Datadog vs Mezmo comparison

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26,001 views|15,508 comparisons
Mezmo Logo
620 views|426 comparisons
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Datadog and Mezmo based on real PeerSpot user reviews.

Find out what your peers are saying about Splunk, Datadog, Wazuh and others in Log Management.
To learn more, read our detailed Log Management Report (Updated: March 2024).
765,234 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
"The observability pipelines are the most valuable aspect of the solution.""Datadog has a lot of features to be able to drill down deep into the swath of logs that our platforms generate.""The CCM, Workflows, Logs, APM, and RUM are all useful aspects of the solution.""We have hundreds of microservices, and knowing how top-level requests weave throughout all of them is invaluable.""Datadog has proven to be easy to set up and legible for both development and operational teams.""Profiling has been made easier.""The seamless integration between Datadog and hundreds of apps makes onboarding new products and teams a breeze.""I have found error reporting and log centralization the most valuable features. Overall, Datadog provides a full package solution."

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"The solution aggregates all event streams, so that if there are any issues, it's all in the same interface.""LogDNA consolidates all logs into one place, which is super valuable."

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Cons
"We need a lot of modules since we collect all data logs from all operating systems.""Datadog could have a better business analysis module.""The way data is represented can be limiting. When I first tried it out a long time ago, you could graph a metric and another metric, and they'd overlay, but you couldn't take the ratio between the two.""Deploying the agents is still very manual.""Datadog could improve the flexibility with AI and ML concepts. This will allow customers to be more leveraged towards publishing.""The Log Explorer could be better. I don't think it has log manipulation as Splunk does.""Datadog needs more local Asia-Pacific support, and if they don't have a SaaS solution in Asia-Pacific, they should offer an on-prem version. I'm told that's not possible.""The pricing should be less of a surprise."

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"Every once in a while, our IBM cloud operational implementation gets behind. Sometimes, when we have a customer event, we do not get access to the latest logs for about 30 minutes, particularly for the sites that are heavily utilized. This is clearly not good. It is impossible to RCA when you can't look at the logs that pertain to the time period in which the event occurred. It could be more of an operational problem than a feature problem. I don't have visibility about whether it is a LogDNA issue or just an operational issue.""No ability to encapsulate a query or a filter, and communicate or share that among the team."

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Pricing and Cost Advice
  • "​Pricing seems reasonable. It depends on the size of your organization, the size of your infrastructure, and what portion of your overall business costs go toward infrastructure."
  • "It has always scaled for us. Cost scales up too, but that is not necessarily a bad thing. It's reasonable for what they're providing."
  • "Pricing and licensing are reasonable for what they give you. You get the first five hosts free, which is fun to play around with. Then it's about four dollars a month per host, which is very affordable for what you get out of it. We have a lot of hosts that we put a lot of custom metrics into, and every host gives you an allowance for the number of custom metrics."
  • "At my last company, we did see ROI, specifically around response time. We could get to mission critical things that were down and losing revenue on immediately. So, the product paid itself back."
  • "The pricing and licensing through AWS Marketplace has been good. It would be nice if it was cheaper, but their pricing is reasonable for what it is. Sometimes, for their newer features, they charge as if it's fully fleshed out, even though it is a newer feature and it may have less stuff than their other items."
  • "It costs the same amount it would if we were hosting it ourselves, so we are incredibly happy with the cost."
  • "The pricing came up a bit compared to their competitors. It is not that the price has risen, but that the competitors have gone down. They keep adding more features that I would have expected to be baked in at a more nominal price. I have been increasingly dissatisfied with the pricing, but not enough to jump ship."
  • "It didn't scale well from the cost perspective. We had a custom package deal."
  • More Datadog Pricing and Cost Advice →

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    Questions from the Community
    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:With Datadog, we have near-live visibility across our entire platform. We have seen APM metrics impacted several times lately using the dashboards we have created with Datadog; they are very good core… more »
    Top Answer:Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was the better fit for us. We decided to go with Dynatrace. Dynatrace offers network… more »
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    Ranking
    2nd
    out of 94 in Log Management
    Views
    26,001
    Comparisons
    15,508
    Reviews
    94
    Average Words per Review
    433
    Rating
    8.6
    48th
    out of 94 in Log Management
    Views
    620
    Comparisons
    426
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Dynatrace logo
    Compared 22% of the time.
    Azure Monitor logo
    Compared 14% of the time.
    New Relic logo
    Compared 10% of the time.
    AWS X-Ray logo
    Compared 4% of the time.
    AppDynamics logo
    Compared 4% of the time.
    Also Known As
    LogDNA
    Learn More
    Overview

    Datadog is a cloud monitoring solution that is designed to assist administrators, IT teams, and other members of an organization who are charged with keeping a close eye on their networks. Administrators can use Datadog to set real-time alerts and schedule automated report generation. They can deal with issues as they arise and keep up to date with the overall health of their network while still being able to focus on other tasks. Users can also track the historical performance of their networks and ensure that they operate at the highest possible level.

