Splunk Observability Cloud and Cribl compete in the observability and data management category. Splunk has the upper hand in offering feature-rich solutions, while Cribl focuses on cost-effective, streamlined data management.
Features: Splunk Observability Cloud provides robust log searching, data integration, and customizable dashboards for detailed application performance troubleshooting. It boasts real-time visibility across hybrid environments and a comprehensive service map. Cribl excels in data transformation, offering efficient log data management and real-time processing capabilities. Its strength lies in flexible data handling across multiple data sources.
Room for Improvement: Splunk could benefit from simplifying its complex and costly model, improving automated processes, microservices scaling, and better database connectors. There's also a need for more intuitive log navigation. Cribl would improve with better integration into existing systems and more intuitive documentation. Enhancing its version management and real-time data handling could prevent data loss.
Ease of Deployment and Customer Service: Splunk offers extensive deployment options, including on-premises, public, and hybrid clouds, although technical support feedback varies, sometimes described as slow. Cribl primarily supports on-premises and hybrid models, and is noted for responsive and effective support, although some users prefer internal expertise.
Pricing and ROI: Splunk's high licensing fees make it expensive, especially in data-heavy environments, but users report operational efficiency ROI. Cribl, while not the cheapest, is seen as more cost-effective with savings in licensing and operations, offering good value for scalable data management.
Using Splunk has saved my organization about 30% of our budget compared to using multiple different monitoring products.
Anyone working in front-end management should recognize the market price to see the true value of end-user monitoring.
The community, including the engineering and sales teams, is available on Slack and is very supportive.
Problem resolution typically takes between two and five days, which isn't very helpful.
Support from Splunk is not very helpful because Splunk doesn't have a dedicated APM; they only have one APM engineer in Korea.
There is some delay in their in-depth responses.
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.
Unlike NetScout or regular agents for APM, RUM has many problems during the POC phase because customer environments vary widely.
I would rate its stability a nine out of ten.
We rarely have problems accessing the dashboard or the page.
Perhaps more flexibility in terms of metrics would be helpful.
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.
Improvements in dashboard configuration, customization, and artificial intelligence functionalities are desired.
Splunk is a bit expensive since it charges based on the indexing rate of data.
It appears to be expensive compared to competitors.
Splunk Observability Cloud is expensive.
The community on Slack is excellent for solving questions and getting ideas.
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.
Cribl optimizes log collection, data processing, and migration to Splunk Cloud, ensuring efficient data ingestion and management for improved operational efficiency.
Cribl offers seamless log collection directly from cloud sources, allowing users to visually extract necessary data and replay specific events for in-depth analysis. It provides robust management of events, parsing, and enrichment of data, along with effective log size reduction. Cribl is particularly beneficial for migrating enterprise logs, optimizing usage, and reducing costs while streamlining the transition between different log management tools.
What are Cribl's most important features?
What benefits and ROI should users look for?
Cribl is widely implemented in industries requiring extensive data management, such as technology and finance. Users leverage Cribl to handle log collection, processing, and migration efficiently, ensuring smooth operation and effective data analysis. It aids in managing temporary data storage during downtimes and better handling historical data, preventing data loss and allowing extended periods for viewing statistics and monitoring trends.
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.
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