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Datadog vs Graylog comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 5, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Datadog
Ranking in Log Management
3rd
Average Rating
8.6
Reviews Sentiment
7.1
Number of Reviews
188
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), Network Monitoring Software (3rd), IT Infrastructure Monitoring (2nd), Container Monitoring (2nd), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (7th)
Graylog
Ranking in Log Management
16th
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
19
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of March 2025, in the Log Management category, the mindshare of Datadog is 6.2%, down from 8.6% compared to the previous year. The mindshare of Graylog is 6.4%, up from 5.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Log Management
 

Featured Reviews

Kevin Palmer - PeerSpot reviewer
Useful log aggregation and management with helpful metrics aggregation
Datadog provides us value in three major ways: First, Datadog provides best-in-class functionality in many, if not all, of the products to which we subscribe (infrastructure, APM, log management, serverless, synthetics, real user monitoring, DB monitoring). In my experience with other tools that provide similar functionality, Datadog provides the largest feature set with the most flexibility and the best performance. Second, Datadog allows us to access all of those services in one place. Having to learn and manage only one tool for all of those purposes is a major benefit. Third, Datadog provides significant connectivity between those services so that we can view, summarize, organize, translate and correlate our data with maximum effect. Not needing to manually integrate them to draw lines between those pieces of information is a huge time savings for us.
Andrey Mostovykh - PeerSpot reviewer
Real-time analysis, easy setup, and open source
We stopped using it for analytics because of its price, and at the moment, we are using it mostly for log centralization. If you use it with high traffic for analytical purposes, as well as for the logs, the infrastructure costs are unbelievable. Graylog is a great product backed by Elasticsearch as the storage and query engine. It is just an interface on top of Elasticsearch and some Elasticsearch management. The indexes that are kept in Elasticsearch are managed by Graylog software. Elasticsearch is a decent product, but it's very infrastructure-heavy. It requires lots of resources, and if you make a mistake with provisioning, you are likely to not get a cluster back. We had a couple of outages like that, and we hated that. So, we ended up over-provisioning resources just to avoid such situations from happening. If you have a whole team trying to fix the Graylog instance for two days, that's a bit too much. That may be my Norwegian take on it, but the engineering resources are expensive. It's better to just provision the infrastructure. Overall, the product is great, and the features are just fine, but the infrastructure cost is what is killing it. The infrastructure cost is the main issue. I like the rest. If the infrastructure costs could be lower, it would be fantastic. I'm not sure if they can improve the infrastructure cost with the way Elasticsearch is. If they keep using Elasticsearch, maybe there are some opportunities there, or they can support other backends with cheaper storage. They could have a different backend to replace Elasticsearch or do some tweaks to Elasticsearch to reduce the costs. There could be partial parsing of logs or parsing on demand so that when you write data through Graylog to Elasticsearch, it doesn't need to crunch in every detail requiring that much CPU.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Customizable views as well as the ability to "dive in" when we see someting anomalous has improved the workflow for handling incidents."
"The ease of graph building is nice, and MUCH easier than Prometheus."
"The selection of monitors is a big feature I have been working with."
"The observability on offer is the most useful aspect of the product."
"Real user monitoring gives us invaluable insights into actual user experiences, helping us prioritize improvements where they matter most."
"Being able to filter requests by latency is invaluable, as it provides immediate insight into which endpoints require further analysis and optimization."
"Sometimes it's more user friendly for development teams. There are some parts of Datadog that are more understandable for development teams. For example, the APM in Datadog works more manually and works like the tools in New Relic or Grafana, or Elastic. It is easier to understand for software development teams."
"I like that you can build out a dashboard pretty quickly. There are some things that come out of the box that you don't really need to do, which is great because they're default settings."
"UDP is a fast and lightweight protocol, perfect for sending large volumes of logs with minimal overhead."
"Storing logs in Elasticsearch means log retrieval is extremely fast, and full text search is available by default."
"Open source and user friendly."
"One of the most valuable features is that you are able to do a very detailed search through the log messages in the overview."
"Graylog is very handy."
"We run a containerized microservices environment. Being able to set up streams and search for errors and anomalies across hundreds of containers is why a log aggregation platform like Graylog is valuable to us."
"Real-time UDP/GELF logging and full text-based searching."
"I am very proud of how very stable the solution is."
 

