Splunk Observability Cloud and Elastic Observability are prominent competitors in the observability and monitoring space. Splunk Observability Cloud appears to have the upper hand due to its robust application performance monitoring features.
Features: Splunk Observability Cloud excels in comprehensive dashboard capabilities, customization of visualizations, and end-to-end monitoring. Its fast log searching and integration opportunities enhance troubleshooting and application performance. Elastic Observability is recognized for its cost-effective logging platform, strong text search capabilities, and customizable dashboards through Kibana. Its ability to integrate across different sources makes it versatile for organizations in need of a seamless observability solution.
Room for Improvement: Splunk Observability Cloud users point out high costs and complex deployment as major concerns. They seek improved automation and integration with security tools, as well as more intuitive navigation. Elastic Observability users express a need for better APM features, enhanced predictive analytics, a broader range of AI capabilities, and clearer pricing for smaller enterprises.
Ease of Deployment and Customer Service: Splunk Observability Cloud offers various deployment options, including on-premises and cloud solutions. Its technical support is adequate but could improve in terms of speed and cloud feature integration. Elastic Observability has robust hybrid cloud support with simpler on-premises deployment. Its customer service is generally responsive, but more detailed guidance on new features is desired.
Pricing and ROI: Splunk Observability Cloud is seen as expensive due to data volume-based pricing, though it offers high ROI through performance improvements. Elastic Observability is considered more cost-effective with flexible licensing models suitable for large-scale deployments. However, its pricing can still be a concern for smaller enterprises.
Problem resolution typically takes between two and five days, which isn't very helpful.
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.
Elastic Observability seems to have a good scale-out capability.
What is not scalable for us is not on Elastic's side.
We've used the solution across more than 250 people, including engineers.
I would rate its scalability an eight 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.
We rarely have problems accessing the dashboard or the page.
I would rate its stability a nine out of ten.
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.
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.
There is room for improvement in the alerting system, which is complicated and has less documentation available.
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.
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
Splunk Observability Cloud is expensive.
It appears to be expensive compared to competitors.
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 offers unified visibility for logs, metrics, and traces.
For troubleshooting, we can detect problems in seconds, which is particularly helpful for digital teams.
Splunk APM provides a holistic view of the application.
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.
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.
We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
