Dynatrace and Cribl are prominent in application performance monitoring and data routing respectively. Dynatrace takes the upper hand with its comprehensive set of features designed for deep insights and flexibility in performance monitoring.
Features: Dynatrace offers robust application performance monitoring, featuring PurePath technology for detailed transaction monitoring, Synthetic monitoring for end-user simulation, and advanced reporting capabilities. Cribl focuses on data routing and transformation, with key features like real-time data transformation, a user-friendly interface for efficient data management, and capabilities for data reduction to enhance cost efficiency.
Room for Improvement: Dynatrace could improve by better integrating with networking components, simplifying its agent requirements, and enhancing its dashboarding and pricing structure. Cribl can expand its integrations and improve documentation clarity to better support smaller organizations and refine its versioning system.
Ease of Deployment and Customer Service: Both products offer flexible deployment options across on-premises, hybrid, and public cloud environments. Dynatrace provides extensive technical support and a strong community presence, albeit with occasional documentation challenges. Cribl is noted for simpler deployment and cost-effectiveness in enterprise settings, although its support responsiveness could improve.
Pricing and ROI: Dynatrace is known for its higher cost, often justified by its extensive features and significant ROI in large-scale environments, leading to savings in troubleshooting and operational efficiency. Cribl's pricing is more competitive, offering good value with benefits in data management scaling and efficiency when compared to larger enterprise solutions like Splunk.
ROI is hard to specify; however, incidents like impending ransomware attacks highlight its value, though those are exceptional events.
They had extensive expertise with the product and were able to facilitate everything we needed.
The community, including the engineering and sales teams, is available on Slack and is very supportive.
They have a good reputation, and the support is commendable.
The technical support from Dynatrace is excellent.
For Dynatrace tech support, we have a dedicated team here, which is easily reachable.
I don't need to talk to a Cribl engineer to connect a new log source.
Cribl is quite scalable, as we could add worker nodes as our data grows.
It is pretty scalable, just in terms of cost.
If it's an enterprise, increasing the number of instances doesn’t pose problems.
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.
Cribl is quite stable and doesn't crash; there's no unusual behavior.
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.
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.
Perhaps more flexibility in terms of metrics would be helpful.
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.
Cribl is very inexpensive, with enterprise pricing around 30 cents per GB, which is really decent.
Dynatrace is known to be costly, which delayed its integration into our system.
If I would ask you to rate price from 1 to 10, where 1 is cheap and 10 is expensive, how many points would you give to it?
The data reduction and preprocessing capabilities make Cribl really unique.
The community on Slack is excellent for solving questions and getting ideas.
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.
Graduation features offered by Dynatrace provide a single view and can connect with many other monitoring systems.
Product | Market Share (%) |
---|---|
Dynatrace | 8.8% |
Cribl | 1.0% |
Other | 90.2% |
Company Size | Count |
---|---|
Small Business | 8 |
Midsize Enterprise | 4 |
Large Enterprise | 6 |
Company Size | Count |
---|---|
Small Business | 76 |
Midsize Enterprise | 50 |
Large Enterprise | 288 |
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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