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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 Cloud Databases

    Score8 out of 10
    N/AIBM Cloud Databases are open source data stores for enterprise application development. Built on a Kubernetes foundation, they offer a database platform for serverless applications. They are designed to scale storage and compute resources seamlessly without being constrained by the limits of a single server. Natively integrated and available in the IBM Cloud console, these databases are now available through a consistent consumption, pricing, and interaction model. They aim to provide a cohesive…N/A
    Pricing
    DatadogIBM Cloud Databases
    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
    No answers on this topic
    Offerings
    Pricing Offerings
    DatadogIBM Cloud Databases
    Free Trial
    YesNo
    Free/Freemium Version
    YesNo
    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
    Community Pulse
    DatadogIBM Cloud Databases
    Considered Both Products
    Datadog
    No answer on this topic
    IBM
    Chose IBM Cloud Databases
    While at the time, Amazon RDS did/does not create Mongo databases, I was able to set up many with PostgreSQL databases with the same ease as IBM Compose. However, IBM compose does seem to offer a more intuitive application control panel. Amazon RDS costs run on a server …
    Incentivized
    Chose IBM Cloud Databases
    I love IBM compose for its simplicity, reliability, scalability, and price. I am uncertain on how the infrastructure is deployed and fault tolerance as we rarely need this.
    Incentivized
    Key User Insights
    Would buy again
    94%
    Would buy again
    50 Answers
    94%
    Would buy again
    15 Answers
    Delivers good value for the price
    93%
    Delivers good value for the price
    41 Answers
    80%
    Delivers good value for the price
    12 Answers
    Happy with the feature set
    98%
    Happy with the feature set
    52 Answers
    100%
    Happy with the feature set
    16 Answers
    Lived up to sales and marketing promises
    97%
    Lived up to sales and marketing promises
    32 Answers
    93%
    Lived up to sales and marketing promises
    14 Answers
    Implementation went as expected
    97%
    Implementation went as expected
    36 Answers
    93%
    Implementation went as expected
    14 Answers
    Features
    DatadogIBM Cloud Databases
    Monitoring Tasks
    Comparison of Monitoring Tasks features of Datadog and IBM Cloud Databases
    Feature
    Datadog
    7.9
    2 Ratings
    6% below category average
    IBM Cloud Databases
    -
    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 Cloud Databases
    Feature
    Datadog
    6.1
    1 Ratings
    12% below category average
    IBM Cloud Databases
    -
    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 Cloud Databases
    Feature
    Datadog
    8.2
    2 Ratings
    3% above category average
    IBM Cloud Databases
    -
    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 Cloud Databases
    Feature
    Datadog
    6.7
    1 Ratings
    9% below category average
    IBM Cloud Databases
    -
    Ratings
    Data backup and recovery6.41 Ratings00 Ratings
    Antivirus and malware management7.31 Ratings00 Ratings
    Administrator access control6.41 Ratings00 Ratings
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Datadog and IBM Cloud Databases
    Feature
    Datadog
    -
    Ratings
    IBM Cloud Databases
    7.3
    94 Ratings
    14% below category average
    Automatic software patching00 Ratings8.577 Ratings
    Database scalability00 Ratings10.088 Ratings
    Automated backups00 Ratings7.091 Ratings
    Database security provisions00 Ratings9.084 Ratings
    Monitoring and metrics00 Ratings4.088 Ratings
    Automatic host deployment00 Ratings5.269 Ratings
    Best Alternatives
    DatadogIBM Cloud Databases
    Small Businesses
    Amazon CloudWatch
    Score7.8 out of 10
    MongoDB Atlas
    Score7.8 out of 10
    Medium-sized Companies
    LogicMonitor
    Score8.9 out of 10
    Azure Database
    Score8.8 out of 10
    Enterprises
    ManageEngine Site24x7
    Score10 out of 10
    Google Cloud SQL
    Score8.7 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    DatadogIBM Cloud Databases
    Likelihood to Recommend
    8.9
    (65 ratings)
    8.0
    (96 ratings)
    Likelihood to Renew
    4.3
    (2 ratings)
    8.0
    (7 ratings)
    Usability
    8.7
    (44 ratings)
    8.0
    (7 ratings)
    Support Rating
    5.0
    (7 ratings)
    1.0
    (10 ratings)
    Implementation Rating
    1.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    DatadogIBM Cloud Databases
    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
    IBM
    Less Appropriate Scenario: 1) Small Scale or Low Budget Projects 2) Organizations with limited expertise in cloud technologies may find the learning curve steep, especially if they are not familiar with the IBM Cloud platform 3) If database requirements are highly dynamic and change frequently, the comprehensive features and management provided by IBM Cloud Databases might be overkill. A more flexible, self-managed solution could be preferable for adapting to rapid changes.
    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
    Read full review
    IBM
    • The ease of setup was effortless. For anyone with development experience, a few simple questions such as name and login data will get you set up.
    • The web application to manage cluster settings, billing settings and even introspect the data was simple and most importantly worked all the time. This can not always be said for web interfaces of other products.
    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
    • Better cost reports, before just increasing to another tier, thus increasing the price. This is critical for early stage startups, where budget is tight.
    • Add more data center options. As a comparison, a similar service, Aiven.io has dozen more options than Compose (basically all big cloud providers). We moved from AWS to Digital Ocean, which made us stop using Compose, since Compose forces us to be either on IBM or AWS.
    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
    IBM
    IBM is our trusted partner which never failed to meet our expectations. Stability, efficiency, usability and security is a must have for our business which is fully provided by IBM Cloud Databases
    Incentivized
    Read full review
    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
    IBM
    IBM Cloud Databases' pricing structure is easy to understand, and if you choose the right product, you can operate your system at minimal cost. Although there is ample documentation available, there doesn't seem to be a user community running on it, so specific usage know-how and troubleshooting can sometimes take longer than expected.
    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
    IBM
    Support is helpful enough, but we haven't always had questions answered in a satisfactory manner. At one time we realized that Compose had stopped taking database snapshots on its two-per-day schedule, and had in fact not taken one for many days. Support recognized the problem and it was fixed, but the lack of proactive checks and the inability to share exactly what happened has caused us to look elsewhere for production work loads
    Incentivized
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    Implementation Rating
    Datadog
    Documentation was difficult to work through, rollout was catastrophic (completely outage)
    Incentivized
    Read full review
    IBM
    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
    IBM
    The reason why I choose IBM Cloud Databases is that the IBM cloud toolset is already being used in other functions of the company and by using IBM Cloud Databases, the other cloud tools are better embedded and integrated. If the company is set to use amazon tools, I would go for rds.
    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
    • Prove use cases prior to administering entire platform, obtain ROI faster
    • Able to achieve the technological components of our advanced analytics team without full scale purchase of AI platform
    • Developed several studies to prove out cloud Db value, speed to deploy
    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.