

Sentry and Grafana are popular tools for application monitoring. Sentry offers robust error tracking, while Grafana excels with advanced visualization capabilities. Grafana has a slight edge due to its extensive visualization options, which provide more detailed insights.
Features: Sentry is praised for efficient error tracking, seamless integrations, and rapid debugging. Grafana is favored for comprehensive visualization, multi-source data integration, and flexible dashboards.
Room for Improvement: Users suggest Sentry could improve alert customization, documentation clarity, and enhance user experience. For Grafana, areas needing enhancement include simplifying setup, expanding alerting capabilities, and improving user experience.
Ease of Deployment and Customer Service: Sentry users generally find deployment straightforward and appreciate responsive customer support. Grafana's deployment can be more complex, but users value the support available through extensive community forums.
Pricing and ROI: Sentry users find the pricing model reasonable for the value delivered, seeing a quick ROI with faster issue resolution. Grafana's pricing is considered fair for comprehensive monitoring, with significant ROI seen through enhanced data comprehension.
I identified over-provisioned servers and reduced my AWS monthly bill by 15%, which is a significant saving in terms of costs.
The technical support team is very helpful with complex PromQL troubleshooting.
My advice for people who are new to Grafana or considering it is to reach out to the community mainly, as that's the primary benefit of Grafana.
I do not use Grafana's support for technical issues because I have found solutions on Stack Overflow and ChatGPT helps me as well.
We have not contacted their technical support because everything is easy to set up under Sentry.
It is highly scalable and built on a big data architecture capable of ingesting trillions of data points.
In terms of our company, the infrastructure is using two availability zones in AWS.
In assessing Grafana's scalability, we started noticing logs missing or metrics not syncing in time.
It has been easy to use and configure across multiple systems, each having several environments.
When something in their dashboard does not work, because it is open source, I am able to find all the relative combinations that people are having, making it much easier for me to fix.
Once you get to a higher load, you need to re-evaluate your architecture and put that into account.
Even when handling millions of data points, the visualization layer remains responsive.
It would be better if they made the technology easy to use without needing to read extensive documentation.
Grafana cannot be easily embedded into certain applications and offers limited customization options for graphs.
I would want to see improvements, especially in the tracing part, where following different requests between different services could be more powerful.
Integrations or single sign-on capability with Microsoft would be beneficial for securing all assets.
In an enterprise setting, pricing is reasonable, as many customers use it.
The costs associated with using Grafana are somewhere in the ten thousands because we are able to control the logs in a more efficient way to reduce it.
I purchased my Grafana Cloud subscription through the AWS Marketplace, which simplified my procurement process and allowed me to apply the cost towards my AWS committed spend.
Compared to New Relic, it provides the necessary features at a cheaper cost, especially since we moved infrastructure monitoring to Azure.
Users can monitor metrics with greater ease, and the tool aids in quickly identifying issues by providing a visual representation of data.
The fact that I can join data from my SQL database with metrics from Prometheus in the same table is a feature I have not found performed as well elsewhere.
You can check those metrics in the incident management tool by filtering the alert source as Grafana, and it helps in reducing production incidents because you can acknowledge and visualize the metrics from Grafana on time.
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.
| Product | Mindshare (%) |
|---|---|
| Grafana | 2.7% |
| Sentry | 2.1% |
| Other | 95.2% |

| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 10 |
| Large Enterprise | 25 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 3 |
| Large Enterprise | 3 |
Grafana offers a customizable, user-friendly platform for robust data visualization and integration, enhancing real-time monitoring with extensive alerting and collaboration capabilities supported by an active open-source community.
Grafana stands out for its flexible dashboards and robust visualization options, integrating smoothly with tools like Prometheus. This open-source platform supports diverse environments, aiding in the visualization of IT infrastructure and business analytics. Its alerting system efficiently supports real-time monitoring. While it is praised for its community backing and cost-effectiveness, there is demand for better data aggregation, intuitive interfaces, and enhanced documentation compared to competitors such as Splunk. Simplification of configuration and the interface is sought, alongside improvements in machine learning and reporting features.
What are Grafana's most important features?Grafana is implemented widely across industries for monitoring IT infrastructure and visualizing business analytics. Companies utilize it to analyze server performance or monitor Kubernetes environments and payment transactions. The platform integrates with AWS services and other data sources to ensure observability and system health tracking, focusing on performance metrics through customized dashboards and alerts. Organizations employ Grafana to bolster observability and optimize infrastructure through robust data insights.
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.
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