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Datadog vs Graylog comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 6, 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
187
Ranking in other categories
Application Performance Monitoring (APM) and Observability (1st), Network Monitoring Software (3rd), IT Infrastructure Monitoring (2nd), Container Monitoring (1st), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (8th)
Graylog
Ranking in Log Management
15th
Average Rating
8.0
Reviews Sentiment
7.2
Number of Reviews
21
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2025, in the Log Management category, the mindshare of Datadog is 6.0%, down from 8.0% compared to the previous year. The mindshare of Graylog is 6.7%, up from 5.8% 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.
Ivan Kokalovic - PeerSpot reviewer
Facilitates backend service monitoring with efficient log retrieval and API flexibility
Graylog is valuable because it bridges technical knowledge to non-technical teams, presenting complex backend processes in a simple timeline. It boosts the knowledge of sales and customer support teams by allowing them to see the backend operations without needing to read the code. Its API is flexible for visualization, and its powerful search engine efficiently handles large volumes of log data. Moreover, its stability, fast search capabilities, and compatibility with languages like ANSI SQL enhance its utility in IT infrastructure.

Quotes from Members

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

Pros

"Datadog infrastructure monitoring has helped us identify health issues with our virtual machines, such as high load, CPU, and disk usage, as well as monitoring uptime and alerting when Kubernetes containers have a bad time staying up."
"We have been impressed with the uptime and clean and light resource usage of the agents."
"Being able to filter requests by latency is invaluable, as it provides immediate insight into which endpoints require further analysis and optimization."
"The ability to easily drill down into log queries quickly and efficiently has helped us to resolve several critical incidents."
"Customizable views as well as the ability to "dive in" when we see someting anomalous has improved the workflow for handling incidents."
"We really like the charts and visualization."
"The infrastructure monitoring capabilities, especially for our Kubernetes clusters, have helped us optimize resource allocation and reduce costs."
"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."
"What I like about Graylog is that it's real-time and you have access to the raw data. So, you ingest it, and you have access to every message and every data item you ingest. You can then build analytics on top of that. You can look at the raw data, and you can do some volumetric estimations, such as how big traffic you have, how many messages of data of a type you have, etc."
"The solution's most valuable feature is its new interface."
"The best feature of Graylog is the Elasticsearch integration. We can integrate and we can run filters, such as an event of interest, and those logs we can send to any SIEM tool or as an analytic. Additionally, there are clear and well-documented implementation instructions on their website to follow if needed."
"UDP is a fast and lightweight protocol, perfect for sending large volumes of logs with minimal overhead."
"The Graylog features that have proven to be most beneficial for our data analysis in particular are that we tend to use it as a big data store, so we have the correlation rules that, if something matches under certain conditions, it raises an alarm."
"The product is scalable. The solution is stable."
"Allowing us to set up alerts and integrate with platforms we already use, such as Slack and OpsGenie to alert users of these errors proactively, is also a very useful feature."
"I like the correlation and the alerting."
 

Cons

"The on-premise version is very difficult to upgrade."
"Sometimes, it takes a long time to load the dashboard if we have many charts."
"The cost is pretty high."
"The PagerDuty integration could be a little bit better."
"We have recently had a number of issues with stability and delays on logging, monitoring, metric evaluation, and alerts."
"The setup was a bit complex."
"I would also like to see an improvement in the server's data extraction times, as sometimes it can take up to ten minutes to download a report for a critical issue that is costing us money."
"I found the solution to be stable, I did not experience any bugs or glitches. However, some of the managing team did."
"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."
"Elasticsearch recommendations for tuning could be better. Graylog doesn't have direct support for running the system inside of Kubernetes, so it can be challenging to fill in the gaps and set up containers in a way that is both performant and stable."
"More complex visualizations and the ability to execute custom Elasticsearch queries would be great."
"It would be great if Graylog could provide a better Python package in order to make it easier to use for the Python community."
"Graylog could improve the process of creating rules. We have to create them manually by doing parses and applying them. Other SIEM solutions have basic rules and you can create and get more events of interest."
"I would like to see a default dashboard widget that shows the topology of the clusters defined for the graylog install."
"Graylog needs to improve their authentication. Also, the fact that Graylog displays logs from the top down is just ridiculous."
"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."
 

Pricing and Cost Advice

"The price of Datadog is reasonable. Other solutions are more expensive, such as AppDynamics."
"My advice is to really keep an eye on your overage costs, as they can spiral really fast."
"Our licensing fees are paid on a monthly basis."
"The pricing came up a bit compared to their competitors. It is not that the price has risen, but that the competitors have gone down. They keep adding more features that I would have expected to be baked in at a more nominal price. I have been increasingly dissatisfied with the pricing, but not enough to jump ship."
"It didn't scale well from the cost perspective. We had a custom package deal."
"While it is an expensive product, I would rate the pricing level at four out of five."
"The solution's pricing depends on project volume."
"Pricing seemed easy until the bill came in and some things were not accounted for."
"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."
"​You get a lot out-of-the-box with the non-enterprise version, so give it a try first."
"Having paid official support is wise for projects."
"We are using the free version of the product. However, the paid version is expensive."
"I am using a community edition. I have not looked at the enterprise offering from Graylog."
"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."
"It's open source and free. They have a paid version, but we never looked into that because we never needed the features of the paid version."
"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
27%
Computer Software Company
12%
Financial Services Firm
11%
Manufacturing Company
6%
Computer Software Company
18%
Comms Service Provider
10%
Educational Organization
7%
Government
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?
I am not familiar with the pricing details of Graylog, as I was not responsible for that aspect. It was determined that we didn't need an enterprise plan, which is more suited for clients with less...
What needs improvement with Graylog?
An improvement I would suggest is in Graylog's user interface, such as allowing for font size adjustments. A potential enhancement could be the integration with Ollama to run large language models ...
 

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: April 2025.
851,604 professionals have used our research since 2012.