Dynatrace vs Elastic Observability comparison

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Dynatrace Logo
46,602 views|28,133 comparisons
95% willing to recommend
Elastic Logo
12,577 views|10,415 comparisons
90% willing to recommend
Comparison Buyer's Guide
Executive Summary
Updated on Jun 27, 2023

We performed a comparison between Dynatrace and Elastic Observability based on real PeerSpot user reviews in five categories. After reading all of the collected data, you can find our conclusion below.

  • Ease of Deployment: Dynatrace is simple and easy to set up, while Elastic Observability can be more complicated depending on the environment. Dynatrace requires less technical knowledge and configuration, while Elastic Observability may require more due to its distributed nature and multiple cluster configuration. The number of people needed for setup is also different between the two products.
  • Features: Dynatrace has real user monitoring, session replay, and synthetic monitoring functionalities, and a good user interface with AI-based root cause analysis. On the other hand, Elastic Observability provides machine learning and custom development options, and is easy to deploy and flexible.
  • Pricing: Dynatrace's pricing is complex and lacks transparency, making it challenging to determine the appropriate number of units to purchase. They also offer a premium support package for an extra fee. In contrast, Elastic Observability's pricing is variable and dependent on the type of license and usage, with some components included in the license or even open source. However, the cost can increase as usage grows.
  • Service and Support: Customers have differing opinions on Dynatrace's customer service, while Elastic Observability's customer service receives mostly positive reviews. Dynatrace's documentation could use improvement, while Elastic Observability has a helpful online community and great tech support.
  • ROI: Dynatrace offers automation and consolidation. On the other hand, Elastic Observability is cost-effective and offers complete visibility with data compression capabilities, which can help reduce incidents.

Comparison Results: Dynatrace is favored for its comprehensive features, real-user monitoring, session replay, and synthetic monitoring capabilities. It also has a highly praised AI engine for root cause analysis and offers good visibility and thorough scanning of services and applications. 

To learn more, read our detailed Dynatrace vs. Elastic Observability Report (Updated: April 2024).
768,857 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"What I like about it, is how it auto-discovers everything rapidly; within a matter of seconds you get to see the business transaction and how it's mapped within the product itself.""Simplified the way to monitor a medium to big environment.""They have quick answers for scalability.""You don't have to configure it. It just needs to be installed.""Improved visibility on performance and application issues.""In terms of explaining to a customer how their data works, it has been a great tool. Instead of trying to draw it out, then hoping that is exactly where the data goes.""The user experience allows us to be able to gauge customer experience and understand the performance impact of our platform.""The speed and problem resolution."

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"For full stack observability, Elastic is the best tool compared with any other tool .""We can view and connect different sources to the dashboard using it.""The solution allows us to dig deep into data.""Good design and easy to use once implemented.""Machine learning is the most valuable feature of this solution.""The architecture and system's stability are simple.""The solution has been stable in our usage.""The price is very less expensive compared to the other solutions."

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Cons
"Regarding features, it would be good if there would be some features regarding app security.""Provide much better alignment between AppMon and Dynatrace.""They could spend more time and effort in creating brand awareness.""A role-based view and a Python monitoring tool would make a simple user interface more usable.""I think scalability is what we're struggling with. I would say it's okay, but there's a little bit of room for improvement.""We found it was quite challenging in terms of the learning curve.""It is necessary to improve the integration with the product, Oracle Siebel.""I would like to see dashboards included, and maybe more possibilities in terms of customization."

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"The solution would be better if it was capable of more automation, especially in a monitoring capacity or for the response to abnormalities.""Elastic Observability needs to have better standardization, logging, and schema.""The tool's scalability involves a more complex implementation process. It requires careful calculations to determine the number of nodes needed, the specifications of each node, and the configuration of hot, warm, and cold zones for data storage. Additionally, managing log retention policies adds further complexity. The solution's pricing also needs to be cheaper.""Elastic Observability’s price could be improved.""The price is the only issue in the solution. It can be made better and cheaper.""There's a steep learning curve if you've never used this solution before.""Elastic Observability is an excellent product for monitoring and visibility, but it lacks predictive analytics. Most solutions are aligned with the AIOps requirements, but this piece is missing in Elastic and should be included.""There is room for improvement regarding its APM capabilities."

More Elastic Observability Cons →

Pricing and Cost Advice
  • "Pricing is based on the number of servers monitored, so for big applications, it is a bit expensive."
  • "Licensing is a bit complicated for Dynatrace, and pricing is dependent on how much your organization invests."
  • "We found an issue within the first week of ownership that has been costing us more than the entire license cost."
  • "Product pricing can seem a little over complex, however this is minor and does not detract from the benefits of the solution."
  • "Getting the first agents installed, getting information, and coverage in a initial set of systems can be done in hours and with a low cost entry point."
  • "Price (of the product) is a major concern for all the clients I work with."
  • "The licensing model is confusing in solutioning clients for the number of hosts needed to deploy."
  • "The product is superior to others, but it comes with a price tag that is often difficult to position back to clients."
  • More Dynatrace Pricing and Cost Advice →

