Grafana and Sumo Logic Observability are two leading solutions in the observability space. Both products have unique strengths, with Grafana being lauded for its customization and open-source flexibility, while Sumo Logic is favored for advanced analytics and cloud integration.
Features: Grafana provides extensive customization, strong data visualization across various sources, and open-source flexibility. Sumo Logic offers advanced analytics, machine learning capabilities, and integrated threat detection, providing a comprehensive feature set beneficial for large-scale environments.
Room for Improvement: Grafana could benefit from enhanced alerting, better cloud integration, and improved customer support. Sumo Logic users desire more intuitive setup, better documentation, and smoother usability for beginners.
Ease of Deployment and Customer Service: Grafana is straightforward to deploy, especially in on-premises environments, though it could improve in customer support. Sumo Logic provides scalable cloud-centric deployment with generally satisfactory customer service.
Pricing and ROI: Grafana is cost-effective due to its open-source nature, offering strong ROI. Sumo Logic has a higher initial cost but is valued for its advanced features and efficiency improvements, justifying the investment.
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 very rarely get in touch with technical support as we don't have that option.
I do not use Grafana's support for technical issues because I have found solutions on Stack Overflow and ChatGPT helps me as well.
In assessing Grafana's scalability, we started noticing logs missing or metrics not syncing in time.
In terms of our company, the infrastructure is using two availability zones in AWS.
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.
The product has been stable.
I would give it a ten if it were much simpler for users who just want to get a simple objective in Grafana and are not experienced with technical configuration.
Regarding the clarity of the official documentation for installation, I think the official documentation, which has something called Alloy, the Alloy integration, is not that clear.
It would be better if they made the technology easy to use without needing to read extensive documentation.
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.
Users can monitor metrics with greater ease, and the tool aids in quickly identifying issues by providing a visual representation of data.
We can find information with Grafana much more quickly compared to DataDog because it was open source and there was extensive documentation about it, enabling us to fetch data or information much more quickly using AI tools.
The feature that sets Grafana apart from its competitors is how easy it is to set up data sources.
Product | Market Share (%) |
---|---|
Grafana | 5.2% |
Sumo Logic Observability | 0.4% |
Other | 94.4% |
Company Size | Count |
---|---|
Small Business | 13 |
Midsize Enterprise | 8 |
Large Enterprise | 24 |
Grafana is an open-source visualization and analytics platform that stands out in the field of monitoring solutions. Grafana is widely recognized for its powerful, easy-to-set-up dashboards and visualizations. Grafana supports integration with a wide array of data sources and tools, including Prometheus, InfluxDB, MySQL, Splunk, and Elasticsearch, enhancing its versatility. Grafana has open-source and cloud options; the open-source version is a good choice for organizations with the resources to manage their infrastructure and want more control over their deployment. The cloud service is a good choice if you want a fully managed solution that is easy to start with and scale.
A key strength of Grafana lies in its ability to explore, visualize, query, and alert on the collected data through operational dashboards. These dashboards are highly customizable and visually appealing, making them a valuable asset for data analysis, performance tracking, trend spotting, and detecting irregularities.
Grafana provides both an open-source solution with an active community and Grafana Cloud, a fully managed and composable observability offering that packages together metrics, logs, and traces with Grafana. The open-source version is licensed under the Affero General Public License version 3.0 (AGPLv3), being free and unlimited. Grafana Cloud and Grafana Enterprise are available for more advanced needs, catering to a wider range of organizational requirements. Grafana offers options for self-managed backend systems or fully managed services via Grafana Cloud. Grafana Cloud extends observability with a wide range of solutions for infrastructure monitoring, IRM, load testing, Kubernetes monitoring, continuous profiling, frontend observability, and more.
The Grafana users we interviewed generally appreciate Grafana's ability to connect with various data sources, its straightforward usability, and its integration capabilities, especially in developer-oriented environments. The platform is noted for its practical alert configurations, ticketing backend integration, and as a powerful tool for developing dashboards. However, some users find a learning curve in the initial setup and mention the need for time investment to customize and leverage Grafana effectively. There are also calls for clearer documentation and simplification of notification alert templates.
In summary, Grafana is a comprehensive solution for data visualization and monitoring, widely used across industries for its versatility, ease of use, and extensive integration options. It suits organizations seeking a customizable and scalable platform for visualizing time-series data from diverse sources. However, users should be prepared for some complexity in setup and customization and may need to invest time in learning and tailoring the system to their specific needs.
Sumo Logic Observability offers advanced monitoring solutions with features like integrated dashboards and querying capabilities, though presents a learning curve compared to alternatives. Designed for efficient log aggregation and analysis, it provides near-real-time updates facilitating improved incident resolution.
Sumo Logic Observability stands out with its ability to unify teams through a single platform, offering features that include customizable dashboards and valuable apps. It provides powerful log tracing and centralized management, designed for organizations focused on log aggregation, analysis, and expanding SIEM capabilities. While it has a steeper learning curve compared to some competitors, it excels in tailored integrations that enhance log searches. Users find themselves able to monitor, automate, and centralize log repositories for effective debugging. Despite its strengths, improvements in data enrichment and documentation organization are needed as current query functions can be slow, impacting efficiency. Users have also mentioned needing pre-built dashboards and better tab management for enhanced functionality. Cost management remains a notable consideration for users evaluating Sumo Logic Observability.
What features make Sumo Logic Observability effective?Sumo Logic Observability is implemented across industries predominantly for managing and analyzing extensive data sets, offering capabilities critical for SIEM activities and security examinations. By facilitating quick data visualization and transaction tracking, organizations in sectors such as finance, healthcare, and technology benefit from its robust framework to support infrastructure logging and large-scale data management, contributing to effective monitoring and system operations.
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