially among less technical users.
What are the standout features of Prometheus Group?Prometheus Group is widely implemented across industries like cloud services and IT infrastructure. Organizations monitor infrastructure, applications, and databases, utilizing its capabilities for system scalability and health checks within Azure and Amazon ecosystems. Its integration with Kubernetes supports performance monitoring and ensures reliable data analytics, fostering comprehensive metric tracking.
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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