  • "So far, there are just the standard licensing fees. Several of the components are embedded in the license or are even open source. They're even free depending on what you use, which makes it even more appealing to someone that is discussing pricing of the solution."
  • "There are two types: cloud and SaaS. They charge based on data ingestion, ingest rate, hard retention, and warm retention. I believe it costs around $25,000 annually to ingest 30GB of data daily. That is the SaaS version. There is also a self-managed license where the customer manages their own infrastructure on-prem. In such cases, there are three license tiers that respectively cost $5,000 annually per node, $7,000 per node, and $12,500 per node."
  • "Pricing is one of those situations where the more you use it, the more you pay."
  • "The price of Elastic Observability is expensive."
  • "Users have to pay for some features, like the alerts on different channels, because they are unavailable in different source versions."
  • "One needs to pay for the licenses, and it is an annual subscription model right now."
  • "Since we are a huge company, Elastic Observability is an affordable solution for us."
  • "We will buy a premium license after POC."
  • More Elastic Observability Pricing and Cost Advice →

    report
    Use our free recommendation engine to learn which Application Performance Monitoring (APM) and Observability solutions are best for your needs.
    768,857 professionals have used our research since 2012.
    Questions from the Community
    Top Answer: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… more »
    Top Answer: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 else… more »
    Top Answer: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… more »
    Top Answer:Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning… more »
    Top Answer:I rate the pricing a five out of ten. The product is not that cheap.
    Top Answer:The tool's scalability involves a more complex implementation process. It requires careful calculations to determine the number of nodes needed, the specifications of each node, and the configuration… more »
    Ranking
    Views
    46,602
    Comparisons
    28,133
    Reviews
    15
    Average Words per Review
    468
    Rating
    8.5
    Views
    12,577
    Comparisons
    10,415
    Reviews
    16
    Average Words per Review
    445
    Rating
    7.9
    Comparisons
    Learn More
    Overview

    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:

    • Smartscape - visualization mechanism that maps the totality of everything working in your environment and detects any casual dependencies between your applications, processes, websites, services, hosts, cloud infrastructure, and networks.

    • OneAgent - a technology that analyzes, gathers ,and unifies all business performance metrics throughout every layer of your technology stack.

    • PurePath Technology - code-level context and timings are captured from the mainframe to the cloud for all end-to-end transactions.

    What does Dynatrace offer?

    Dynatrace redefines how organizations monitor their digital ecosystems. The solution offers:

    • Cloud Automation: With AI engine Davis®, users can see the exact reason for problems and facilitate quick auto-remediation and intelligent cloud orchestration.

    • Application Security: With automated application vulnerability management, users can deliver applications faster and more securely.

    • Infrastructure Monitoring: Convenient broad visibility across your environments is provided with streamlined, automated infrastructure monitoring.

    • Digital Experience Monitoring (DEM): Optimize your applications, provide better support, and improve user experience with a combination of Real User Monitoring (RUM), Session Replay, and synthetic monitoring throughout your environment.

    • Applications and Microservices: For complex cloud environments, Dynatrace can automatically provide visibility and root-cause answers. It can also monitor microservices.

    • Digital Business Analytics: Get AI-powered, real-time answers to analytical business queries with KPIs and metrics that are already flowing through applications.

    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."

    To effectively monitor and gain insights across your distributed systems, you need to have all your observability data in one stack. Break down silos by bringing together application, infrastructure, and user data into a unified solution for end-to-end observability and alerting.
    Rely on the most widely deployed observability platform available, built on the proven Elastic Stack (also known as the ELK Stack) to converge silos, delivering unified visibility and actionable insights.
    Sample Customers
    Audi, Best Buy, LinkedIn, CISCO, Intuit, KRONOS, Scottrade, Wells Fargo, ULTA Beauty, Lenovo, Swarovsk, Nike, Whirlpool, American Express
    PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
    Top Industries
    REVIEWERS
    Financial Services Firm28%
    Insurance Company9%
    Computer Software Company9%
    Manufacturing Company8%
    VISITORS READING REVIEWS
    Educational Organization28%
    Financial Services Firm18%
    Computer Software Company8%
    Manufacturing Company6%
    REVIEWERS
    Computer Software Company27%
    Manufacturing Company18%
    Comms Service Provider9%
    Healthcare Company9%
    VISITORS READING REVIEWS
    Financial Services Firm21%
    Computer Software Company15%
    Manufacturing Company8%
    Healthcare Company6%
    Company Size
    REVIEWERS
    Small Business17%
    Midsize Enterprise13%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business11%
    Midsize Enterprise33%
    Large Enterprise56%
    REVIEWERS
    Small Business27%
    Midsize Enterprise18%
    Large Enterprise55%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise12%
    Large Enterprise67%
    Buyer's Guide
    Dynatrace vs. Elastic Observability
    April 2024
    Find out what your peers are saying about Dynatrace vs. Elastic Observability and other solutions. Updated: April 2024.
    768,857 professionals have used our research since 2012.

    Dynatrace is ranked 2nd in Application Performance Monitoring (APM) and Observability with 340 reviews while Elastic Observability is ranked 7th in Application Performance Monitoring (APM) and Observability with 22 reviews. Dynatrace is rated 8.8, while Elastic Observability is rated 7.8. The top reviewer of Dynatrace writes "AI identifies all the components of a response-time issue or failure, hugely benefiting our triage efforts". On the other hand, the top reviewer of Elastic Observability writes "The user interface framework lets us do custom development when needed. ". Dynatrace is most compared with Datadog, New Relic, AppDynamics, Splunk Enterprise Security and Grafana, whereas Elastic Observability is most compared with New Relic, AppDynamics, Azure Monitor, Sentry and Datadog. See our Dynatrace vs. Elastic Observability report.

    See our list of best Application Performance Monitoring (APM) and Observability vendors, best Log Management vendors, and best Container Monitoring vendors.

    We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.