Datadog vs Elastic Observability comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 24, 2024
 

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
138
Ranking in other categories
Network Monitoring Software (3rd), 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
7.6
Number of Reviews
23
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of July 2024, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 9.3%, down from 12.7% compared to the previous year. The mindshare of Elastic Observability is 6.6%, up from 4.4% 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
3.8%
IT Infrastructure Monitoring
5.5%
Log Management
1.5%
 

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.
Enio Moraes - PeerSpot reviewer
Oct 5, 2023
Provides efficient data availability, but its technical support services need improvement
We use the product to monitor various data pipelines Elastic Observability helps us detect more pipeline errors. We were able to resolve 30% of the issues. It also helped us improve our e-commerce sales by 15%. The product’s most valuable feature is Kibana. We can view and connect different…

Quotes from Members

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

Pros

"Datadog has so far been a breeze to use and set up."
"The product has offered increased visibility via logging APM, metrics, RUM, etc."
"The tools are powerful and intuitive to set up."
"I really enjoy the RUM monitoring features of Datadog. It allows us to monitor user behavior in a way we couldn't before."
"The network map is crucial in identifying bottlenecks and determining what needs more attention."
"Even if we don't end up using Datadog, it revealed problems and optimizations to us that weren't obvious before."
"Datadog dashboards are pretty great."
"Because of our client focus, it is easy for us to sell. This is because it is easy to use and easy to set up."
"I have built a mini business intelligence system based on Elastic Observability."
"It is a powerful tool that allows users to collect and transform logs as needed, enabling flexible visualization and analysis."
"The solution is open-source and helps with back-end logging. It is also easy to handle."
"We can view and connect different sources to the dashboard using it."
"Its diverse set of features available on the cloud is of significant importance."
"Elastic team communicated well with us, so we decided to give it a try."
"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."
"The price is very less expensive compared to the other solutions."
 

Cons

"They could have better log reporting."
"The pricing is a bit confusing."
"I found the documentation can sometimes be confusing."
"They should continue expanding and integrating with more third-party apps."
"Lately, chat support has a longer waiting time."
"Their security features could be improved. We looked at their Security Monitoring feature but it was early in its development. Datadog are just getting into the security space so I'm sure this will improve in the future."
"The parallel editing of the dashboards should not cause users to lose the work of another person."
"Geo-data is also something very critical that we hope to see in the future."
"We did have some issues at the beginning."
"More web features could be added to the product."
"Elastic Observability needs to improve the retrieval of logs and metrics from all the instances."
"There is room for improvement regarding its APM capabilities."
"If we had some pre-defined templates for observability that we could start using right away after deploying it – instead of having to build or to change some of the dashboards – that would be helpful."
"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana."
"The price is the only issue in the solution. It can be made better and cheaper."
"Elastic Observability is reactive rather than proactive. It should act as an ITSM tool and be able to create tickets and alerts on Jira."
 

Pricing and Cost Advice

"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."
"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."
"The tool is open-source."
"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."
"It has a module-based pricing model."
"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."
"Pricing is somewhat affordable compared to other solutions but in order to really lower the costs of other products you need to plan very carefully your resources usage, otherwise, it can get expensive real quick."
"We have been using the open-source version."
"Users have to pay for some features, like the alerts on different channels, because they are unavailable in different source versions."
"Since we are a huge company, Elastic Observability is an affordable solution for us."
"There are two types: cloud and SaaS. They charge based on data ingestion, ingest rate, hard retention, and warm retention. I believe it costs around $25,000 annually to ingest 30GB of data daily. That is the SaaS version. There is also a self-managed license where the customer manages their own infrastructure on-prem. In such cases, there are three license tiers that respectively cost $5,000 annually per node, $7,000 per node, and $12,500 per node."
"The price of Elastic Observability is expensive."
"It is expensive. It is not cheap."
"Pricing is one of those situations where the more you use it, the more you pay."
"The product is not that cheap."
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Top Industries

By visitors reading reviews
Educational Organization
34%
Computer Software Company
12%
Financial Services Firm
10%
Manufacturing Company
7%
Financial Services Firm
22%
Computer Software Company
15%
Manufacturing Company
9%
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: July 2024.
793,295 professionals have used our research since 2012.