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Datadog vs Elastic Observability comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 1, 2024

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
7.2
Datadog optimizes costs, boosts efficiency, enhances debugging, saves time, and outperforms alternatives despite challenges in quantifying returns.
Sentiment score
7.1
Elastic Observability enhances efficiency by reducing incidents and costs, with 50% time savings and improved data manageability.
 

Customer Service

Sentiment score
7.3
Datadog's customer service is generally praised for responsiveness and expertise, though some users note delays and lack of phone support.
Sentiment score
7.9
Elastic Observability's customer service is praised for responsiveness, support resources, and comprehensive documentation, with stable system reducing support needs.
 

Scalability Issues

Sentiment score
7.6
Datadog offers scalable performance and customization but users should monitor rising costs and potential challenges with complex architectures.
Sentiment score
7.1
Elastic Observability offers strong scalability, receiving positive ratings, with improved performance in higher subscription tiers and cloud installations.
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 stability and reliable performance, effectively managing disruptions and supporting diverse operational needs.
Sentiment score
8.2
Elastic Observability is highly stable and dependable, with fast performance and positive user feedback across diverse environments.
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 face challenges with billing, integration, interface complexity, and desire more flexibility, support, and improved features.
Elastic Observability requires automation, improved metrics, advanced features, and better interfaces to address scalability, customization, and cost management challenges.
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's pricing varies by organization size, requiring careful monitoring and planning due to complex usage-based billing and potential hidden costs.
Elastic Observability is cost-efficient for large enterprises but can be pricey for startups, with varied deployment pricing options.
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.
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing.
 

Valuable Features

Datadog excels in real-time monitoring, intuitive interface, robust integrations, efficient alerts, and comprehensive performance tracking and system reliability.
Elastic Observability offers cost-effective, scalable logging with machine learning, customization, and seamless Kibana integration for robust monitoring and security.
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.
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
1st
Ranking in Cloud Monitoring Software
1st
Average Rating
8.6
Reviews Sentiment
7.1
Number of Reviews
187
Ranking in other categories
Network Monitoring Software (3rd), AIOps (1st), Cloud Security Posture Management (CSPM) (6th)
Elastic Observability
Ranking in Application Performance Monitoring (APM) and Observability
7th
Ranking in IT Infrastructure Monitoring
7th
Ranking in Log Management
11th
Ranking in Container Monitoring
4th
Ranking in Cloud Monitoring Software
7th
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
26
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of December 2024, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 10.1%, down from 11.7% compared to the previous year. The mindshare of Elastic Observability is 6.4%, up from 5.3% 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
38%
Computer Software Company
10%
Financial Services Firm
10%
Manufacturing Company
5%
Financial Services Firm
22%
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?
Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal. Simplifying the parsing of logs and manual efforts would also be beneficial.
 

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: November 2024.
824,053 professionals have used our research since 2012.