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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Datadog

    Score8.8 out of 10
    N/ADatadog is a monitoring service for IT, Dev and Ops teams who write and run applications at scale, and want to turn the massive amounts of data produced by their apps, tools and services into actionable insight.

    $18

    per month per host

    IBM Terraform

    Score8.7 out of 10
    N/AIBM Terraform (formerly Hashicorp Terraform) is a cloud infrastructure automation tool used to create, change, and improve production infrastructure, and it allows infrastructure to be expressed as code. It is available Open Source, and via Cloud and Self-Hosted editions.

    $0

    Pricing
    DatadogIBM Terraform
    Editions & Modules
    Log Management
    $1.27
    per month (billed annually) per host
    Infrastructure
    $15.00
    per month (billed annually) per host
    Standard
    $18
    per month per host
    Enterprise
    $27
    per month per host
    DevSecOps Pro
    $27
    per month per host
    APM
    $31.00
    per month (billed annually) per host
    DevSecOps Enterprise
    $41
    per month per host
    Open Source
    $0
    Team & Governance
    $20/user
    per user/per month
    Enterprise
    Contact sales team
    Offerings
    Pricing Offerings
    DatadogIBM Terraform
    Free Trial
    YesNo
    Free/Freemium Version
    YesYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeOptionalNo setup fee
    Additional DetailsDiscount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).—
    More Pricing Information
    Features
    DatadogIBM Terraform
    Monitoring Tasks
    Comparison of Monitoring Tasks features of Datadog and IBM Terraform
    Feature
    Datadog
    7.9
    2 Ratings
    6% below category average
    IBM Terraform
    -
    Ratings
    Remote monitoring8.22 Ratings00 Ratings
    Network device monitoring7.72 Ratings00 Ratings
    Multiple Server Monitoring7.72 Ratings00 Ratings
    Multi-device monitoring7.72 Ratings00 Ratings
    Automated alerts and notifications8.22 Ratings00 Ratings
    Management Tasks
    Comparison of Management Tasks features of Datadog and IBM Terraform
    Feature
    Datadog
    6.1
    1 Ratings
    12% below category average
    IBM Terraform
    -
    Ratings
    Patch Management7.31 Ratings00 Ratings
    Service configuration management6.41 Ratings00 Ratings
    Software and hardware inventory5.51 Ratings00 Ratings
    Policy-based automation5.51 Ratings00 Ratings
    Reporting
    Comparison of Reporting features of Datadog and IBM Terraform
    Feature
    Datadog
    8.2
    2 Ratings
    3% above category average
    IBM Terraform
    -
    Ratings
    Performance data reports8.22 Ratings00 Ratings
    Customizable reporting7.72 Ratings00 Ratings
    Data visualization8.62 Ratings00 Ratings
    Risk analysis8.22 Ratings00 Ratings
    Security
    Comparison of Security features of Datadog and IBM Terraform
    Feature
    Datadog
    6.7
    1 Ratings
    9% below category average
    IBM Terraform
    -
    Ratings
    Data backup and recovery6.41 Ratings00 Ratings
    Antivirus and malware management7.31 Ratings00 Ratings
    Administrator access control6.41 Ratings00 Ratings
    Best Alternatives
    DatadogIBM Terraform
    Small Businesses
    Amazon CloudWatch
    Score7.8 out of 10
    HashiCorp Vagrant
    Score9 out of 10
    Medium-sized Companies
    LogicMonitor
    Score8.9 out of 10
    HashiCorp Vagrant
    Score9 out of 10
    Enterprises
    ManageEngine Site24x7
    Score10 out of 10
    AWS CloudFormation
    Score8.2 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    DatadogIBM Terraform
    Likelihood to Recommend
    8.9
    (65 ratings)
    7.8
    (33 ratings)
    Likelihood to Renew
    4.3
    (2 ratings)
    9.0
    (2 ratings)
    Usability
    8.7
    (44 ratings)
    8.8
    (8 ratings)
    Performance
    -
    (0 ratings)
    9.4
    (3 ratings)
    Support Rating
    5.0
    (7 ratings)
    8.0
    (6 ratings)
    Implementation Rating
    1.0
    (1 ratings)
    8.0
    (1 ratings)
    Ease of integration
    -
    (0 ratings)
    9.2
    (3 ratings)
    User Testimonials
    DatadogIBM Terraform
    Likelihood to Recommend
    Datadog
    Datadog may be better suited for teams that have a more out-of-the-box infrastructure, on the primary platforms Datadog supports. You may also have better results if you have a bigger team dedicated to devops and/or a bigger budget. We found that trying to adapt it to our use case (small team, .NET on AWS Fargate) wasn't feasible. We continually ran into roadblocks that required us to dig through documentation (and at times, having to figure out some documentation was wrong), go back and forth with support, and in my opinion, waste money on excessive and unintended usages due to opaque pricing models and inaccurate usage reports, as well as broken/non-functional rate sampling controls.
    Incentivized
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    IBM
    Anything that needs to be repeated en masse. Terraform is great at taking a template and have it be repeated across your estate. You can dynamically change the assets they're generating depending on certain variables. Which means though templated assets will all be similar, they're allowed to have unique properties about them. For example flattening JSON into tabular data and ensuring the flattening code is unique to the file's schema.
    Incentivized
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    Pros
    Datadog
    • The thing which Datadog does really well, one of them are its broad range of services integrations and features which makes it one step observability solution for all. We can monitor all types of our application, infrastructure, hosts, databases etc with Datadog.