    Datadog Benefits

    Some of the ways that organizations can benefit by deploying Datadog include:

    • Gain an integrated view of the services and programs that IT teams are employing across their networks. Users can view and monitor all of the disparate programs that they have running across their networks with this one solution. They can track these programs across the entirety of the data’s life cycle.
    • Analyze and utilize massive amounts of data in real time. Datadog’s dashboards gather data in real time. Administrators can utilize their network’s data the minute that it becomes relevant to them. Decisions can be made based on the most current information available.
    • Keep your cloud network secured against digital threats. Datadog enables users to create alerts that will notify the minute that threats arise. IT teams and administrators can rapidly address any issue that comes up and prevent any existing problem from growing worse.
    • Easily get it up and running. Users can set up Datadog, configure it, and employ API integrations to connect it to external solutions with ease.

    Datadog Features

    • Customizable and prefabricated monitoring dashboards. Administrators are supplied with two different types of dashboards that they can choose from when they are setting up Datadog. They can customize the dashboards to fit any specialized monitoring need. Additionally, users can choose to use prefabricated dashboards that come with the solution.
    • Disaster recovery feature. Datadog has a built-in feature that enables organizations to continue functioning if some disaster strikes their network. If the network suffers damage, Datadog can restore lost data and infrastructure. Should a digital threat do damage to the network, Datadog ensures that the damage is not irreparable.
    • Vulnerability scanning tool. Users can keep ahead of threats to their networks by employing Datadog’s vulnerability scanning feature. This tool scans the entirety of a user’s network and warns them if a vulnerability is detected. Users can then move to patch these holes in their security before the threat to their network can escalate.

    Reviews from Real Users

    Datadog is a solution that stands out when compared to many of its competitors. It can offer organizations many advantages. Two major advantages are the dashboards that users can create and the monitoring capability that it gives system administrators.

    A senior manager in charge of site reliability engineering at Extra Space Storage writes, “The dashboards we created are core indicators of the health of our system, and it is one of the most reliable sources we have turned to, especially as we have seen APM metrics impacted several times lately. We can usually rely on logs to tell us what the apps are doing.”

    Housecall Pro’s senior director of DevOps writes, “We value the monitoring capability since it allows us to be pushed alerts, rather than having to observe graphs continually.

    Today’s enterprises must manage a massive amount of machine data. They require a platform that enables engineering teams to deliberately route and store structured and unstructured data for different teams with unique use cases. Legacy platforms weren’t made for this moment.

    Mezmo, formerly LogDNA, lets organizations ingest, process, route, analyze, and store all of their log data. Purpose-built for modern engineering teams—including developers, SREs, IT Operations, and Security Engineers—the Mezmo platform is trusted by thousands of companies for SaaS, cloud, and hybrid applications.

    Sample Customers
    Adobe, Samsung, facebook, HP Cloud Services, Electronic Arts, salesforce, Stanford University, CiTRIX, Chef, zendesk, Hearst Magazines, Spotify, mercardo libre, Slashdot, Ziff Davis, PBS, MLS, The Motley Fool, Politico, Barneby's
    Instacart, Asics, Lime, Salesforce
    Top Industries
    REVIEWERS
    Financial Services Firm22%
    Computer Software Company14%
    Comms Service Provider11%
    Pharma/Biotech Company5%
    VISITORS READING REVIEWS
    Educational Organization31%
    Computer Software Company12%
    Financial Services Firm10%
    Manufacturing Company6%
    VISITORS READING REVIEWS
    Financial Services Firm24%
    Real Estate/Law Firm13%
    Computer Software Company11%
    Comms Service Provider7%
    Company Size
    REVIEWERS
    Small Business37%
    Midsize Enterprise20%
    Large Enterprise43%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise38%
    Large Enterprise46%
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise13%
    Large Enterprise64%
    Buyer's Guide
    Log Management
    March 2024
    Find out what your peers are saying about Splunk, Datadog, Wazuh and others in Log Management. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    Datadog is ranked 2nd in Log Management with 136 reviews while Mezmo is ranked 48th in Log Management. Datadog is rated 8.6, while Mezmo is rated 9.0. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". On the other hand, the top reviewer of Mezmo writes "Has vastly increased our ability to reach SLA targets consistently". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and AppDynamics, whereas Mezmo is most compared with Cribl Stream.

    See our list of best Log Management vendors.

    We monitor all Log Management 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.