Splunk Observability Cloud and Prometheus Group compete in the comprehensive monitoring solutions category. Splunk seems to have the upper hand with its user-friendly visualization and advanced log analysis features, whereas Prometheus stands out for its open-source flexibility and strong metrics collection capabilities.
Features: Splunk delivers adaptable dashboards, rapid search indexing, and robust application performance monitoring. Prometheus excels in open-source flexibility, strong metrics collection, and extensive integrations with Kubernetes.
Room for Improvement: Splunk could improve by addressing high pricing, complex setup, and better integration with external systems. Prometheus faces challenges with its complex query language, limited security features, and lack of native cloud integration. Enhancements in UI and alerting would be beneficial.
Ease of Deployment and Customer Service: Splunk offers deployment options both on-premises and in the cloud, with generally positive customer service but room for improved response times. Prometheus benefits from strong community support but can be challenging to configure without advanced technical knowledge.
Pricing and ROI: Splunk’s high pricing tied to data volume can deter users, but those investing often see a positive ROI through operational efficiency. Prometheus, as a free open-source tool, offers a cost-effective solution, though users might incur extra costs related to infrastructure and setup.
Using open-source Prometheus saves me money compared to AWS native services.
Prometheus does not offer traditional technical support.
They often require multiple questions, with five or six emails to get a response.
If any issues arise, we can raise a vendor case, and resolutions are provided in a timely and accurate manner.
They did not have a clear answer.
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 an eight out of ten.
Deploying it on multiple instances or using Kubernetes for automatic management has enhanced its stability.
We rarely have problems accessing the dashboard or the page.
I would rate its stability a nine out of ten.
There is room for improvement in the alerting system, which is complicated and has less documentation available.
Customers sometimes need to create specific dashboards, particularly for applicative metrics such as Java and process terms.
It would be beneficial if server details could be retrieved directly in synthetic monitoring.
Prometheus is cost-effective for me as it is free.
Splunk Observability Cloud is expensive.
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.
It offers unified visibility for logs, metrics, and traces.
Saving time with automation can save us weeks. It's improving our resilience.
Unlike other APMs, Splunk's service map is quite effective.
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 combines log search, data integration, and dashboards for seamless monitoring, enhancing infrastructure visibility and security. Its cloud integration and scalability support diverse environments, improving operational efficiency.
Splunk Observability Cloud offers comprehensive monitoring tools with user-friendly interfaces, enabling end-to-end infrastructure visibility. Its real-time alerting and predictive capabilities enhance security monitoring, while centralized dashboards provide cross-platform visibility. Users benefit from fast data integration and extensive insights into application performance. Despite its advantages, improvements could be made in integration with other tools, data reliability, scalability, and cost management. Users face challenges in configuration complexity and require better automation and endpoint protection features. Enhancing AI integration, alerts, and adaptation for high-throughput services could further improve usability.
What are the key features of Splunk Observability Cloud?In industries like finance and healthcare, Splunk Observability Cloud is implemented for application performance monitoring and infrastructure metrics. Its ability to track incidents and analyze machine data benefits network infrastructure, while distributed tracing and log analysis aid in tackling security threats. Organizations often integrate it for compliance and auditing purposes, enhancing visibility into network traffic and optimizing performance.
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