Splunk Observability Cloud and Sentry compete in the observability and monitoring space. Splunk Observability Cloud seems to have the upper hand with its extensive capabilities in managing high data volumes and offering scalable features, beneficial for enterprise settings.
Features: Splunk Observability Cloud offers comprehensive monitoring capabilities with customized dashboards, real-time metrics, and robust data integration. It supports extensive insights for managing higher data volumes. Splunk is beneficial for business resilience due to its scalable and enterprise-friendly features. Sentry provides real-time error tracking and performance monitoring with strong integration capabilities with platforms like Slack and GitLab. Users find its error management easy for identifying root causes, making it a straightforward choice for application's ETL pipelines.
Room for Improvement: Splunk Observability Cloud needs enhanced pricing transparency, better integration capabilities, and improvements in log management and search performance. Enhancements in user navigation and alerting systems are required. Concerns about pricing and AI feature completeness were noted. Sentry could improve its user interface, integration for automated issue creation, and tracing capabilities. Additional customization features and improved alerts could make it a more comprehensive solution.
Ease of Deployment and Customer Service: Splunk Observability Cloud supports various deployment models like on-premises, public cloud, and hybrid cloud, showing adaptability to different business environments. Customer support is generally responsive with mixed feedback on speed and thoroughness. Sentry is primarily cloud-based and provides sufficient support, but improved documentation and integration assistance are noted as necessary improvements.
Pricing and ROI: Splunk Observability Cloud is considered expensive but justified by its extensive features and market position, promising ROI through improved operational efficiencies and reduced downtime. There's a demand for more flexible pricing options, especially for mid-sized enterprises. Sentry, viewed as more affordable, offers essential monitoring features at lower cost and customizable plans suited to varying usage needs with competitive pricing.
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.
I have definitely seen a return on investment with Splunk Observability Cloud, particularly through how fast it has grown and how comfortable other teams are in relying on its outputs for monitoring and observability.
We have not contacted their technical support because everything is easy to set up under Sentry.
On a scale of 1 to 10, the customer service and technical support deserve a 10.
They have consistently helped us resolve any issues we've encountered.
They often require multiple questions, with five or six emails to get a response.
It has been easy to use and configure across multiple systems, each having several environments.
We've used the solution across more than 250 people, including engineers.
As we are a growing company transitioning all our applications to the cloud, and with the increasing number of cloud-native applications, Splunk Observability Cloud will help us achieve digital resiliency and reduce our mean time to resolution.
I would rate its scalability a nine out of ten.
When downtime occurs, it raises concerns about how we measure and receive alerts, as everything needs to be in place.
I would rate its stability a nine out of ten.
We rarely have problems accessing the dashboard or the page.
Integrations or single sign-on capability with Microsoft would be beneficial for securing all assets.
The out-of-the-box customizable dashboards in Splunk Observability Cloud are very effective in showcasing IT performance to business leaders.
The next release of Splunk Observability Cloud should include a feature that makes it so that when looking at charts and dashboards, and also looking at one environment regardless of the product feature that you're in, APM, infrastructure, RUM, the environment that is chosen in the first location when you sign into Splunk Observability Cloud needs to stay persistent all the way through.
There should be a solution to update OTeL agents from Splunk Observability Cloud itself.
Compared to New Relic, it provides the necessary features at a cheaper cost, especially since we moved infrastructure monitoring to Azure.
Splunk is a bit expensive since it charges based on the indexing rate of data.
It is expensive, especially when there are other vendors that offer something similar for much cheaper.
I can confidently say our availability improved by forty percent, and downtime was reduced by approximately seventy to eighty percent.
Real-time error tracking helps our Quality Assurance team easily identify the root causes of problems or bugs and promptly inform the developers about specific issues.
At this time, I focus on finding and fixing bugs.
Sentry provides real-time error tracking which is invaluable for identifying and resolving issues quickly.
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.
| Product | Mindshare (%) |
|---|---|
| Splunk Observability Cloud | 2.3% |
| Sentry | 2.1% |
| Other | 95.6% |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 3 |
| Large Enterprise | 3 |
| Company Size | Count |
|---|---|
| Small Business | 30 |
| Midsize Enterprise | 10 |
| Large Enterprise | 53 |
Sentry is a robust error management system known for real-time error tracking and integration with tools like Slack, GitLab, and Jira, benefiting those seeking comprehensive application performance insights.
Sentry offers a seamless platform to monitor errors in both front-end and back-end applications, providing real-time alerts and comprehensive event log context. With its integration capabilities, teams effectively track application metrics and access performance data without direct production access, ensuring enhanced reliability. Sentry's features such as event grouping and code trace logs linked to Git repositories highlight its utility in maintaining application efficiency. Enhanced security and regular updates make it a preferred choice over competitors. Despite some requests for improvements in automation and UI enhancements, Sentry remains invaluable for error management and application performance monitoring.
What are the key features of Sentry?In industries like technology, Sentry is crucial for monitoring errors in web applications, offering real-time alerts and performance tracking. It is frequently used in ETL processes to detect failures without direct developer access, benefiting teams who manage large-scale applications and databases efficiently.
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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