    • Its custom dashboard feature which helps us to visualize the data in a better way . It supports different types of charts through those charts we can create our dashboard more attractive.
    • Its AI powered alerting capability though that we can easily identify the root cause and also it has a low noise alerting capability which means it correlated the similar type of issues.
    Incentivized
    Read full review
    IBM
    • Terraform is cloud agnostic. Just select the suitable provider for the cloud and it will do the job.
    • Templating is possible to make the Terraform templates reusable.
    • Variables can be created to make the templates generic so that it can be reused for different environments or resources.
    Incentivized
    Read full review
    Cons
    Datadog
    • Alert windows cause lag in notifications (e.g. if the alert window is X errors in 1 hour, we won't get alerted until the end of the 1 hour range)
    • I would appreciate more supportive examples for how to filter and view metrics in the explorer
    • I would like a more clear interface for metrics that are missing in a time frame, rather than only showing tags/etc. for metrics that were collected within the currently viewed time frame
    Incentivized
    Read full review
    IBM
    • The language itself is a bit unusual and this makes it hard for new users to get onboarded into the codebase. While it's improving with later releases, basic concepts like "map an array of options into a set of configurations" or "apply this logic if a variable is specified" are possible but unnecessarily cumbersome.
    • The 'Terraform Plan' operation could be substantially more sophisticated. There are many situations where a Terraform file could never work but successfully passes the 'plan' phase only to fail during the 'apply' phase.
    • Environment migrations could be smoother. Renaming/refactoring files is a challenge because of the need to use 'Terraform mv' commands, etc.
    Incentivized
    Read full review
    Likelihood to Renew
    Datadog
    Definitely will not revisit after our issues and, in my opinion, poor support.
    Incentivized
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    IBM
    Still the best provisioning tool out there and good support from the community as well in terms of shared knowledge
    Incentivized
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    Usability
    Datadog
    There are so many features that it can be hard to figure out where you need to go for your own use case. For example, RUM monitoring us buried in a "Digital Experience" sidebar setting when this is one of our key use cases that I sometimes struggle to find in the application. It appears that ECS + Fargate monitoring was recently released which is great because we had to build a lambda reporting solution for ephemeral task monitoring. But this new feature was never on my radar until I starting clicking around the application.
    Incentivized
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    IBM
    The syntax itself is pretty straightforward. The documentation is well-maintained & easy to follow. Most cloud providers, even smaller ones, maintain official provider libraries, making discovery & learning a breeze. Some, like GCP, even provide high-level libraries on top of their own more primitive provider, making building complex infra much more manageable. The language itself is cloud-agnostic, so you can literally manage resources from multiple providers in a single Terraform repo.
    Read full review
    Performance
    Datadog
    No answers on this topic
    IBM
    Terraform's performance is quite amazing when it comes to deployment of resources in AWS. Of course, the deployment times depend on various parameters like the number of resources to deploy and different regions to deploy. Terraform cannot control that. The only minor drawback probably shows up when a terraform job is terminated mid way. Then in many cases, time-consuming manual cleanup is required.
    Incentivized
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    Support Rating
    Datadog
    The support team usually gets it right. We did have a rather complicate issue setting up monitoring on a domain controller. However, they are usually responsive and helpful over chat. The downside would be I don’t think they have any phone support. If that is important to you this might not be a good fit.
    Incentivized
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    IBM
    I have yet to have an opportunity to reach out directly to HashiCorp for support on Terraform. However, I have spent a great deal of time considering their documentation as I use the tool. This opinion is based solely on that. I find the Terraform documentation to have great breadth but lacking in depth in many areas. I appreciate that all of the tool's resources have an entry in the docs but often the examples are lacking. Often, the examples provided are very basic and prompt additional exploration. Also, the links in the documentation often link back to the same page where one might expect to be linked to a different source with additional information.
    Incentivized
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    Implementation Rating
    Datadog
    Documentation was difficult to work through, rollout was catastrophic (completely outage)
    Incentivized
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    IBM
    Implementation is straight forward. Never had issues as the team is already very familiar with Terraform installation from previous projects and roles
    Incentivized
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    Alternatives Considered
    Datadog
    Our logs are very important, and Datadog manages them exceptionally well. We frequently use Datadog services for our investigations. Use case: Monitor your apps, infrastructure, APIs, and user experience.


