Datadog vs Elastic Observability comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 4, 2023
 

Categories and Ranking

Datadog
Ranking in Application Performance Monitoring (APM) and Observability
1st
Ranking in IT Infrastructure Monitoring
2nd
Ranking in Log Management
3rd
Ranking in Container Monitoring
2nd
Ranking in Cloud Monitoring Software
1st
Average Rating
8.6
Number of Reviews
137
Ranking in other categories
Network Monitoring Software (2nd), AIOps (1st), Cloud Security Posture Management (CSPM) (7th)
Elastic Observability
Ranking in Application Performance Monitoring (APM) and Observability
7th
Ranking in IT Infrastructure Monitoring
10th
Ranking in Log Management
14th
Ranking in Container Monitoring
4th
Ranking in Cloud Monitoring Software
8th
Average Rating
7.8
Number of Reviews
22
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2024, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 8.0%, down from 12.3% compared to the previous year. The mindshare of Elastic Observability is 6.8%, up from 4.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability
Unique Categories:
Network Monitoring Software
4.2%
IT Infrastructure Monitoring
4.7%
Log Management
0.9%
 

Featured Reviews

PG
Dec 6, 2022
Great monitors and APM with helpful Terraform support
Delta traces on the Golang profiler are extremely expensive concerning memory utilization. In a Kubernetes environment where we would like to set per-pod memory allocations as low as possible, the overhead of that profiler feature is prohibitive. In one case, our pods (which were provisioned to target 250 MB and max at 500 MB memory) got stuck in a crash loop due to out-of-memory, which was caused entirely by the delta profiles feature of the profiler. Multistep Datadog synthetics lack the feature of basic arithmetic. For our use case, performing basic arithmetic on the output of previous steps to produce input for subsequent steps would be extremely useful.
JN
Aug 3, 2023
An affordable solution with the text search feature, but its retrieval of logs and metrics from all the instances should be improved
Elastic Observability didn't help our organization because it was simpler for us to configure other tools, including Dynatrace and Grafana The most valuable feature of Elastic Observability is the text search. Elastic Observability needs to improve the retrieval of logs and metrics from all the…

Quotes from Members

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

Pros

"It has saved us a lot of trouble in implementation."
"I don't have to worry about upgrades with the AWS version."
"Its integration is most valuable because you can integrate it with various service providers such as AWS, .Net, etc."
"APM and tracing are super useful."
"Datadog helps us detect issues early on and helps in troubleshooting."
"The flexibility to create notebooks and dashboards and fully customize them gives us a lot of power to track the exact services and endpoints we are working on."
"I like the amount of tooling and the number of solutions they sold with their monitoring. Datadog was highly intuitive to use."
"We integrate our application logs. It is great to be able to tie our metrics and our traces together."
"We use AppDynamics and Elastic. The reason why we're using Elastic APM is because of the license count. It's very favorable compared to AppDynamics. It's inexpensive; it's economical."
"Machine learning is the most valuable feature of this solution."
"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."
"Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning over a month from multiple data sources can be completed within seconds."
"The solution has been stable in our usage."
"The most valuable feature of Elastic Observability is the text search."
"The architecture and system's stability are simple."
"The solution is open-source and helps with back-end logging. It is also easy to handle."
 

Cons

"The logging could be improved in the future."
"The setup was a bit complex."
"I've only been using Datadog for a few months, and at first, it was frankly overwhelming in terms of both the UI and the available capabilities."
"We primarily use the log management functionality, and the only feedback I have there is better fuzzy text searching in logs (the kind that Kibana has)."
"We want to reduce having to go to different screens to obtain all the information."
"At the beginning, when we started throwing logs at it, there was a bit of hiccup. However, this was during their beta period, so hiccups were expected."
"It would be great if usage metrics were automatically created and we could create custom metrics, instead we ended up building some of our own stuff to track and alert on our own usage."
"The FinOps needs improvement."
"Elastic Observability needs to have better standardization, logging, and schema."
"Elastic Observability is difficult to use. There are only three options for customization but this can be difficult for our use case. We do not have other options to choose the metrics shown, such as CPU or memory usage."
"Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would be beneficial."
"Elastic Observability needs to improve the retrieval of logs and metrics from all the instances."
"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."
"The price is the only issue in the solution. It can be made better and cheaper."
"They need more skills in the market. There are not enough skills in the market. It is not pervasive enough on the market, in my opinion. In other words, there isn't a big enough user base."
"Elastic APM's visualization is not that great compared to other tools. It's number of metrics is very low."
 

Pricing and Cost Advice

"At my last company, we did see ROI, specifically around response time. We could get to mission critical things that were down and losing revenue on immediately. So, the product paid itself back."
"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."
"Datadog does not provide any free plans to use the solution. When I start with a proof of concept it would be sensible to have a free plan to test the tool and check whether it fits the requirements of the project. Before the production stage, it is always good to have a free plan with some limited features, number of requests, or logs."
"It costs the same amount it would if we were hosting it ourselves, so we are incredibly happy with the cost."
"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."
"Licensing is based on the retention period of logs and metrics."
"While it is an expensive product, I would rate the pricing level at four out of five."
"Our licensing fees are paid on a monthly basis."
"We have been using the open-source version."
"The product is not that cheap."
"We will buy a premium license after POC."
"Users have to pay for some features, like the alerts on different channels, because they are unavailable in different source versions."
"One needs to pay for the licenses, and it is an annual subscription model right now."
"So far, there are just the standard licensing fees. Several of the components are embedded in the license or are even open source. They're even free depending on what you use, which makes it even more appealing to someone that is discussing pricing of the solution."
"Pricing is one of those situations where the more you use it, the more you pay."
"Since we are a huge company, Elastic Observability is an affordable solution for us."
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Top Industries

By visitors reading reviews
Educational Organization
33%
Computer Software Company
12%
Financial Services Firm
10%
Manufacturing Company
7%
Financial Services Firm
21%
Computer Software Company
15%
Manufacturing Company
8%
Healthcare Company
6%
 

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 Elastic Observability?
Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning...
What is your experience regarding pricing and costs for Elastic Observability?
I rate the pricing a five out of ten. The product is not that cheap.
What needs improvement with Elastic Observability?
The tool's scalability involves a more complex implementation process. It requires careful calculations to determine the number of nodes needed, the specifications of each node, and the configurati...
 

Comparisons

 

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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
PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
Find out what your peers are saying about Datadog vs. Elastic Observability and other solutions. Updated: June 2024.
789,728 professionals have used our research since 2012.