Datadog vs Graylog

Splunk Enterprise

Amazon CloudWatch

Site24x7

Splunk Enterprise is a cloud-based platform designed to assist businesses with big data management and analysis of machine data. Key features include data visualization, performance metrics, data collection, real-time search, indexing, KPI tracking, reporting, and monitoring.

Amazon CloudWatch is a vulnerability management software designed to help DevOps engineers, IT managers, and site reliability engineers (SREs) observe and manage AWS resources. Administrators can gain insights into operational data to visualize logs and utilize machine learning algorithms to detect anomalous behavior across environments.

Site24x7 is a monitoring solution for DevOps and IT operations for troubleshooting applications, servers and network infrastructure

Systems Administrator

We have also had less than stelar experience with DataDog support, basically being non-responsive.

Frontend architect

The consequences can include loss of information (due to the developer interpreting the stakeholder's need / wish differently) or confusion (the developer having a tech focused mindset and language while the stakeholders do not)

Platform Engineer

The user interface is very simple and customer support and account help our teams in providing training and guidance in case of any issue.

Use Datadog's real-time, customizable, interactive dashboards with high-res graphical metrics to monitor your servers, applications, tools and web services.

Access Controls/Permissions

Activity Dashboard

Activity Tracking

Ad hoc Reporting

Alerts/Escalation

Alerts/Notifications

Analytics

Anomaly Detection

Application-Level Analysis

Application Management

Application Security

Archiving & Retention

Asset Tracking

Audit Management

Audit Trail

Automated Discovery

Availability Testing

Baseline Manager

Bottleneck Identification

Capacity Analytics

Capacity Management

Capacity Planning

Chat/Messaging

Cloud Application Security

Collaboration Tools

Commenting/Notes

Communications Management

Compliance Management

Compliance Tracking

Container Monitoring

Content Management

Continuous Deployment

Continuous Integration

Continuous Monitoring

Correlation Analysis

Cost Management

CPU Monitoring

Customizable Dashboard

Customizable Reports

Customization

Dashboard

Dashboard Creation

Data Aggregation

Data Analysis Tools

Database Monitoring

Data Classification

Data Cleansing

Data Collection

Data Connectors

Data Discovery

Data Import/Export

Data Migration

Data Storage Management

Data Transformation

Data Visualization

Debugging

Dependency Tracking

Device Auto Discovery

Diagnostic Tools

Disaster Recovery

Drag & Drop

Email Alerts

Email Monitoring

Event Analysis

Event Logs

Event Tracking

For eCommerce

For Websites

FTP Monitoring

Graphical User Interface

High Volume Processing

HIPAA Compliant

Historical Trend Analysis

Incident Management

Incident Reporting

Indexing

Investigation Management

Issue Management

Issue Tracking

IT Incident Management

IT Monitoring

KPI Monitoring

Log Access

Log Analysis

Log Collection

Log Management

Log Parsing

Log Rotation

Machine Learning

Mobile App

Mobile Network Troubleshooting

Monitoring

Move & Copy

Multi-Cloud Management

Multi-Language

Multiple Data Sources

Multi-User Collaboration

Natural Language Processing

Network Analysis

Some reviewers feel Datadog’s flexible pricing options and free tier help organizations of various sizes, and they appreciate the ability to manage usage to avoid unexpected bills. However, many users find the pricing high, the model complex, and the value for money diminished by additional costs and limited transparency.

Value for money

The Datadog integration most frequently cited by reviewers is Slack, a team communication product rated 4.7 out of 5 for its integration with Datadog.

Integrations

By industry, Datadog reviewers are most commonly professionals in computer software (21%). The most frequent use case for Datadog cited by reviewers is log analysis (45% of reviewers).

Proprietary

Datadog

Windows

Web-based

Linux

iPhone

Android

iPad

New Relic

Loggly

AppDynamics

Sumo Logic

LogicMonitor

Graylog

PRTG

Google Analytics 360

Raygun

Free

Enterprise

DevSecOps Pro

DevSecOps Enterprise

Complex and expensive pricing

Senior DevOps Engineer

The pricing expensive and hard to predict.

Director of Engineering

It is very very expensive, the bill can be huge without a lot of tuning and supervision

66% of reviewers feel negative about Datadog’s pricing. Some users report that the cost is high compared to competitors and can quickly escalate, especially as usage grows. Reviewers indicate that the pricing model is complicated and difficult to predict, requiring constant attention to avoid unexpected charges. They find that managing costs is challenging, particularly for smaller organizations, and say that the lack of transparency in billing categories adds to their frustration. Some reviewers feel the expense forces them to limit usage or seek alternatives.

Comprehensive real-time analytics

Datadog excels at providing real-time, in-depth insights into application and infrastructure performance, with a user-friendly interface and robust integrations.

