Datadog vs. LogRhythm NextGen SIEM Platform

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Datadog
Score 8.6 out of 10
N/A
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
LogRhythm NextGen SIEM Platform
Score 7.7 out of 10
N/A
The LogRhythm NextGen SIEM Platform, from LogRhythm in Boulder, Colorado, is security information and event management (SIEM) software which includes SOAR functionality via SmartResponse Automation Plugins (a RespondX feature), the DetectX security analytics module, and AnalytiX as a log management solution that centralizes log data, enriches it with contextual details and applies a consistent schema across all data types.N/A
Pricing
DatadogLogRhythm NextGen SIEM 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
Offerings
Pricing Offerings
DatadogLogRhythm NextGen SIEM Platform
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
DatadogLogRhythm NextGen SIEM Platform
Features
DatadogLogRhythm NextGen SIEM Platform
Security Information and Event Management (SIEM)
Comparison of Security Information and Event Management (SIEM) features of Product A and Product B
Datadog
-
Ratings
LogRhythm NextGen SIEM Platform
6.7
22 Ratings
16% below category average
Centralized event and log data collection00 Ratings8.522 Ratings
Correlation00 Ratings7.522 Ratings
Event and log normalization/management00 Ratings8.022 Ratings
Deployment flexibility00 Ratings4.021 Ratings
Integration with Identity and Access Management Tools00 Ratings6.018 Ratings
Custom dashboards and workspaces00 Ratings7.022 Ratings
Host and network-based intrusion detection00 Ratings7.016 Ratings
Data integration/API management00 Ratings5.54 Ratings
Behavioral analytics and baselining00 Ratings7.04 Ratings
Rules-based and algorithmic detection thresholds00 Ratings7.04 Ratings
Response orchestration and automation00 Ratings6.04 Ratings
Reporting and compliance management00 Ratings6.05 Ratings
Incident indexing/searching00 Ratings8.04 Ratings
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DatadogLogRhythm NextGen SIEM Platform
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User Ratings
DatadogLogRhythm NextGen SIEM Platform
Likelihood to Recommend
9.4
(55 ratings)
7.5
(20 ratings)
Likelihood to Renew
-
(0 ratings)
9.0
(1 ratings)
Usability
9.2
(34 ratings)
8.0
(2 ratings)
Support Rating
8.9
(6 ratings)
8.2
(9 ratings)
Implementation Rating
-
(0 ratings)
8.0
(1 ratings)
User Testimonials
DatadogLogRhythm NextGen SIEM Platform
Likelihood to Recommend
Datadog
As per my experience, Datadog is best suited for complex, cloud-native environments where unified observability is critical, as it integrates seamlessly with AWS and Azure. Moreover, it provides deep visibility into latency and error rates. Datadog pricing is less appropriate for Startups with a tight budget and for organizations needing advanced incident management.
Read full review
LogRhythm
Having mostly worked with their on-premises solution, I think it's well-suited for small , medium, and even big organisations. I feel it might be less suited if the customer wants a SIEM with 100% uptime, as it goes down a lot. Or if they want to depend on customer support. I suggest that if you want to go with LR, you have to have your own experienced engineers to work on.
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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.
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LogRhythm
  • LogRhythm NextGen SIEM Platform has an alarm system that generates tickets based on the event and the way it has been configured in the LogRhythm console. Let's say we have a ticket for a malicious email attachment. The ticket will some information like the source of the log, the source IP, destination IP etc. It can be drilled down to obtain specific information like the recipient, source location, file attachment name, SHA hash of the file, source and destination port, time, mac address of the machine that downloaded it etc. This helps the analysts to go to the root of the cause and take actions easily without manually parsing them.
  • The second good thing about the LogRhythm NextGen SIEM Platform is that it is very easy to use with its well-structured interface. To use LogRhythm, an user barely require any technical skills. A little overview of IP, CIDR, hash, etc. is enough to get your hands on it. It requires no programming or coding skills, as everything is GUI based. It also provides a beautiful visualization dashboard. There is another beautiful feature that it provides for the classification of events, known as cases. Multiple users working on the same platform can create cases and add events to it. They also help to maintain future reference.
