

Dynatrace and Grafana Loki are both prominent in the observability sector. User feedback suggests that Dynatrace has the upper hand with its robust feature set and performance capabilities, while Grafana Loki is favored for its flexibility and community support.
Features: Dynatrace provides automatic discovery, AI-driven insights, and is highly suitable for large-scale environments. Grafana Loki offers strong log aggregation, seamless integration with other Grafana tools, and is a flexible solution for a variety of environments.
Room for Improvement: Dynatrace needs enhancements in customization options, reduced resource demand, and more flexible deployment options. Grafana Loki users want better documentation, increased support resources, and improved search capabilities.
Ease of Deployment and Customer Service: Dynatrace's deployment is guided but resource-intensive, and it is backed by excellent customer service. In contrast, Grafana Loki is easy to integrate within the Grafana ecosystem, although its customer service responsiveness is an area for improvement.
Pricing and ROI: Dynatrace's pricing is on the higher end, justified by its comprehensive capabilities and high ROI in performance efficiency. Grafana Loki is cost-effective with a free tier, offering budget-conscious returns, although its perceived ROI might be lower compared to Dynatrace.
Using Dynatrace directly improved application uptime and reduced customer impacting incidents.
ROI is hard to specify; however, incidents like impending ransomware attacks highlight its value, though those are exceptional events.
Save money by identifying problems, thereby reducing monetary losses on their application side.
Loki leads to significant cost savings by reducing server downtime and aiding engineers in prompt issue resolution.
They have a good reputation, and the support is commendable.
The technical support from Dynatrace is excellent.
Whenever we faced any issues, we could get timely resolution from their support.
We have not had to open any tickets yet, as we solve issues through forums and wikis.
I usually do not use official support; I typically rely on community blogs and forums for support of Grafana Loki.
If it's an enterprise, increasing the number of instances doesn’t pose problems.
It is a powerful tool and helped us to reduce customer downtime and increase work efficiency.
The scalability of Dynatrace is very significant, especially considering the current improvements in their features.
Loki offers great scalability, allowing us to manage and compress logs extensively.
Generally, all are stable at ninety-nine point nine nine percent, but if the underlying infrastructure is not deployed correctly, stability may be problematic.
There have been no stability issues with Dynatrace.
Dynatrace is a SaaS product with frequent agent management updates.
The definition of enterprise is loosely used, however, from a holistic security perspective, including infrastructure, network, ports, software, applications, transactions, and databases, there are areas lacking, especially in network monitoring tools.
Dynatrace could enhance cost and licensing structures, as the current pricing can be expensive for large-scale deployments.
I'm specifically looking at AIOps and how we can monitor AIOps-related things, considering we have LLMs and all that stuff.
Improvements could be made in the enablement of the product, addressing the complexity of implementing these tools.
It would be beneficial if Loki could directly access Windows Server logs or events directly from the servers.
Dynatrace is known to be costly, which delayed its integration into our system.
If setting up in a large scale environment, it is overwhelming because it is expensive.
The cost can be controlled from our side, and it is very transparent with Dynatrace regarding DPS and licensing.
The cloud version is competitively priced compared to other market solutions.
Since it is an open source tool, there are no charges or fees.
The integration with Power BI for generating detailed reports is a standout feature.
Dynatrace's AI-driven Davis engine absolutely helps identify performance issues by showing root cause analysis for us up to 200%; whatever is integrated, if it is visible, it can stitch and show.
Dynatrace links compute with services and services with code and other components.
It provides a clear picture about the state of the system and gives needed information for taking action and quickly fixing problems.
Grafana Loki is notably cost-effective.
The most valuable part of Loki is the ability to filter logs by keywords and devices.
| Product | Market Share (%) |
|---|---|
| Grafana Loki | 5.6% |
| Dynatrace | 3.9% |
| Other | 90.5% |

| Company Size | Count |
|---|---|
| Small Business | 78 |
| Midsize Enterprise | 50 |
| Large Enterprise | 298 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Midsize Enterprise | 8 |
| Large Enterprise | 4 |
Dynatrace is an AI-powered software intelligence monitoring platform that accelerates digital transformation and simplifies cloud complexities. Dynatrace is an entirely automated full-stack solution that provides data and answers about the performance of your applications and deep insight into every transaction throughout every application, including the end-user experience. By modernizing and automating enterprise cloud operations, users can deliver an optimal digital experience with higher quality software to customers faster.
Dynatrace offers an all-in-one automated artificial intelligence solution that brings together application performance, cloud and infrastructure, and digital experience monitoring. Dynatrace accelerates performance-driven results through operations, development, and business teams with a shared metrics platform. In addition, users are provided a full-stack monitoring experience with three patented technologies:
What does Dynatrace offer?
Dynatrace redefines how organizations monitor their digital ecosystems. The solution offers:
Reviews from Real Users
Dynatrace is the only solution that provides answers to organizations based on deep insight into each user, transaction, and organization's environment.
Barry P., a managing performance engineer at Medica Health Plans, writes, "With Dynatrace, we have synthetic checks and real-user monitoring of all of our websites, places where members and providers can interact with us over the web. We monitor the response times of those with Dynatrace, and it's all integrated into one place."
A consultant at a tech service company notes, "A feature that's one of the highlights of Dynatrace is the AI. The second most valuable feature is OneAgent. Between infrastructures, applications, operating systems, you can deploy with just a single agent and can practically install and forget about it."
Grafana Loki is a powerful log aggregation and analysis tool designed for cloud-native environments. Its primary use case is to collect, store, and search logs efficiently, enabling organizations to gain valuable insights from their log data.
The most valuable functionality of Loki is its ability to scale horizontally, making it suitable for high-volume log data. It achieves this by utilizing a unique indexing approach called "Promtail," which efficiently indexes logs and allows for fast searching and filtering. Loki also supports log streaming in real-time, ensuring that organizations can monitor and analyze logs as they are generated.
By centralizing logs in a single location, Loki simplifies log management and troubleshooting processes. It provides a unified view of logs from various sources, making it easier to identify and resolve issues quickly. With its powerful query language, organizations can extract meaningful information from logs, enabling them to gain insights into system performance, identify anomalies, and detect potential security threats.
Loki's integration with Grafana, a popular open-source visualization tool, allows users to create rich dashboards and visualizations based on log data. This combination enhances the observability of systems and applications, enabling organizations to make data-driven decisions and improve overall operational efficiency.
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