Datadog Customer Reviews 2025 | AIOps

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Datadog

Composite Score

7.7 /10

CX Score

8.0 /10

28 Reviews Write a Review

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What is Datadog?

Datadog is a monitoring service for hybrid cloud applications, assisting organizations in improving agility, increasing efficiency, and providing end-to-end visibility across the application and organization. Datadog is the essential monitoring platform for cloud applications that brings together data from servers, containers, databases, and third-party services to make your stack entirely observable. These capabilities help DevOps teams avoid downtime, resolve performance issues, and ensure customers are getting the best user experience.

Company Details

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Awards & Recognition

Datadog won the following awards in the AIOps category

Filter By

2 Top Rated Capabilities

5 Top Rated Features

Latest Award, 2025

Contract Negotiation
Conflict Resolution

2025

2 Top Rated Capabilities

3 Top Rated Features

2024

Product Impact
Conflict Resolution

2024

2023 Data Quadrant Champion

2023

6 Top Rated Capabilities

3 Top Rated Features

2023

2023 Emotional Footprint Champion

2023

Product Impact
Conflict Resolution

2023

0 Top Rated Capabilities

2 Top Rated Features

2022

Conflict Resolution

2022

Datadog Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Datadog.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

90 Likeliness to Recommend

1
Since last award

94 Plan to Renew

2
Since last award

83 Satisfaction of Cost Relative to Value

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Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+91 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Datadog?

8% Negative

7% Neutral

85% Positive

Pros

Continually Improving Product
Acts with Integrity
Fair
Altruistic

Feature Ratings

Average 79

Security Operations Automation

Analyze Activity Data

Data Visualization

Operational Task Automation

Incident Management Automation

Event & Alert Management Automation

Machine Learning

Analyze Discovery Data

Explainable and Trainable Algorithms

Performance & Capacity Management Automation

Problem Management Automation

Vendor Capability Ratings

Average 80

Breadth of Features

Ease of Implementation

Vendor Support

Usability and Intuitiveness

Ease of Data Integration

Ease of IT Administration

Business Value Created

Quality of Features

Ease of Customization

Availability and Quality of Training

Product Strategy and Rate of Improvement

Also Featured in...

Systems Management

Score 8.4

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Application Performance Monitoring - Enterprise

Score 8.3

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Network Monitoring - Enterprise

Score 8.2

View Datadog in this category (opens in a new tab)

IoT Management

Score 8.0

View Datadog in this category (opens in a new tab)

Datadog Reviews

Amit K.

Role: Information Technology
Industry: Technology
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Nov 2024

Robust software for all your observability needs

Likeliness to Recommend

9 /10

What differentiates Datadog from other similar products?

its very easy to setup and extensive guides on its various capabilities its also super important for observability software to be very reliable other wise you can't find the critical issues in your system real-time, and in my experience i never saw the disruption to the DataDog(DD) service which enabled me to do many production RCAs effectively, while I faced few issues with other open-source and proprietary softwares. Also DD has very intuitive UI/UX which makes it very user friendly

What is your favorite aspect of this product?

its Out of the box integration with many softwares and cloud providers to see all the infra and application metrics and highly customisable dashboards and integration with many alerting systems. and very good explanation about the metrics provides for Out of the box integration with other softwares like kafka, Elasticsearch etc

What do you dislike most about this product?

its cost and when you want to customize or add new metrics for your application its not very straightforward like its in prometheus and documentation and guides needs more better examples for adding the custom metrics.

What recommendations would you give to someone considering this product?

have trial accounts with DD and other observability softwares and evaluate their features based on your needs and budget before making the final decision

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Amit K.

Role: Information Technology
Industry: Technology
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Jun 2023

Bit pricy and now they now have strong competitors

Likeliness to Recommend

7 /10

What differentiates Datadog from other similar products?

its a proprietary solution hence it has many enterprises features missing in the open source softwares, Also since it was started early and gained more popularity and adoption hence it has large user-base and more features

What is your favorite aspect of this product?

