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Data Hub vs Dynatrace comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Data Hub
Ranking in AI Observability
12th
Average Rating
9.4
Reviews Sentiment
2.2
Number of Reviews
3
Ranking in other categories
Metadata Management (7th)
Dynatrace
Ranking in AI Observability
3rd
Average Rating
8.8
Reviews Sentiment
7.0
Number of Reviews
358
Ranking in other categories
Application Performance Monitoring (APM) and Observability (2nd), Log Management (6th), Mobile APM (2nd), Container Monitoring (1st), AIOps (2nd)
 

Featured Reviews

reviewer2784462 - PeerSpot reviewer
Software Engineer at a tech vendor with 10,001+ employees
Centralized metadata has empowered governed data discovery and clarified ownership for all teams
The impact is very positive, and there are many benefits for us using Data Hub because it was easier to make data governance, create centralized metadata management, improve data discoverability, and manage data in general. The areas for improvement, in my opinion, are the initial setup and configuration that can be complex without prior experience, especially in large-scale environments. User experience for non-technical users could be further simplified, particularly around advanced metadata concepts. The out-of-the-box governance workflow, for example, approvals and certification, could be more prescriptive for customers at early maturity stages. Data Hub can be improved in the initial setup and configuration that is somewhat complex, and also in operational monitoring that could benefit from more native dashboards and alerts. However, these are not blockers, but areas where additional guidance or product enhancement would further accelerate adoption.
Manish Indupuri - PeerSpot reviewer
senior DevOps engineer at a tech services company with 10,001+ employees
AI-driven insights have reduced downtime and improved cross-team collaboration
We encountered some challenges while using Dynatrace. Although the initial setup was smooth, fine-tuning alert thresholds and custom metrics took some time. Another challenge was that Dynatrace charges based on host units, so we had to carefully plan our agent deployments. The licensing model is expensive. Additionally, the complexity of setup is an issue. While OneAgent and auto-discover services are powerful, the setup is more complex compared to other tools such as Prometheus and Grafana. These integrations are simple and basic, but Dynatrace setup requires more complexity based on the environment. For new users wanting to use Dynatrace, it is difficult. However, the AI-related solutions and metrics took us to the next level for identifying and fixing things. Dynatrace requires an agent for operation. OneAgent is powerful, but it is also resource-heavy. On lightweight nodes or older systems, the agent can slightly impact performance. If Dynatrace could implement a lightweight agent behavior, we could make things faster. Additionally, if Dynatrace could add a long-term retention policy so that we could store more data and find fine-grained details, that would help us. While Dynatrace managed edition supports on-premises deployment, the SaaS version depends on cloud connectivity. For highly regulated or air-gapped environments, setup and updates can be challenging. Although the initial setup is smooth, if someone wants to fine-tune it and fully understand the tool end-to-end, it could be tricky.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Data Hub proved to be a robust, scalable, enterprise-ready data catalog that is well-suited for AWS-based architecture and complex organizational environments."
"The ability to take each individual request and dive in to inspect what methods and calls are being made is extremely helpful."
"It has helped us improve the performance of many of our applications."
"The PurePath stuff for deep dive analysis on problems. That is massive as far as having a benefit."
"Dynatrace has designed its agents to capture limited stack traces for each transaction executed."
"We are using Dynatrace for prediction and staging for every step of our development cycle."
"We can see which step in a transaction is causing latency, right down to the particular Java class"
"We have been using it to find bugs in our production environment."
"The main benefit of Dynatrace is that it's easy to understand where exactly the issue is; when you see the PurePath, you know which particular machine or hop the application is having an issue with, allowing us to easily drill down to what is happening with the application."
 

Cons

"The areas for improvement, in my opinion, are the initial setup and configuration that can be complex without prior experience, especially in large-scale environments."
"The flexibility when it comes to integrating with other tools is very low."
"A role-based view and a Python monitoring tool would make a simple user interface more usable."
"JIRA integration should be enriched and more granular."
"I would like to see Dynatrace be more user-friendly. Sometimes there are too many options to use from, which is good, but it can become confusing on how to proceed."
"There is still a certain amount of technical skills needed to be able to understand what you are seeing on it. You also need a large amount of technical or infrastructure skills to understand how and where to install it."
"Infrastructure monitoring could be improved."
"We found it was quite challenging in terms of the learning curve."
"In the next release, I'd like to see more portables included regarding the screens."
 

Pricing and Cost Advice

Information not available
"Everything is great, but the licensing could always be cheaper. With the every growing tool set of Ops teams, we find it harder to budget for tooling while ensuring we still have the proper insight into our applications."
"Our annual costs were about the same for both AppDynamics and Dynatrace."
"Pricing is based on the number of servers monitored, so for big applications, it is a bit expensive."
"I feel the price is good for what the product does."
"Dynatrace's pricing for their consumption units is rather arcane compared to some of the other tools, thus making forward-looking calculations based on capacity planning quite hard."
"The price range is quite high."
"The pricing is not bad, but it could be better."
"As compared to New Relic and other providers, it is more expensive, which is its biggest disadvantage. Its biggest advantage is its capability. It is more feature-rich."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
22%
Manufacturing Company
8%
Computer Software Company
8%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business78
Midsize Enterprise50
Large Enterprise298
 

Questions from the Community

What needs improvement with Data Hub?
The impact is very positive, and there are many benefits for us using Data Hub because it was easier to make data governance, create centralized metadata management, improve data discoverability, a...
What is your primary use case for Data Hub?
We adopted Data Hub in the context of a large enterprise customer operating in a regulated industry with a strong focus on data governance, data discoverability, and ownership clarity across multip...
What advice do you have for others considering Data Hub?
Based on internal measurement and feedback from the data teams, there are many impacts. Time to locate and understand a data set was reduced by approximately 40-50 percent. Manual documentation eff...
Any advice about APM solutions?
The key is to have a holistic view over the complete infrastructure, the ones you have listed are great for APM if you need to monitor applications end to end. I have tested them all and have not f...
What cloud monitoring software did you choose and why?
While the environment does matter in the selection of an APM tool, I prefer to use Dynatrace to manage the entire stack. Both production and Dev/Test. I find it to be quite superior to anything els...
Any advice about APM solutions?
There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...
 

Also Known As

Acryl Data
No data available
 

Overview

 

Sample Customers

Information Not Available
Audi, Best Buy, LinkedIn, CISCO, Intuit, KRONOS, Scottrade, Wells Fargo, ULTA Beauty, Lenovo, Swarovsk, Nike, Whirlpool, American Express
Find out what your peers are saying about Data Hub vs. Dynatrace and other solutions. Updated: December 2025.
881,114 professionals have used our research since 2012.