Datadog 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
Oracle Observability and Management
Score 6.3 out of 10
N/A
Oracle's Observability and Management solution provides visibility and machine learning-driven actionable insights to ease management across all layers of the stack deployed on any technology. To drive scale and predictable results, Oracle’s integrated functionality and automation for DevOps monitoring and IT operations management aims to make it 50% easier to prevent and solve IT problems.
N/A
Virtana Platform
Score 8.8 out of 10
N/A
Virtana delivers enterprise-grade deep hybrid infrastructure observability, enabling organizations to achieve visibility and control across their entire IT estate. The platform unifies monitoring of on-premises, cloud, and Kubernetes environments, to transform complex infrastructure management into a strategic advantage. Core Platform Capabilities Deep Infrastructure Observability: · Automated topology discovery and mapping · Real…
$5
per month per device
Pricing
Datadog
Oracle Observability and Management
Virtana Platform
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
Free
$0
Pro
$5
per month per device
Offerings
Pricing Offerings
Datadog
Oracle Observability and Management
Virtana Platform
Free Trial
Yes
No
No
Free/Freemium Version
Yes
No
Yes
Premium Consulting/Integration Services
No
No
No
Entry-level Setup Fee
Optional
No setup fee
No setup fee
Additional Details
Discount available for annual pricing. Multi-Year/Volume discounts available (500+ hosts/mo).
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Volume discounts are available (600+ devices / month)
A device is any running AWS EC2 or Azure VM evaluated by Virtana Optimize in a given month
We don't have much to say bad about other services. We just found that Metricly was a good fit for us. And their customer support is really really good. So if we get stuck we simply reach out for help which hasn't been very often. We didn't get that kind of support from other …
We strongly prefer Metricly for AWS Cost Analysis -- whereas other tools are easier to use on a traditional monitoring basis. To be clear, Merticly's monitoring tools are GREAT, but they require tuning and manual setup that we didn't have the time for on a small Platform …
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.
Ideal for a complex organization with requirements to build very complex reports. Especially useful for organizations that already have numerous Oracle products and need to pull information from them. This tool works best when plugged in with other Oracle tools and databases. If you're a larger company, and/or if you're managing a lot of data, Oracle IT Analytics Cloud Service is the perfect tool to manage your Oracle deployment. It provides a number of different options for intelligent analysis while not being too overwhelming to manage. Companies that want a robust tool to manage all data and present it in a visually appealing way to users will greatly benefit from this tool. The tool is very customizable and can be tailored to meet the needs of different users.
Overall I would say that we have been very happy with Zenoss. It has been a great server monitoring tool. There are certain aspects that we would like to expand into, such as Capacity Planning, Network Performance Monitoring, and log analysis. We have coupled Zenoss logs with Splunk for external log management, but would like to start using some of the built-in analysis tools.
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.
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
There's a pretty steep learning curve that needs to be overcome in order to properly deploy this tool. So, unless you're a seasoned IT administrator, you may have a fair amount of homework to do. Implementation and maintenance of this takes a bucket of consulting hours from outside consultants to come in and set up the tool and regularly maintain it, in the long run, this could be costly.
The dashboard is not as easy to set up as I would like, however, after setup it will serve your purpose in the best possible way. You may not be able to find out how some data related to another and you can create a report that you think has all the details you need, but it comes up blank because the data really is not connected.
There aren't enough self-learning materials available like tutorials and how-to videos. I would like to have access to more e-tutorials from inside the tool. A steep learning curve for most. It would be nice to have a robust learning portal within the application where users can access self-learning material directly from the application and step to spet guides on how to perform different tasks.
Does not provide the ease of adding additional data sources without lots of complications. Even though it can handle large data sets, rendering of reports can take a fairly long time if the parameter set is large. For some time it seems like processing takes a bit of time when large data sets are being used. This is not the case with other competing tools.
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.
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.
The product management team is very responsive. They are on LinkedIn and Twitter, responding to your questions and offering ideas. I have not opened an Oracle support ticket for this product yet
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.
Oracle Analytics Cloud is an enterprise solution and can't be compared apple-to-apple with a data visualization tool like Tableau. This is not the same use at all. Before selecting Oracle Analytics Cloud, it is most important to consider the data you are looking to collect and how you plan to visualize it. Other tools like Tableau and microstrategy feel smoother to work with, have better UI's and are quicker when processing data. It is also important to think through how you will use the data across your organizations. Can have a steep learning curve but once you are well trained on this tool, the possibilities are endless. The tool is highly customizable and will generate what you design it to generate. If you are having issues with reports and analytics, it is most likely due to data quality issues. Oracle Analytics Cloud also benefits by adding Essbase in it, to perform multi-dimensional analytics.
We strongly prefer Metricly for AWS Cost Analysis -- whereas other tools are easier to use on a traditional monitoring basis. To be clear, Merticly's monitoring tools are GREAT, but they require tuning and manual setup that we didn't have the time for on a small Platform Operations team. We have worked closely with Metricly to expand on their cost analysis capabilities, and plan to use them going forward.
We're a reseller/Integrator, so this question has a somewhat different meaning to our business. For us, Zenoss Cloud allows us to provide a single Cloud-based monitoring platform that can address virtually all our clients' use cases, dramatically simplifying our training and staffing requirements. Instead of training Engineers on several platforms, including the installation of physical hardware/software, we can focus on a single platform.
The faster time-to-deployment and always-on cloud platform is a great fit for DevOps environments and newer software-defined data center platforms. The ability of Zenoss to support these environments solves what has been a major blind spot, slowing adoption of platforms that have been difficult to effectively manage with legacy monitoring platforms.
For clients, the ability to consolidate from multiple prem-based tools to a single cloud-based platform is huge. Eliminating multiple licenses and ongoing hardware & administration costs can show a 1-2 year ROI.
