

Dynatrace and Cribl compete in the monitoring and data handling space, with Dynatrace focusing on application performance monitoring and Cribl on efficient data routing. Although both have unique strengths, Dynatrace's comprehensive features give it a slight edge in application performance sector.
Features: Dynatrace offers flexibility and dynamic reporting capabilities. It has very good support, easy setup, and minimal administration needs. Crucial features include PurePath and PureStack technologies, UEM technology, and seamless monitoring of transactions. Cribl provides robust real-time log processing, data routing, and transformation capabilities. Cribl also offers customized data workflows and flexibility in handling extensive logging requirements.
Room for Improvement: Dynatrace needs to address pricing and licensing complexity, as users seek clearer structures and flexible models. Improvement is needed in cloud integrations and infrastructure coverage. Cribl could enhance logging and documentation capabilities and strengthen cloud and hybrid support to maintain competitiveness and ease of use for its configurations.
Ease of Deployment and Customer Service: Dynatrace is versatile with deployment, supporting both on-premises and cloud environments. However, some complexity in setup exists. Customer service is generally positive but can vary in response times. Cribl offers a smooth deployment process and supports diverse environments. Its customer support is well-regarded but could benefit from more educational resources to maximize deployment value.
Pricing and ROI: Dynatrace is recognized as expensive, justified by its feature-rich offerings, often leading to positive ROI by tool consolidation and reduced downtime. Understanding its licensing model is challenging. Cribl usually presents a more cost-effective alternative, particularly against competitors like Splunk, with good scalability and efficiency, ideal for managing extensive data volumes. Strategic differences play a role, as Dynatrace excels in comprehensive monitoring, while Cribl emphasizes cost-effective data routing and transformation.
What we've seen is really an overall reduction of just shy of 40% in our ingest into our SIM platform versus prior to having Cribl.
The second thing is that data aggregation, sampling, and reduction that we're able to do of the data, lowering our overall data volume, both traversing the network as well as what's being stored inside of our final solutions.
In terms of reduction, we were able to save almost ~40% of our total cost.
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.
They had extensive expertise with the product and were able to facilitate everything we needed.
Usually, within an hour, we get a response, and we are able to work with them back and forth until we resolve the issues.
If they could enhance their internal logging, we won't require Cribl support to engage.
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.
The infrastructure behind Cribl Search is also scalable as it uses a CPU and just spawns horizontally more instances as it demands and requires.
Compared to other SIEM tools I use, any slight change on the operating system end impacts a lot on our SIEM tools and other things, but Cribl performs well in that regard.
It's an enterprise version, and we have a good amount of users using this solution.
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.
Migrating from those SC4S servers to Cribl worker nodes has truly been a game-changer.
I would rate the stability as ten out of ten.
If the pipeline is down and we receive an alert that it's not sending information to the log collection platform for more than one or two hours, if we receive an alert, it would be great.
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.
A more stringent role-based access control feature would enhance security and allow granular control over what users can see and access.
If we can have more internal logs and more debug logs to validate the error, that would be beneficial because instead of reaching out to Cribl support, we can troubleshoot and find the root cause ourselves.
In terms of large datasets—whether they originated from network inputs, virtual machines, or cloud instances—ingesting the data into the destination was relatively easy.
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.
I'm specifically looking at AIOps and how we can monitor AIOps-related things, considering we have LLMs and all that stuff.
They have been the pioneers from inception, and they remain at the top of the Gartner chart.
Over time, the licensing cost has increased.
Cribl is very inexpensive, with enterprise pricing around 30 cents per GB, which is really decent.
They have a universal license that allows us to consume the portions of Cribl that we want to use or flex into other portions of Cribl.
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 data reduction and preprocessing capabilities make Cribl really unique.
Cribl has a feature called JSON Unroll or Unroll function that allows you to differentiate the events; each event will come ingested as a single log instead of piling it up with multiple events.
The Cribl UI is very simple and easy to use, particularly when working with data from various sources; it makes it very easy to create pipelines, add complex logic to those pipelines, and then gives you a preview of what your data looks like before applying that pipeline and what you get after.
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.
| Product | Market Share (%) |
|---|---|
| Dynatrace | 7.4% |
| Cribl | 1.1% |
| Other | 91.5% |


| Company Size | Count |
|---|---|
| Small Business | 9 |
| Midsize Enterprise | 5 |
| Large Enterprise | 17 |
| Company Size | Count |
|---|---|
| Small Business | 78 |
| Midsize Enterprise | 50 |
| Large Enterprise | 297 |
Cribl offers advanced data transformation and routing with features such as data reduction, plugin configurations, and log collection within a user-friendly framework supporting various deployments, significantly reducing data volumes and costs.
Cribl is designed to streamline data management, offering real-time data transformation and efficient log management. It supports seamless SIEM migration, enabling organizations to optimize costs associated with platforms like Splunk through data trimming. The capability to handle multiple data destinations and compression eases log control. With flexibility across on-prem, cloud, or hybrid environments, Cribl provides an adaptable interface that facilitates quick data model replication. While it significantly reduces data volumes, enhancing overall efficiency, there are areas for improvement, including compatibility with legacy systems and integration with enterprise products. Organizations can enhance their operational capabilities through certification opportunities and explore added functionalities tailored towards specific industry needs.
What are Cribl's most important features?Cribl sees extensive use in industries prioritizing efficient data management and cost optimization. Organizations leverage its capabilities to connect between different data sources, including cloud environments, improving both data handling and storage efficiency. Its customization options appeal to firms needing specific industry compliance and operational enhancements.
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."
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