    Key features:


    Logs, metrics, and APM (Application Performance Monitoring)


    Real-time alerting and dashboards


    Supports Kubernetes, AWS, GCP, and other integrations


    RUM (Real User Monitoring) and Synthetics





    ✅ Best for backend, server, and distributed systems monitoring.
    Incentivized
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    IBM
    Terraform is the solid leader in the space. It allows you to do more then just provisioning within a pre-existing servers. It is more extensible and has more providers available than it competitors. It is also open source and more adopted by the community then some of the other solutions that are available in the market place.
    Incentivized
    Read full review
    Return on Investment
    Datadog
    • Saved us (time & money) from developing our own monitoring utilities that would pale in comparison
    • Alerts allow us to remedy issues before our customers even know about them
    • Tracking resource usage over time allows us to better plan for future needs, before it becomes a pain-point.
    Incentivized
    Read full review
    IBM
    • we are able to deploy our infrastructure in a couple of ours in an automated and repeatable way, before this could take weeks if the work was done manually and was a lot of error prone.
    • having the state file, you can see a diff of what things have changed manually out side of Terraform which is a huge plus
    • if state file gets corrupted, it is very hard to debug or restore it without an impact or spending hours ..
    • writing big scale code can be very challenging and hard to be efficient so it's usable by the whole team
    Read full review
    ScreenShots

    Datadog Screenshots

    Screenshot of the out-of-the-box and customizable monitoring dashboards.Screenshot of Datadog's collaboration features, where users can discuss issues in-context with production data, annotate changes and notify their teams, see who responded to that alert before, and discover what was done to fix it.Screenshot of where Datadog unifies traces, metrics, and logs—the three pillars of observability.Screenshot of some of Datadog's 400+ built-in integrations.Screenshot of Datadog's Service Map, which decomposes an application into all its component services and draws the observed dependencies between these services in real timeScreenshot of centralized log data, pulled from any source.

    IBM Terraform Screenshots

    Screenshot of Terraform StateScreenshot of Terraform RunsScreenshot of Terraform VariablesScreenshot of Terraform WorkspacesScreenshot of Terraform Cost Estimation