We performed a comparison between Datadog and Elastic Security (formerly ELK Logstash) based on our users’ reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Datadog and Elastic Security have a similar user rating for ease of deployment, and users of both felt that the solutions were expensive. Users felt Elastic Security took too long to respond when it came to service and support. In terms of features, reviewers of Datadog had a problem with stability and felt there wasn’t enough monitoring through their dashboard. Reviewers of Elastic Security said they had difficulty retrieving data and felt the solution should offer predictive maintenance.
"By moving to Datadog, we did not need to manage our own monitoring infrastructure anymore."
"The ability to send notifications based on metadata from the monitor is helpful."
"The most valuable aspect is for us to have everything in one place."
"The management of SLOs and their related burn-rate monitors have allowed us to onboard teams to on-call fast."
"I have found the logging and tracing features the most valuable."
"The most valuable feature is the dashboards that are provided out of the box, as well as ones we were able to configure."
"Their interface is probably one of the easiest things to use because it lets non-developers and non-engineers quickly get access to metrics and pull business value out of them. We could put together dashboards and give it to people who are non-technical, then they can see the state of the world."
"The most valuable feature of Datadog is its logs."
"Just the ability to do a lot more than just up-down is nice, which a lot of people take for granted."
"Elastic provides the capability to index quickly due to the reverse indexes it offers. This data is crucial as it contains critical information. The reverse index allows fast data indexing because of Elastic's efficient search engine."
"Elastic has a lot of beats, such as Winlogbeat and Filebeat. Beats are the agents that have to be installed on the terminals to send the data. When we install beats or Elastic agents on every terminal, they don't overload the terminals. In other SIEM solutions such as Splunk or QRadar, when beats or agents are installed on endpoints, they are very heavy for the terminals. They consume a lot of power of the terminals, whereas Elastic agents hardly consume any power and don't overload the terminals."
"It's a good platform and the very best in the current market. We looked at the Forester report from December 2022 where it was said to be a leader."
"It's simple and easy to use."
"The most valuable feature is the scalability. We are in Indonesia, more engineers understand Elastic Security here. So it is easier to scale and also develop. In features, the discovery to query all the logs is very important to us. It is very easy, especially with the query function and the feature to generate alerts and create tools. Sometimes we use the alert security dashboard to monitor our clients."
"Elastic Security is a highly flexible platform that can be implemented anywhere."
"What customers found most valuable in Elastic Security feature-wise is the search capability, in particular, the way of writing the search query and the speed of searching for results."
"The real issue with this product is cost control."
"Datadog could always lower the price!"
"Additional metrics should be included."
"I found the documentation can sometimes be confusing."
"Datadog has a lot of features kind of cramped into one dashboard. It's quite hard to get around what feature does exactly what. There was a steep learning curve, trying to navigate through menus."
"We have contact with many customers that cover many areas, so we have cases where the infrastructure administration could be improved."
"I found the solution to be stable, I did not experience any bugs or glitches. However, some of the managing team did."
"I find the training great. That said, it is set for the LCD (lowest common denominator). Of course, this is very helpful to sell the product, yet, to really utilize the product, you need to get more detailed."
"If the documentation were improved and made more clear for beginners, or even professionals, then we would be more attracted to this solution."
"The problem with ELK is it's difficult to administer. When you have a problem, it can be very, very difficult to rebuild indexes."
"This solution cannot do predictive maintenance, so we have to build our own modules for doing it."
"There is an area of improvement in the Logs list. The load list may need to be paginated as there are limits."
"The interface could be more user friendly because it is sometimes hard to deal with."
"Elastic Security's maintenance is hard and its scalability is a challenge. There are complications in scaling and upgrading. The solution needs to also provide periodic upgrade checks."
"The process of designing dashboards is a little cumbersome in Kibana. Unless you are an expert, you will not be able to use it. The process should be pretty straightforward. The authentication feature is what we are looking for. We would love to have a central authentication system in the open-source edition without the need for a license or an enterprise license. If they can give at least a simple authentication system within a company. In a large organization, authentication is very essential for security because logs can contain a lot of confidential data. Therefore, an authentication feature for who accesses it should be there."
"One thing they could add is a quick step to enable users who don't have a solid background to build a dashboard and quickly search, without difficulty."
Datadog is ranked 3rd in Log Management with 137 reviews while Elastic Security is ranked 5th in Log Management with 59 reviews. Datadog is rated 8.6, while Elastic Security is rated 7.6. The top reviewer of Datadog writes "Very good RUM, synthetics, and infrastructure host maps". On the other hand, the top reviewer of Elastic Security writes "A stable and scalable tool that provides visibility along with the consolidation of logs to its users". Datadog is most compared with Dynatrace, Azure Monitor, New Relic, AWS X-Ray and Elastic Observability, whereas Elastic Security is most compared with Wazuh, Splunk Enterprise Security, Microsoft Sentinel, IBM Security QRadar and Microsoft Defender for Endpoint. See our Datadog vs. Elastic Security report.
See our list of best Log Management vendors.
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It depends on your requirement. If you are looking for a SIEM/log management solution ELK would be a better option.
But if you are looking for more of a monitoring solution Datadog would be better. Also, Datadog provides out-of-the-box integrations with a lot of cloud applications. ELK could be cost-effective but a bit challenging to configure & finetune.
Datadog: Unify logs, metrics, and traces from across your distributed infrastructure. Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!
Datadog features offered are:
200+ turn-key integrations for data aggregation
Clean graphs of StatsD and other integrations
Elasticsearch: Open Source, Distributed, RESTful Search Engine. Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
Elasticsearch provides the following key features:
Distributed and Highly Available Search Engine.
Multi Tenant with Multi Types.
Various set of APIs including RESTful
Dear,
Unfortunately, I can't say much about Datadog but I have used ELK for a short period.
And I can tell you not everything works the way it should. For example, I noticed heavy CPU usage for a Windows client on MS AD servers. I advise you to consider this if it's important to you.
Good luck!
Where do you want to spend your money, on people or licenses?
ELK requires a long-term investment in engineering resources to manage the system and to provide the capability.
Datadog provides capabilities for you so you only need some administrators. What are the capabilities? Some critical ones include availability, scalability, consuming log files, platform upgrades, ...
If you are consuming smaller data sets (100's of GB) with shorter retention, the size and scaling are much easier making ELK easier.
Do you have admins or engineers? If your team doesn't have dedicated time & skills to spend developing solutions like elastic-alert you should look for a vendor to provide capabilities.
I expect some capabilities in Datadog you will not be able to replicate in ELK.... so that answer makes this obvious.
We are going to evaluate the same for our org. We do about 10 TB a day consumption in ELK and are looking to see if we can shift $$$ from engineers and infra to SaaS.
I have used both ELK and Datadog, and there are lots of variables to consider here. The three important points that I looked at are:
- Cost. In addition to service costs, you have to consider egress and ingress costs as well.
- Real-time observability that you need during development vs long-term Observability. Keep in mind, when you export data over the internet, it comes with the same reliability issues as any other service on the internet. Regardless of how Datadog classifies its service as real-time, it is not real-time, IMO. It very much depends on your definition of real-time.
- Deployment and maintenance complexity. When your ELK cluster grows it has some pain points you need to be aware of.
My general approach is to deploy ELK for development, tune the data, and then pivot toward commercial solutions if I need to. This gives you insight into your data and what you should be preserving and that way you are not paying high costs, when or if you do decide to take advantage of a commercial solution.
Can you tell me what you actually want to do so that I can help you?