Splunk Observability Cloud and Prometheus-AI Platform compete in the monitoring and observability domain. While Splunk is favored for its enterprise-level capabilities, Prometheus stands out for its open-source flexibility and cost-effectiveness.
Features: Splunk Observability Cloud offers comprehensive monitoring capabilities, real-time insights, and robust data integration which enhance operational efficiency and scalability. Its customizable dashboards and alerting system are notably valuable, particularly for enterprise environments requiring high visibility. Prometheus-AI Platform excels with its lightweight configuration and detailed metric collection, boasting strong integration with tools like Grafana. Its open-source foundation offers customization and affordability, making it suitable for budget-conscious organizations.
Room for Improvement: Splunk Observability Cloud users often request improvements in cost transparency and log management to enhance data navigation. They also desire a smoother learning curve and better integration features for new user onboarding. Prometheus-AI Platform requires a more intuitive query language and simplified configuration process, with users seeking improved documentation and interface usability.
Ease of Deployment and Customer Service: Splunk Observability Cloud provides varied deployment options including hybrid and public cloud, supported by strong customer service, though premium support options raise cost concerns. Prometheus-AI Platform's flexibility is evident in its compatibility with on-premises and public cloud setups, but it lacks extensive customer service, relying primarily on community-driven support.
Pricing and ROI: Splunk Observability Cloud is perceived as expensive, justified by its comprehensive features that cater to enterprise needs and provide ROI through reduced downtime and improved efficiency. Prometheus-AI Platform, being open-source, offers a cost-effective alternative with savings in licensing fees, appealing to organizations prioritizing budget over extensive support.
Using open-source Prometheus saves me money compared to AWS native services.
We have saved considerable amounts of money, reducing our expenditures from around three to four crores to approximately one to one point two crores.
We have been able to save a great deal of money, and our profits have increased by twenty percent.
We've been able to lower our mean time to resolution and make sure that we are resilient and quickly recover from disasters.
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.
The customer support system is the foundational pillar of any successful business.
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.
We have never seen any kind of downtime or crashes, as it has been absolutely very easy to scale.
Deploying it on multiple instances or using Kubernetes for automatic management has enhanced its stability.
When downtime occurs, it raises concerns about how we measure and receive alerts, as everything needs to be in place.
Splunk Observability Cloud is very stable.
It is highly scalable because it can handle approximately up to one hundred applications at a time without any lapse or lag.
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.
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.
I can confidently say our availability improved by forty percent, and downtime was reduced by approximately seventy to eighty percent.
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 | Mindshare (%) |
|---|---|
| Prometheus-AI Platform | 2.5% |
| IBM Maximo Application Suite | 12.6% |
| Infor CloudSuite | 6.8% |
| Other | 78.1% |
| Product | Mindshare (%) |
|---|---|
| Splunk Observability Cloud | 2.6% |
| Splunk AppDynamics | 5.0% |
| Dynatrace | 4.9% |
| Other | 87.5% |
| Company Size | Count |
|---|---|
| Small Business | 15 |
| Midsize Enterprise | 8 |
| Large Enterprise | 13 |
| Company Size | Count |
|---|---|
| Small Business | 38 |
| Midsize Enterprise | 9 |
| Large Enterprise | 70 |
Prometheus-AI Platform offers dynamic metrics collection, robust scalability, and diverse integrations, enabling seamless real-time tracking and improved performance insights for infrastructure and applications across data centers and cloud platforms.
Prometheus-AI Platform is designed for comprehensive monitoring and metrics collection across environments, optimized for use in cloud platforms like Amazon and Azure. Its seamless Grafana integration facilitates visual representation, making it a go-to choice for managing infrastructure, applications, and Kubernetes clusters. The platform supports programming in many languages, ensuring fast data storage and customizable options. While offering remote write capabilities, high availability, and lightweight configuration, companies benefit from its exporter comprehensiveness and error handling to analyze and improve system performance.
What are the key features of Prometheus-AI Platform?Prometheus-AI Platform is implemented across industries to monitor and manage extensive IT infrastructure efficiently. Organizations utilize it to oversee cloud solutions and on-premises setups, ensuring optimal application and system performance. Industries leverage its capabilities to track CPU and memory usage, ensuring reliable service delivery and quick anomaly alerts to streamline processes and improve operational productivity.
Splunk Observability Cloud provides advanced real-time monitoring and AI-powered insights, streamlining operations and reducing downtime across diverse computing environments.
Offering powerful tools for real-time monitoring, Splunk Observability Cloud enhances performance visibility and operational resilience through AI insights and comprehensive dashboards. With No-Sample Tracing and customizable alerts, it allows quick issue detection and resolution. Its user-friendly interface and seamless integration facilitate troubleshooting and decision-making. The platform's unified infrastructure is equipped for environments like Kubernetes, ensuring stability and efficiency. Users report reduced downtime and increased transparency.
What are the key features of Splunk Observability Cloud?Splunk Observability Cloud is widely used for monitoring cloud infrastructures and microservices, optimizing AI applications, and enhancing application performance. It's integral in environments requiring real-time alerts, anomaly detection, and multi-cloud management, supporting use cases like infrastructure and application performance monitoring. Users leverage its capabilities for end-to-end visibility, focusing on metrics, logs, and traces for rapid problem-solving and performance assessment.
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