Cons

"I'd like to see an expansion of the Android and IOS apps to have a simplified CI/CD pipeline history view."
"Delta traces on the Golang profiler are extremely expensive concerning memory utilization."
"The pricing should be less of a surprise."
"The on-premise version is very difficult to upgrade."
"One area where the product could be improved is Application Performance Monitoring (APM)."
"One key improvement we would like to see in a future Datadog release is the inclusion of certain metrics that are currently unavailable. Specifically, the ability to monitor CPU and memory utilization of AWS-managed Airflow workers, schedulers, and web servers would be highly beneficial for our organization."
"The Log Explorer could be better. I don't think it has log manipulation as Splunk does."
"In some ways, the tool has a pretty steep learning curve. Discovering the various capabilities available, then learning how to utilize them for particular use cases can be challenging."
"I would like to see a date and time in the Graylog Grok patterns so that I can save time when searching for a log. I like how the streams and the search query work, but adding a date and time will allow me to pull out a log in a milli-second."
"The biggest problem is the collector application, as we wanted to avoid using Graylog Collector Sidecar due to its architecture."
"Graylog can improve the index rotation as it's quite a complex solution."
"Since container orchestration systems are popular and Graylog fits the niche well, perhaps they could officially support running in docker containers on Kubernetes as a StatefulSet as a use case. That way, the declarative nature of Kubernetes config files would document their best case deployment scenario-"
"Dashboards, stream alerts and parsing could be improved."
"I hope to see improvements in Graylog for more interactivity, user-friendliness, and creating alerts. The initial setup is complex."
"When it comes to configuring the processing pipeline, writing the rules can be very tedious, especially since the documentation isn't extensive on how the functions provided for these rules work."
"Over six months, I had two similar issues where searches were performed on field "messages". It exhausted all the memory of the ES node causing an ES crash and a Graylog halt."
 

Pricing and Cost Advice

"This solution is budget friendly."
"I am not satisfied with its licensing. Its payment is based on the exported data, and there was an explosion of the data for three or four weeks. My customer was not alerted, and there was no way for them to see that there has been an explosion of data. They got a big invoice for one or two months. The pricing model of Datadog is based on the data. The customer was quite surprised about not being alerted about this explosion of data. They should provide some kind of alert when there is an increase in usage."
"It didn't scale well from the cost perspective. We had a custom package deal."
"My advice is to really keep an eye on your overage costs, as they can spiral really fast."
"Sometimes it's very hard to project how much it will cost for the monthly subscription for the next month when you add certain features. Having better visibility of the cost would give a better experience."
"It costs the same amount it would if we were hosting it ourselves, so we are incredibly happy with the cost."
"The pricing and licensing through AWS Marketplace has been good. It would be nice if it was cheaper, but their pricing is reasonable for what it is. Sometimes, for their newer features, they charge as if it's fully fleshed out, even though it is a newer feature and it may have less stuff than their other items."
"They prefer monthly subscriptions."
"Consider Enterprise support if you have atypical needs or setup requirements.​"
"Graylog is a free open-source solution. The free version has a capacity limitation of 2 GB daily, if you want to go above this you have to purchase a license."
"Having paid official support is wise for projects."
"We are using the free version of the product. However, the paid version is expensive."
"There is an open source version and an enterprise version. I wouldn't recommend the enterprise version, but as an open source solution, it is solid and works really well."
"I am using a community edition. I have not looked at the enterprise offering from Graylog."
"We're using the Community edition."
"It's an open-source solution that can be used free of charge."
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Top Industries

By visitors reading reviews
Educational Organization
37%
Computer Software Company
10%
Financial Services Firm
10%
Manufacturing Company
5%
Computer Software Company
17%
Comms Service Provider
10%
Government
8%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

Any advice about APM solutions?
There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...
Datadog vs ELK: which one is good in terms of performance, cost and efficiency?
With Datadog, we have near-live visibility across our entire platform. We have seen APM metrics impacted several times lately using the dashboards we have created with Datadog; they are very good c...
Which would you choose - Datadog or Dynatrace?
Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was the better fit for us. We decided to go with Dynatrace. Dynatrace offers network ...
What do you like most about Graylog?
The product is scalable. The solution is stable.
What is your experience regarding pricing and costs for Graylog?
We are using the free version of the product. However, the paid version is expensive.
What needs improvement with Graylog?
When it comes to configuring the processing pipeline, writing the rules can be very tedious, especially since the documentation isn't extensive on how the functions provided for these rules work. P...
 

Comparisons

 

Also Known As

No data available
Graylog2
 

Overview

 

Sample Customers

Adobe, Samsung, facebook, HP Cloud Services, Electronic Arts, salesforce, Stanford University, CiTRIX, Chef, zendesk, Hearst Magazines, Spotify, mercardo libre, Slashdot, Ziff Davis, PBS, MLS, The Motley Fool, Politico, Barneby's
Blue Cross Blue Shield, eBay, Cisco, LinkedIn, SAP, King.com, Twilio, Deutsche Presse-Agentur
Find out what your peers are saying about Datadog vs. Graylog and other solutions. Updated: March 2025.
842,592 professionals have used our research since 2012.