DataRobot vs Datadog comparison

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Datadog Logo
20,286 views|12,151 comparisons
95% willing to recommend
DataRobot Logo
112 views|47 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

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

Find out what your peers are saying about Datadog, Dynatrace, New Relic and others in AIOps.
To learn more, read our detailed AIOps Report (Updated: April 2024).
768,924 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
"It has a nice UI.""This spectrum of solutions has allowed us to track down bugs faster and more rapidly, which allows us to limit revenue lost during downtime.""Straightforward to integrate and automate.""It has turned into an operational dashboard. If you felt something is going wrong, you can immediately open up Datadog. It has been our go to application because we know the answer will be there.""Datadog is constantly adding new features.""The most valuable aspect is for us to have everything in one place.""Integrating Datadog with other platforms has made our monitoring processes a bit easier. It's not super simple, but it's manageable.""It has scaled great. I haven't run into any problems anywhere that I've used it. They have handled everything that we have needed them to."

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"DataRobot can be easy to use.""We especially like the initial part of feature engineering, because feature engineering is included in most engines, but DataRobot has an excellent way of picking up the right features."

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Cons
"It can be overwhelming for new people as it has a lot of features.""Sometimes, it takes a long time to load the dashboard if we have many charts.""It does not have the best interface.""The documentation could be improved regarding setting up the agent properly and debugging.""To be very fair, I haven't had enough experience with Datadog to pick out improvements.""The current way accounts are billed could be vastly improved - especially when involving multiple organizations across multiple accounts in combination with reserved commitments.""I would like better navigability across pages.""I'd like to see better pricing and more integration in the next release."

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"The business departments will love to work with DataRobot because they use the tool to investigate their data, such as targeting what they want to investigate. They don't need any data scientists near them. They can investigate at eye level and bring into the BI tool, or can bring it to the data scientist. Data scientists can use this tool to bring increase the solution to the maximum. All the others can use it, but not to the maximum.""If we could include our existing Python or R code in DataRobot, we could make it even better. The DataRobot that we have is specific to an industry, but most of the time we would have our own algorithms, which are specific to our own use case. If we had a way by which we could integrate our proprietary things into DataRobot with a simple integration, it would help us a lot."

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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 →

  • "We dropped the plan to use DataRobot, because we found the pricing to be on the higher sise. We liked DataRobot a lot, but due to the pricing, we dropped that idea."
  • "The price of DataRobot is good because if you take the price of the solution which is approximately $65,000, it is less than a data scientist. There are very few data scientists available."
  • More DataRobot 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
    1st
    out of 23 in AIOps
    Views
    20,286
    Comparisons
    12,151
    Reviews
    94
    Average Words per Review
    433
    Rating
    8.6
    19th
    out of 23 in AIOps
    Views
    112
    Comparisons
    47
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Dynatrace logo
    Compared 21% 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.
    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.

    DataRobot captures the knowledge, experience and best practices of the world’s leading data scientists, delivering unmatched levels of automation and ease-of-use for machine learning initiatives. DataRobot enables users to build and deploy highly accurate machine learning models in a fraction of the time.

    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
    Harmoney, Zidisha, ONE Marketing, DonorBureau, Trupanion, Avant
    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 Company7%
    VISITORS READING REVIEWS
    Educational Organization25%
    Financial Services Firm11%
    Computer Software Company9%
    Manufacturing Company6%
    Company Size
    REVIEWERS
    Small Business37%
    Midsize Enterprise19%
    Large Enterprise44%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise38%
    Large Enterprise45%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise28%
    Large Enterprise55%
    Buyer's Guide
    AIOps
    April 2024
    Find out what your peers are saying about Datadog, Dynatrace, New Relic and others in AIOps. Updated: April 2024.
    768,924 professionals have used our research since 2012.

    Datadog is ranked 1st in AIOps with 137 reviews while DataRobot is ranked 19th in AIOps. Datadog is rated 8.6, while DataRobot is rated 8.0. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". On the other hand, the top reviewer of DataRobot writes "Easy to use, priced well, and can be customized". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and AppDynamics, whereas DataRobot is most compared with Amazon SageMaker, RapidMiner, Microsoft Azure Machine Learning Studio, SAS Predictive Analytics and Alteryx.

    See our list of best AIOps vendors.

    We monitor all AIOps 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.