BlazeMeter vs Datadog

BrowserStack

PFLB

BrowserStack is a cloud-based testing platform giving dev and QA teams access to 3,500+ browsers, 35,000+ real devices, and automated.

PFLB is a performance testing company. Bring your own testers and use our platform, or hand us the whole engagement.

Datadog

Cloud-based SaaS observability and security platform unifying infrastructure monitoring, APM, log management, and threat detection.

BlazeMeter offers a comprehensive performance testing solution that enables you to catch issues early and optimize for lightning-fast user experiences. Our platform empowers you to conduct rigorous performance testing across the entire software delivery lifecycle through a shift-left approach.

Action-Word Testing

Alerts/Notifications

Application Management

Automated Scheduling

Cloud Load Testing

Configurable Alerts

Cross Browser Testing

Customizable Reports

Data Extraction

Data Import/Export

Data Storage Management

Data Synchronization

Email Alerts

For Websites

Hierarchical View

Load Testing

Mobile Testing

Model-Based Testing

Monitoring

Multiple Data Sources

Parameterized Testing

Performance Management

Performance Metrics

Performance Testing

Quality Assurance

Real-Time Analytics

Real-Time Data

Real-Time Monitoring

Real-Time Reporting

Real-Time Updates

Remote Monitoring & Management

Reporting/Analytics

Reporting & Statistics

Requirements-Based Testing

Role-Based Permissions

Scheduling

Secure Data Storage

Security Testing

Self Service Portal

Server Monitoring

Single Sign On

Software Testing Management

Static Analysis

Testing Management

Test Script Reviews

Third-Party Integrations

UI Testing

User Management

Virtual Machine Monitoring

Web Testing

BlazeMeter

Web-based

iPhone

Windows

iPad

Android

Linux

Microsoft Azure

Dynatrace

Basic Plan

Mid-size Business

Small Business

Large Enterprises

Freelancers

Perforce

Splunk Enterprise

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.

Site24x7

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

Amazon CloudWatch

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.

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.

Datadog's Security Platform delivers real-time threat detection and continuous configuration audits across apps, hosts, containers, and cloud infrastructure. Easily detect changes in your containerized environment that may leave your applications vulnerable with Datadog's detection rules.

Access Controls/Permissions

Activity Dashboard

Activity Tracking

Ad hoc Reporting

Alerts/Escalation

Analytics

Anomaly Detection

Application-Level Analysis

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

Customization

Dashboard

Dashboard Creation

Data Aggregation

Data Analysis Tools

Database Monitoring

Data Classification

Data Cleansing

Data Collection

Data Connectors

Data Discovery

Data Migration

Data Transformation

Data Visualization

Debugging

Dependency Tracking

Device Auto Discovery

Diagnostic Tools

Disaster Recovery

Drag & Drop

Email Monitoring

Event Analysis

Event Logs

Event Tracking

For eCommerce

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

Move & Copy

Multi-Cloud Management

Multi-Language

Multi-User Collaboration

Natural Language Processing

Network Analysis

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 information technology and services (20%). The most frequent use case for Datadog cited by reviewers is log analysis (45% of reviewers).

Proprietary

New Relic

Loggly

AppDynamics

Sumo Logic

LogicMonitor

Graylog

PRTG

Google Analytics 360

Raygun

Free

Enterprise

DevSecOps Pro

DevSecOps Enterprise

Complex and expensive pricing

Software Engineer

Datadog pricing plan is complex and confusing ,must be keen to avoid unplanned costs  and wasteful licensing

Director of Engineering

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

67% of reviewers feel negative about Datadog’s pricing. Some users report that the pricing model is complicated and difficult to predict, with costs that can escalate quickly as usage grows. Reviewers indicate that managing expenses requires constant attention, and they often struggle to understand the breakdown of charges. Many users feel the product is expensive, especially for smaller organizations, and say they must limit usage or features to control costs. Some reviewers mention that the lack of transparency and the risk of unexpected charges make budgeting and cost justification challenging.

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.

92% of reviewers feel positive about Datadog’s insights and analytics. Some users say the platform provides deep, real-time visibility into application and infrastructure performance, enabling them to identify and resolve issues quickly. Reviewers appreciate the detailed analytics, which help them monitor logs, databases, and virtual machines with ease. They indicate that the user-friendly interface and robust integrations contribute to a seamless workflow. Many users find that Datadog’s analytics have improved their ability to troubleshoot, respond to incidents, and gain a clearer understanding of system health across complex environments.