Developer

The interface is user-friendly and easy to navigate, and it provides detailed insights and analytics that allow me to identify and troubleshoot issues quickly.

92% of reviewers feel positive about Datadog’s insights and analytics. Some reviewers find the platform delivers deep, real-time visibility into application and infrastructure performance, which helps them quickly identify and troubleshoot issues. Users say the analytics capabilities are robust, offering detailed logs and metrics that improve their understanding of system health. They appreciate the intuitive interface and the seamless integration with various tools, which enhances their ability to monitor complex environments and respond to incidents more effectively.

Highly customizable dashboards

Software Developer

The dashboards are highly customizable, which helps with specific backend performance tracking.

Systems Engineer

I am also a big fan of the out of the box dashboards and views that help out teams provide value quickly to the products they support.

89% of reviewers feel positive about Datadog’s dashboards. Some users say the dashboards are highly customizable, allowing them to tailor views for specific metrics and applications. Reviewers appreciate being able to quickly build dashboards that provide clear, real-time visualizations for both technical and non-technical stakeholders. They find the dashboards easy to set up and flexible, which helps them monitor system health and performance efficiently. Some reviewers indicate that built-in templates and integrations enable fast deployment and value, while the user-friendly interface makes ongoing management straightforward.

The dashboard building, especially building custom tailored ones for different needs (designers wanting user behaviour things, while product owners want business related things, while developers want performance, security and reliability by viewing bugs and issues).

Director, Enterprise Infrastructure Architect

The platform offers metrics, logs, APM, tracing, RUM, synthetics, security monitoring, which paired with excellent out‑of‑the‑box integrations and a strong support organization.

Software Developer and Consultant

It allowed us to create alerts for different metrics like application errors, network latency, and more.

I like that there were many cases where I needed a feature to do a task and was able to come up with a hack that enabled me to fulfill my task even though the feature was missing from datadog.

Log management, APM, and infrastructure monitoring work seamlessly together, which significantly improves incident detection and troubleshooting.

Im not sure about datadog ability to immediately update response report when i switch online from offline time, except incases where i have to relog in.

Marketing Coordinator

I like the ability to create very insightful dashboards, have very good control of logs, have lots of documentation and good customer support to understand the app.

We realized faster incident triage, better cross‑team collaboration, and measurable improvements in application reliability and release velocity.

SRE Manager

The ability to integrate it with nearly any application has proved to be essential for bringing multiple legacy systems under one easy view.

The primary downside is the cost. As our environment scales, Datadog becomes increasingly expensive, especially when ingesting large volumes of logs and metrics.

Software Engineer

We are able to use it as developers in my company to track down each step of the user journey through our system.

Dashboards / Notebooks containing logs / metrics / events / network / etc makes Data Analysis for me easier and faster.

I like that we have centralized most of our security alerting through Datadog SIEM, it makes it easier for incident management.

Devops Engineer

It’s sometimes difficult to list few features like the metric summary and custom metric volume as the site is slow.

Datadog brings metrics, logs, and traces together in one platform.

Analyst

This consolidation supports both short-term efficiency and long-term strategic transitions, such as moving toward a single data lake vision.

Cloud Engineer

Cost and Unpredictable Pricing, Cost and Unpredictable Pricing, Alert Fatigue and Limited Alerting Flexibility

This maybe the best value about Datadog, log management / pipelines / generating metrics / etc are very powerful and are great tools

It also offers RUM for user monitoring across different devices, custom metrics, as well as seamless integration with incident response tools.

QA Lead

Some of the more granular alert configurations could get complicated and required a solid understanding of the platform before getting them right.

Co-founder

We leveraged this tool to monitor a complex infrastructure, including EC2 instances, Redis, ElasticSearch, MariaDB, PHP, VueJS-based web applications, Socket connections, and other critical components.

The sheer volume of features can also feel overwhelming at first, making it hard to know where to start without proper onboarding or documentation.

Solution Architect

Datadog is an excellent observability platform that provides in-depth monitoring, logging, and security insights for cloud environments.

Software developer

Slo feature which helped us to show our client how reliable our services are and helped us crack deal.

IT Manager

infra, it is a basic metric monitoring tools and the interface is not user friendly for checking issue.

The security access into the application made it so we could control access with granularity.

Service Delivery Manager

The ability to actually drilldown and get detailed usage metrics.

RUM has helped us in identifying the frustrations of end user, visibly view how the end user is interacting with our application and ultimately serve our users better and improve usability for them.

Devops Lead

Sometimes I see differences in the data represented on Datadog vs Cloudwatch metrics.

This is especially noticeable with features such as handling “resources” in APM.

Datadog vs Graylog Comparison (2026)

Datadog

Graylog

Overview

Video & Screenshots

Pricing

User reviews

Key features

Integrations

Alternatives