Splunk Observability Cloud and Prometheus-AI Platform are rivals in the field of monitoring and observability tools. Splunk appears to have the upper hand due to its broader feature set and ease of use.
Features: Splunk Observability Cloud offers real-time problem-solving with machine learning, custom dashboard creation, and comprehensive application performance management. Its integration with diverse cloud environments makes it versatile. Prometheus-AI Platform excels in flexible integration with numerous operators, powerful metrics collection capabilities, and open-source adaptability, which allows for extensive customization.
Room for Improvement: Splunk users seek enhanced integration with third-party tools and cost optimization. The complexity of configuration, particularly for automation and dashboards, is another concern. Prometheus could improve its user interface and query language while expanding its integration with additional data sources. It lacks intuitive alerting and some advanced features that Splunk provides.
Ease of Deployment and Customer Service: Splunk supports deployment in hybrid or cloud environments, known for robust service support, although some users desire quicker response times. Prometheus, commonly self-deployed, benefits from strong community support and thorough documentation, which many users find sufficient.
Pricing and ROI: Splunk is recognized for its advanced capabilities but is generally more expensive, which could be a barrier for some. It provides significant business impact and operational efficiencies. Prometheus, as a cost-effective open-source tool, offers flexibility with minimal expenses. Organizations find Prometheus offers substantial cost savings, shaping a different ROI perspective.
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.
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.
Prometheus does not offer traditional technical 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.
Prometheus is scalable, with a rating of ten out of ten.
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.
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.
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.
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 is expensive, especially when there are other vendors that offer something similar for much cheaper.
It appears to be expensive compared to competitors.
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.
| Product | Market Share (%) |
|---|---|
| Prometheus-AI Platform | 1.8% |
| IBM Maximo | 16.0% |
| Oracle Enterprise Asset Management | 7.8% |
| Other | 74.4% |
| Product | Market Share (%) |
|---|---|
| Splunk Observability Cloud | 2.2% |
| Dynatrace | 6.6% |
| Datadog | 5.5% |
| Other | 85.7% |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 8 |
| Large Enterprise | 13 |
| Company Size | Count |
|---|---|
| Small Business | 20 |
| Midsize Enterprise | 10 |
| Large Enterprise | 47 |
Prometheus-AI Platform offers flexible solutions for collecting, visualizing, and comparing metrics, appreciated for its scalability, rich integrations, and open-source adaptability.
Prometheus-AI Platform provides a reliable framework for monitoring and analyzing metrics across diverse environments. With extensive API support, it supports data collection, querying, and visualization, integrating seamlessly with tools like Grafana. High availability, scalability, and lightweight configuration make it suitable for traditional and microservice environments, while community support enhances its utility. Though its query language and interface require improvements for better ease of use, and with calls for stronger integration options, the platform remains a leading choice for comprehensive metric analysis.
What are Prometheus-AI Platform's main features?Companies leverage Prometheus-AI Platform across various industries, utilizing it to monitor and analyze metrics from applications and infrastructure. It is extensively used in financial services and IT sectors for collecting, scraping logs, and monitoring Kubernetes deployments. Deployed both on-premise and in cloud environments like Azure and Amazon, it supports system and application metrics analysis, ensuring a comprehensive view for developers.
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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