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.
"The many dozens of integrations that the solution brings out of the box are excellent."
"It has saved us a lot of trouble in implementation."
"It is easy to navigate the menu and create tests."
"Datadog provides tracing and logging, whereas Dynatrace focuses on tracing, and Splunk is more of a logging tool. Datadog's advantage is that we don't need two tools."
"It helps us better manage our logs."
"I have found error reporting and log centralization the most valuable features. Overall, Datadog provides a full package solution."
"Even if we don't end up using Datadog, it revealed problems and optimizations to us that weren't obvious before."
"It provides more cloud data. They tend to just get the way a service would be designed on the cloud."
"It's not very complicated to install Elastic."
"The solution is quite stable. The performance has been good."
"The most valuable thing is that this solution is widely used for work management and research. It's easy to jump into the security use case with the same technology."
"Elastic is straightforward, easy to integrate, and highly customizable."
"We like Elastic Security because it's a REST API-based solution. That's the primary reason we use it."
"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."
"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."
"The most valuable feature is the machine learning capability."
"It would also be nice if we had more insight into our own usage of Datadog (agents and custom metrics). They provide a usage page which does help, but it is not in real-time."
"Federated views for Datadog dashboards are critical as large companies utilize multiple instances of the product and cannot link the metrics or correlate the metrics together. This stunts the usage of Datadog."
"I'm still exploring the trial version, and it is fine. One thing that I haven't been able to figure out is how to retrieve a report. This is something that could be improved. I probably need to navigate to a place to access the reports."
"The way data is represented can be limiting. When I first tried it out a long time ago, you could graph a metric and another metric, and they'd overlay, but you couldn't take the ratio between the two."
"Once agents are connected to the Datadog portal, we should be able to upgrade them quickly."
"The error traceability is an area that can be improved."
"The pricing should be less of a surprise."
"Delta traces on the Golang profiler are extremely expensive concerning memory utilization."
"Elastic Security could improve the documentation. It would help if they were more simple and clean."
"This type of monitoring is not very mature just yet. We need more real-time information in a way that's easier to manage."
"It would be better if Elastic Security had less storage for data. My customers do not like this. Other vendors have local support in different countries, but Elastic Security doesn't. I would like to have Operational Technology (OT) security in the next release."
"With Elastic, you have to build the use cases for the specific requirement. Other products have a simple integration and more use cases to integrate out-of-the-box solutions for SIEM."
"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."
"If you compare this with CrowdStrike or Carbon Black, they can improve."
"We'd like to see some more artificial intelligence capabilities."
"Its documentation should be a bit better. I have to spend at least a couple of hours to find the solution for a simple thing. When we buy Elastic, training is not included for free with Elastic. We have to pay extra for the training. They should include training in the price."
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.
We monitor all Log Management reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
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?