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Datadog vs Elastic Observability comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 5, 2025

Review summaries and opinions

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

ROI

Sentiment score
7.1
Datadog enhances efficiency, reduces downtime, and improves ROI by tracking instances, visualizing trends, and resolving performance issues.
Sentiment score
7.1
Elastic Observability enhances cost-effectiveness, reduces incidents, and improves efficiency, yielding significant time savings and operational benefits.
 

Customer Service

Sentiment score
7.3
Datadog's customer service is proactive and knowledgeable, but technical support quality varies with occasional delays and inconsistencies.
Sentiment score
7.7
Elastic Observability's support is praised for prompt, efficient service and effective community-driven insights, enhancing overall user experience.
 

Scalability Issues

Sentiment score
7.6
Datadog efficiently scales with infrastructure demands, offering seamless integration and reliability, though cost management is essential.
Sentiment score
7.1
Elastic Observability is efficiently scalable, with performance stability across varying team sizes, influenced by subscription level and infrastructure.
Elastic Observability seems to have a good scale-out capability.
What is not scalable for us is not on Elastic's side.
 

Stability Issues

Sentiment score
8.0
Datadog is praised for its reliable stability, minimal disruptions, quick issue resolution, and efficient large-scale data handling.
Sentiment score
8.2
Elastic Observability is praised for its robust and stable performance, efficiently handling large data volumes across industries.
It is very stable, and I would rate it ten out of ten based on my interaction with it.
Elastic Observability is really stable.
 

Room For Improvement

Datadog users desire performance improvements, consistent APIs, clearer pricing, better support, enhanced features, and more user-friendly documentation and interface.
Elastic Observability needs better licensing, visualization, automation, integration, pricing, AI features, customization, and support for observability and cost transparency.
The documentation is adequate, but team members coming into a project could benefit from more guided, interactive tutorials, ideally leveraging real-world data.
There should be a clearer view of the expenses.
It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side.
One example is the inability to monitor very old databases with the newest version.
Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal.
 

Setup Cost

Datadog offers flexible, usage-based enterprise pricing, focusing on host count and log ingestion, requiring careful management to control costs.
Elastic Observability offers competitive pricing with variable costs, favoring enterprises over startups, requiring premiums for advanced features.
The setup cost for Datadog is more than $100.
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
The license is reasonably priced, however, the VMs where we host the solution are extremely expensive, making the overall cost in the public cloud high.
 

Valuable Features

Datadog excels with integration, customizable dashboards, and monitoring, offering streamlined setup, centralized data, and enhanced user insights.
Elastic Observability offers scalable logging, seamless integrations, real-time visualization, and enhances system performance with a user-friendly, open-source model.
Our architecture is written in several languages, and one area where Datadog particularly shines is in providing first-class support for a multitude of programming languages.
The technology itself is generally very useful.
The most valuable feature is the integrated platform that allows customers to start from observability and expand into other areas like security, EDR solutions, etc.
the most valued feature of Elastic is its log analytics capabilities.
All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important.
 

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
Reviews Sentiment
7.1
Number of Reviews
188
Ranking in other categories
Network Monitoring Software (3rd), AIOps (1st), Cloud Security Posture Management (CSPM) (8th)
Elastic Observability
Ranking in Application Performance Monitoring (APM) and Observability
7th
Ranking in IT Infrastructure Monitoring
7th
Ranking in Log Management
14th
Ranking in Container Monitoring
4th
Ranking in Cloud Monitoring Software
7th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
26
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 9.0%, down from 11.7% compared to the previous year. The mindshare of Elastic Observability is 5.8%, up from 5.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability
 

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.
Adelina Craciun - PeerSpot reviewer
Customization enables tailored monitoring and alerting across departments
The possibility to customize it has been quite useful. Whatever the other departments want to dream up, we implement. Whatever they want to monitor, the granularity of it, the changes in the threshold, and the anomalies that they want reported all require some development. So far, every single request has been fulfilled.
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Top Industries

By visitors reading reviews
Educational Organization
39%
Computer Software Company
10%
Financial Services Firm
10%
Manufacturing Company
5%
Financial Services Firm
21%
Computer Software Company
15%
Manufacturing Company
8%
Government
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?
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing. However, sizing and licensing information could be clearer.
What needs improvement with Elastic Observability?
Of course, maintenance is necessary, as with any software, requiring updates with the latest features and security enhancements. It lacked some capabilities when handling on-prem devices, like netw...
 

Comparisons

 

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: February 2025.
838,640 professionals have used our research since 2012.