  • The third good feature is the search tool which is very powerful. For example, sometimes it is hard to find the users who downloaded a malware from the guest wireless of the institution and not the private network. The search tool helps us in searching the user by automatically correlating the MAC address from the current network logs and the previous logs as the MAC address is the same. It is highly scalable for parsing a large number of logs from various sources.
  • I particularly think this is one of the best software available for log parsing in an organization where non-technical users are working on incident response. This tool has a good amount of flexibility. However, it can only be configured with the LogRhythm NextGen SIEM Platform Console.
  • In terms of usability, as already mentioned, it is a very easy tool to use, with a GUI based interface.
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Cons
Datadog
  • In my experience, .NET Tracing Agent caused severe and untraceable performance issues
  • In my opinion, usage and billing structures were opaque and surprising
  • In my experience, documentation was incomplete, contradicting or sometimes completely wrong, even for common infrastructure (AWS Fargate)
  • I feel support was unhelpful at times, and bounced us back and forth to other teams
  • In my opinion, multiple methods of sample rate control were ineffective, adding to excessive usage and cost
Read full review
LogRhythm
  • LogRhythm absolutely needs to provide back end support for threat intelligence lists. Performing a linear search on massive lists of IPs on incoming web traffic can bring the SIEM to its knees.
  • LogRhythm should drop its entire code base for implementing lists and simply turn them into hash tables to avoid the excessive cost associated with referencing lists in rules. I haven't seen the code, but the performance suggests O(n).
  • The reporting feature is the worst of all SIEMs, luckily reports are not my primary service offering. LogRhythm should definitely revamp its reporting to be more intuitive.
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Likelihood to Renew
Datadog
Definitely will not revisit after our issues and, in my opinion, poor support.
Read full review
LogRhythm
LogRhythm is focused on SIEM. That is their core business. Cost of operations, feature set and ease of use. The Log Rhythm support team is outstanding. Overall reliability is good. Reporting module needs some improvement and LR is promising that there will be significant improvements in future releases.
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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.
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LogRhythm
LogRhythm does a rather decent job of making the functionality advanced (allowing for advanced keyword & field searching, use of "AND" as well as "OR" statements in the search bar) while keeping it accessible (by not requiring a specific syntax to do quick searches). This combined with a user interface that has headings and labels that are intuitive is very helpful.
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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.
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LogRhythm
While LogRhythm support is generally quick to respond, the initial response is usually from a first line support engineer with general knowledge of the product. Any advanced or complex issues have always required the assistance of a higher tier of support, directly or indirectly. For a few occasions we actually used our PS hours to work on the issue.
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Implementation Rating
Datadog
Documentation was difficult to work through, rollout was catastrophic (completely outage)
Read full review
LogRhythm
  • Buy professional services.
  • Buy and implement the system if possible.
  • Remember that the end point log configuration may require other teams in your company to assist you in getting the desired logs from all resources.
  • Attend the end user and daily operations training after a period of usage so you are not overwhelmed with information on concepts not yet seen.
  • Don't be afraid to call for help during your first months of use.
  • Don't close any ticket until you are sure the expected results are verified.
  • Use the community forums to discuss issues with your peers.
  • Watch the training videos offered by L R University.
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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.
Read full review
LogRhythm
LogRhythm was simpler to set up and configure as well as extract information from. It also was less intrusive in terms of how many appliances were needed to implement. We were up and running within 5 hours to start accepting log sources. We selected LogRhythm as well since support is based in the USA in Colorado.
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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.
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LogRhythm
  • It gives the overall view of the environment so we are always aware of our security position.
  • It has created operational effectiveness; we are able to rapidly detect threats and resolve it fast.
  • We have been able to track inappropriate login attempts through tickets.
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.