ScienceLogic vs Datadog

ManageEngine OpManager

Site24x7

OpManager Nexus

OpManager is an easy-to-use network management product that offers a single console solution to manage the complete IT network of any organization.

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

ManageEngine OpManager Plus is an AIOps software designed to help businesses monitor networks, servers, IP addresses, switch ports, bandwidth, network configurations, firewall rules, logs, policies, application usage, and storage devices. IT admins can perform an in-depth analysis of IT performance parameters, including health, availability, device utilization, and more.

ScienceLogic EM7 is a monitoring and management product for service providers as well as corporate and public sector IT organizations. It allows you to manage your on-premises infrastructure, remote and mobile assets, private and public clouds, or network and systems.

Bandwidth Monitoring

Capacity Management

Configuration Management

CPU Monitoring

Credential Management

Dashboard

Data Migration

Disaster Recovery

Email Monitoring

Event Logs

IP Address Monitoring

Monitoring

Network Analysis

Network Monitoring

Network Resource Management

Patch Management

Performance Monitoring

Prioritization

Relationship Mapping

Root Cause Analysis

Scheduling

Server Monitoring

Service Level Agreement (SLA) Management

Third-Party Integration

Uptime Reporting

Virtual Machine Monitoring

Web Traffic Reporting

Workflow Automation

ScienceLogic

Web-based

Linux

Windows

Datadog

Basic

Large Enterprises

Mid-size Business

Small Business

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.

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

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 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

Customizable Dashboard

Customizable Reports

Customization

Dashboard Creation

Data Aggregation

Data Analysis Tools

Database Monitoring

Data Classification

Data Cleansing

Data Collection

Data Connectors

Data Discovery

Data Import/Export

Data Storage Management

Data Transformation

Data Visualization

Debugging

Dependency Tracking

Device Auto Discovery

Diagnostic Tools

Drag & Drop

Email Alerts

Event Analysis

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

Move & Copy

Multi-Cloud Management

Multi-Language

Multiple Data Sources

Multi-User Collaboration

Natural Language Processing

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

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

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.

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 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.

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. Users report that the dashboards are highly customizable and easy to set up, allowing them to tailor views for specific metrics and business needs. Some reviewers say they value the ability to integrate data from multiple sources, which helps them monitor systems efficiently. They appreciate the intuitive interface, which makes it simple to visualize and organize information for both technical and non-technical stakeholders. Many users mention that out-of-the-box dashboards and templates help teams get started quickly and provide valuable insights for troubleshooting and tracking performance.

Systems Adninistrator

Only a few minutes are required to setup the monitoring agents and we have pre-built integrations for cloud infrastructure that help our IT team to save a lot of manual configuration time.

It replaced stitching together separate metrics, logs, and tracing tools with one correlated platform, which shortened incident resolution and gave the team much better visibility into production.

Pricing is the big drawback: costs can climb quickly and unpredictably as you add hosts, custom metrics, and log ingestion, so you have to actively manage what you send.

SR SYS Admin

Log searching andd data analysis are the strongpoints of Datadog - you can take an insane amount of data, and distill it quickly.

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.

You can do dev work as well in Datadog, and monitor pipelines.

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.