Out of the box integration with most of the popular softwares which makes it very popular as it can be just setup very fast and can cover your entire software eco-system

What do you dislike most about this product?

its rate of innovation is slowed down and now there are few competitors giving unique features at a very less price

What recommendations would you give to someone considering this product?

Check new modern age observability softwares and compare their features and what you need, this way you can save huge cost and pay for what you actually need

Pros

Continually Improving Product
Performance Enhancing
Enables Productivity
Saves Time

Cons

Less Effective Service
Leverages Incumbent Status

shivaling p.

Role: Information Technology
Industry: Technology
Involvement: Business Leader or Manager

Validated Review

Verified Reviewer

Submitted Jun 2023

Modern observability tool for modern apps!

Likeliness to Recommend

9 /10

What differentiates Datadog from other similar products?

It has support for a wide variety of industries like healthcare, education and technology which makes its impact area large.

What is your favorite aspect of this product?

my favourite aspect is that it enables and supports modern methodologies like devops and devsecops.

What do you dislike most about this product?

what i dislike is it has support for minimum number if public cloud providers which leaves out a large number of potential adopters.

What recommendations would you give to someone considering this product?

i would recommend this for mission critical applications which have a modern observability stack in place.

Pros

Performance Enhancing
Generous Negotitation
Helps Innovate
Continually Improving Product

Datadog

What is Datadog?

Company Details

Need Assistance?

Awards & Recognition

2023 Data Quadrant Champion

2023 Emotional Footprint Champion

Datadog Ratings

90 Likeliness to Recommend

1 Since last award

94 Plan to Renew

2 Since last award

83 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+91 Net Emotional Footprint

How much do users love Datadog?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Security Operations Automation Automate security operations e.g. threat and vulnerability management, compliance management, security incident and event management.

Analyze Activity Data Analyze activity data e.g. event logs, tickets, network packets.

Data Visualization Visualize customer data in configurable dashboards or reports, and easily share these visualizations with decision makers.

Operational Task Automation Execute operational tasks in response to commands, requests, incidents or alerts with minimal or no human supervision.

Incident Management Automation Automate tasks such as incident tracking, assessment, prioritization, impact suggestion, prediction of potential incidents, and self resolution.

Event & Alert Management Automation Automate event & alert management tasks e.g. manage alert thresholds, notify operator of a possible SLA breach.

Machine Learning Generate insights using machine learning algorithms e.g. event prediction, anomaly detection, sentiment analysis.

Analyze Discovery Data Analyze data on the design of components in the IT environment e.g. dependencies, endpoints, licenses, asset data, workflows, and configuration data.

Explainable and Trainable Algorithms Decisions and actions generated by the tool can be reviewed, and adjustments can be made to decision-making algorithms to improve results.

Performance & Capacity Management Automation Algorithms automate performance & capacity management tasks e.g. identify workloads nearing capacity limits, identify bottlenecks and possible remediation.

Problem Management Automation Automate problem management tasks e.g. identify related incidents, create problem tickets, suggest root cause.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Also Featured in...

Systems Management

Application Performance Monitoring - Enterprise

Network Monitoring - Enterprise

IoT Management

Datadog Reviews

Amit K.

Robust software for all your observability needs

Likeliness to Recommend

Pros

Amit K.

Bit pricy and now they now have strong competitors

Likeliness to Recommend

Pros

Cons

shivaling p.

Modern observability tool for modern apps!

Likeliness to Recommend

Pros

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Feature Ratings

Security Operations Automation

Analyze Activity Data

Data Visualization

Operational Task Automation

Incident Management Automation

Event & Alert Management Automation

Machine Learning

Analyze Discovery Data

Explainable and Trainable Algorithms

Performance & Capacity Management Automation

Problem Management Automation

Vendor Capability Ratings

Breadth of Features

Ease of Implementation

Vendor Support

Usability and Intuitiveness

Ease of Data Integration

Ease of IT Administration

Business Value Created

Quality of Features

Ease of Customization

Availability and Quality of Training

Product Strategy and Rate of Improvement