Splunk Observability Cloud and Sumo Logic Observability are competing products in the observability space. Our data suggests that Splunk has the upper hand in terms of flexibility and scalability, while Sumo Logic is preferred for its comprehensive features and cost-effectiveness.
Features: Splunk Observability Cloud provides real-time monitoring, AI-driven insights, and extensive integration capabilities with diverse data sources. It excels in anomaly detection and facilitates the creation of custom dashboards for detailed analysis. Sumo Logic Observability is noted for its powerful log management, offering strong security analytics, compliance features, and easy custom field creation, which aids in comprehensive diagnostics. These features make it user-friendly, even though it has a steeper learning curve.
Room for Improvement: Splunk Observability Cloud could improve by further streamlining its AI-driven insights for more accessible usability and integration across various platforms, as well as reducing setup costs. Sumo Logic Observability may benefit from enhancing its learning resources to lower the learning curve and interactivity for new users, expanding its real-time capabilities, and offering more out-of-the-box configurations to ease setup.
Ease of Deployment and Customer Service: Splunk Observability Cloud is known for its seamless cloud-native deployment and efficient customer support, reducing setup complexities. Sumo Logic Observability, while slightly more complex to deploy, provides robust troubleshooting services and detailed onboarding assistance that help users become proficient, offering stronger guidance and support.
Pricing and ROI: Splunk Observability Cloud tends to have a higher setup cost that aligns with its advanced capabilities, promising a significant ROI over time. Sumo Logic Observability offers a more cost-effective initial setup, delivering notable ROI due to its price point. Splunk is favored for its enhanced capabilities at a higher cost, while Sumo Logic balances affordability with efficiency.
Anyone working in front-end management should recognize the market price to see the true value of end-user monitoring.
Using Splunk has saved my organization about 30% of our budget compared to using multiple different monitoring products.
Support from Splunk is not very helpful because Splunk doesn't have a dedicated APM; they only have one APM engineer in Korea.
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.
We've used the solution across more than 250 people, including engineers.
I would rate its scalability a nine out of ten.
The issue is mainly about pricing because if they want to monitor more, it costs money.
I would rate its stability a nine out of ten.
Unlike NetScout or regular agents for APM, RUM has many problems during the POC phase because customer environments vary widely.
We rarely have problems accessing the dashboard or the page.
Customers sometimes need to create specific dashboards, particularly for applicative metrics such as Java and process terms.
Improvements in dashboard configuration, customization, and artificial intelligence functionalities are desired.
There is room for improvement in the alerting system, which is complicated and has less documentation available.
Splunk is a bit expensive since it charges based on the indexing rate of data.
Splunk Observability Cloud is expensive.
It appears to be expensive compared to competitors.
Saving time with automation can save us weeks. It's improving our resilience.
Splunk provides advanced notifications of roadblocks in the application, which helps us to improve and avoid impacts during high-volume days.
It offers unified visibility for logs, metrics, and traces.
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.
Sumo Logic Observability is widely used for log aggregation, analysis, and SIEM capabilities. It assists in monitoring data, creating dashboards, and managing log storage.
Sumo Logic Observability helps teams with logging in production, debugging with trace IDs, and performing queries across large datasets. Developers leverage centralized logs for error detection and tracking metrics like successful transactions and data volume. Security teams integrate it with SOAR systems for automation and enhanced security investigations.
What are the key features?Industries like finance, healthcare, and technology implement Sumo Logic Observability to monitor sensitive data, manage high transaction volumes, and ensure compliance with regulatory standards. Security and development teams benefit from its robust capabilities, enabling effective collaboration and streamlined operations.
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