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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

    Fivetran

    Score8.2 out of 10
    N/AFivetran replicates applications, databases, events and files into a high-performance data warehouse, after a five minute setup. The vendor says their standardized cloud pipelines are fully managed and zero-maintenance. The vendor says Fivetran began with a realization: For modern companies using cloud-based software and storage, traditional ETL tools badly underperformed, and the complicated configurations they required often led to project failures. To streamline and accelerate…

    $0.01

    Pricing
    DatadogFivetran
    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
    Starter
    $0.01
    per credit
    Standard
    $0.01
    per credit
    Enterprise
    $0.01
    per credit
    Offerings
    Pricing Offerings
    DatadogFivetran
    Free Trial
    YesYes
    Free/Freemium Version
    YesNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeOptionalOptional
    Additional DetailsDiscount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).—
    More Pricing Information
    Features
    DatadogFivetran
    Monitoring Tasks
    Comparison of Monitoring Tasks features of Datadog and Fivetran
    Feature
    Datadog
    7.9
    2 Ratings
    6% below category average
    Fivetran
    -
    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 Fivetran
    Feature
    Datadog
    6.1
    1 Ratings
    12% below category average
    Fivetran
    -
    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 Fivetran
    Feature
    Datadog
    8.2
    2 Ratings
    3% above category average
    Fivetran
    -
    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 Fivetran
    Feature
    Datadog
    6.7
    1 Ratings
    9% below category average
    Fivetran
    -
    Ratings
    Data backup and recovery6.41 Ratings00 Ratings
    Antivirus and malware management7.31 Ratings00 Ratings
    Administrator access control6.41 Ratings00 Ratings
    Data Source Connection
    Comparison of Data Source Connection features of Datadog and Fivetran
    Feature
    Datadog
    -
    Ratings
    Fivetran
    10.0
    8 Ratings
    18% above category average
    Connect to traditional data sources00 Ratings10.08 Ratings
    Connecto to Big Data and NoSQL00 Ratings10.06 Ratings
    Data Transformations
    Comparison of Data Transformations features of Datadog and Fivetran
    Feature
    Datadog
    -
    Ratings
    Fivetran
    7.5
    7 Ratings
    8% below category average
    Simple transformations00 Ratings7.67 Ratings
    Complex transformations00 Ratings7.45 Ratings
    Data Modeling
    Comparison of Data Modeling features of Datadog and Fivetran
    Feature
    Datadog
    -
    Ratings
    Fivetran
    6.2
    8 Ratings
    25% below category average
    Data model creation00 Ratings2.06 Ratings
    Metadata management00 Ratings4.04 Ratings
    Business rules and workflow00 Ratings8.06 Ratings
    Collaboration00 Ratings7.95 Ratings
    Testing and debugging00 Ratings9.04 Ratings
    Data Governance
    Comparison of Data Governance features of Datadog and Fivetran
    Feature
    Datadog
    -
    Ratings
    Fivetran
    8.3
    7 Ratings
    3% above category average
    Integration with data quality tools00 Ratings8.36 Ratings
    Integration with MDM tools00 Ratings8.34 Ratings
    Best Alternatives
    DatadogFivetran
    Small Businesses
    Amazon CloudWatch
    Score7.8 out of 10
    Skyvia
    Score10 out of 10
    Medium-sized Companies
    LogicMonitor
    Score8.9 out of 10
    IBM InfoSphere Information Server
    Score10 out of 10
    Enterprises
    ManageEngine Site24x7
    Score10 out of 10
    SolarWinds Task Factory
    Score8.3 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    DatadogFivetran
    Likelihood to Recommend
    8.9
    (65 ratings)
    8.0
    (10 ratings)
    Likelihood to Renew
    4.3
    (2 ratings)
    -
    (0 ratings)
    Usability
    8.7
    (44 ratings)
    8.2
    (3 ratings)
    Performance
    -
    (0 ratings)
    8.0
    (1 ratings)
    Support Rating
    5.0
    (7 ratings)
    -
    (0 ratings)
    Implementation Rating
    1.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    DatadogFivetran
    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
    Read full review
    Fivetran
    Fivetran's business model justifies the use-case where we require data from a single source basically a lot of data but if the requirement is not on the heavier side, Fivetran comes to costly operation when compared to its peers. Otherwise, I'll recommend Fivetran for stability and update and seamless service provider.
    Incentivized
    Read full review
    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
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    Fivetran
    • Easily connects to source data using delivered connectors
    • Transforms data into standard models and schemas
    • Has very good documentation to help quickly setup connectors
    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
    Fivetran
    • Very difficult to get connectors enhanced if a specific needed object is not supported by them
    • Depending on the edition needed and the data volumes, can get quite expensive
    Incentivized
    Read full review
    Likelihood to Renew
    Datadog
    Definitely will not revisit after our issues and, in my opinion, poor support.
    Incentivized
    Read full review
    Fivetran
    No answers on this topic
    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
    Read full review
    Fivetran
    Very easy and intuitive to setup and maintain as there usually are not that many options. Very well documented (e.g. how to setup each connector, how the schema looks like, any specific features of this connector etc.). Also the operation is intuitive, e.g. you have status pages, log pages, configuration pages etc. for each connector.
    Incentivized
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    Performance
    Datadog
    No answers on this topic
    Fivetran
    It runs pretty well and gets our data from point A to point cluster quickly enough. Honestly, it's not something I think about unless it breaks and that's pretty rare.
    Incentivized
    Read full review
    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
    Read full review
    Fivetran
    No answers on this topic
    Implementation Rating
    Datadog
    Documentation was difficult to work through, rollout was catastrophic (completely outage)
    Incentivized
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    Fivetran
    No answers on this topic
    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
    Read full review
    Fivetran
    We never seriously considered using anything else. Our data engineers had used Fivetran extensively in previous roles so when it came time to make a decision, there wasn't much of a process. They gladly signed the contract with Fivetran pretty quickly.
    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
    Fivetran
    • It has been very positive in serving BI team with new source requests
    • It has been OK at scaling to match as data volumes as source data size grows
    Incentivized
    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.