Elastic Observability and Prometheus compete in the field of observability and monitoring solutions. Elastic Observability is regarded as a more comprehensive solution due to its extensive feature set, which includes sophisticated machine learning capabilities.
Features: Elastic Observability is recognized for its wide range of features, including advanced machine learning capabilities, ease of deployment, and strong integration with other tools like Kibana. Its open-source nature makes it highly adaptable. Prometheus, also open-source, is noted for robust metrics collection, a flexible deployment model, and strong integration options, though it lacks significant visualization capabilities.
Room for Improvement: Elastic Observability faces criticism for its licensing model, the complexity of visualization aspects, and a need for better predictive analytics. More automated infrastructure monitoring would also enhance its offerings. On the other hand, Prometheus suffers from a complex query language and limited out-of-the-box visualization and security monitoring features, which can be challenging for new users unfamiliar with its system.
Ease of Deployment and Customer Service: Elastic Observability supports deployment in on-premises, cloud, and hybrid environments, offering strong technical customer support with quick response times. Meanwhile, Prometheus also supports various environments, but its reliance on community forums for support can result in challenges for users not deeply familiar with its query language.
Pricing and ROI: Elastic Observability, despite being cheaper than some alternatives such as Dynatrace, is costly for small-scale users due to licensing fees but provides ROI through efficiency improvements. Being free and open-source, Prometheus offers cost-effective solutions, making it a viable option for organizations seeking flexibility and deployments across platforms, though some additional costs may arise when used on certain infrastructures like AWS.
Using open-source Prometheus saves me money compared to AWS native services.
Prometheus does not offer traditional technical support.
Elastic Observability seems to have a good scale-out capability.
What is not scalable for us is not on Elastic's side.
Prometheus is scalable, with a rating of ten out of ten.
It is very stable, and I would rate it ten out of ten based on my interaction with it.
Elastic Observability is really stable.
Deploying it on multiple instances or using Kubernetes for automatic management has enhanced its stability.
It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.
One example is the inability to monitor very old databases with the newest version.
Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal.
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
The license is reasonably priced, however, the VMs where we host the solution are extremely expensive, making the overall cost in the public cloud high.
Prometheus is cost-effective for me as it is free.
The most valuable feature is the integrated platform that allows customers to start from observability and expand into other areas like security, EDR solutions, etc.
the most valued feature of Elastic is its log analytics capabilities.
All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important.
It allows me to save money by avoiding costs associated with AWS native services like CloudWatch or Amazon Prometheus.
Elastic Observability is primarily used for monitoring login events, application performance, and infrastructure, supporting significant data volumes through features like log aggregation, centralized logging, and system metric analysis.
Elastic Observability employs Elastic APM for performance and latency analysis, significantly aiding business KPIs and technical stability. It is popular among users for system and server monitoring, capacity planning, cyber security, and managing data pipelines. With the integration of Kibana, it offers robust visualization, reporting, and incident response capabilities through rapid log searches while supporting machine learning and hybrid cloud environments.
What are Elastic Observability's key features?Companies in technology, finance, healthcare, and other industries implement Elastic Observability for tailored monitoring solutions. They find its integration with existing systems useful for maintaining operation efficiency and security, particularly valuing the visualization capabilities through Kibana to monitor KPIs and improve incident response times.
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.
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