Dynatrace

Dynatrace combines broad and deep observability and continuous runtime application security with advanced AIOps to provide answers and intelligent automation from data through observability mechanism.
ment and load balancing.

Overview

Tool Description

What is Dynatrace?
 
Dynatrace is an advanced software intelligence platform designed to provide automatic and intelligent observability into complex, dynamic, and distributed IT environments. It offers comprehensive monitoring, analytics, and management capabilities across various layers of modern digital ecosystems, including applications, microservices, containers, cloud infrastructure, and user experience.
At its core, Dynatrace employs AI-driven automation to deliver real-time insights into the performance, availability, and health of applications and infrastructure components. It dynamically discovers and maps the entire technology stack, continuously monitoring and analyzing interactions and dependencies across the environment.
Deployment Options

Saas
Self Manage
Features

  • Agent
  • Traces
  • Performance Metrics
  • Resource Metrics
  • Error and Exception Metrics
  • Compliance Metrics
  • Throughput Metrics
  • Events
  • Alerts (Notifications and alerting)
  • Application Performance Monitoring
  • Transaction Monitoring
  • Code-Level Monitoring
  • Analytics and Reporting
  • Scalability Monitoring
  • End-to-End Tracing
  • Log Management
  • Log Analysis
  • Log Retention
  • Log Retention Policies
  • Synthetic Monitoring
  • Database Monitoring
  • Service Level Objectives
  • Infrastructure Monitoring
  • Root Cause Analysis
  • Forecasting
  • Incident Management
  • Full Stack Monitoring
  • Compliance and Security
  • Continuous Profiling (Profiling and Optimization)
  • Serverless Management
  • Mobile Application Testing
  • Cloud Monitoring
  • Container Monitoring
  • API Monitoring
  • Data Visualization
  • Integrations
  • Open Telemetry
  • Dashboards

Tools Integration

Pricing

​Full-Stack Monitoring
Infrastructure Monitoring
Application Security
Real-User Monitoring
Synthetic Monitoring
​Log Management & Analytics
List price
$0.08 per hour for 8 GiB host
  • APM, Application
  • Observability, AIOps, and all Infrastructure
  • Monitoring functionality included – rolled out to 1000s hosts in minutes.
  • Automatic data collection, continuous full stack instrumentation for traces, code level, deployments, metrics, logs, and more with OneAgent.
  • OpenTelemetry-based distributed tracing, metrics, log ingestion, retention, and analytics.
  • Smart correlation of Metrics, Logs, and Traces in context. Automatic entity model, full topology, & complete dependency mapping with Smartscape.
  • Code level visibility for every request and every process with continuous profiling and analytics.
  • Unlimited AI-Assistance with automatic and exploratory root cause analytics using Dynatrace patented causal Davis® AI.
  • Powerful observability for serverless cloud services running on AWS, Azure, or GCP.
List price
$0.04 per hour for any size host
  • Unified, intelligent, and automated observability for cloud platforms, containers, networks, and data center technologies with any host size.
  • Includes Infrastructure Monitoring, AIOps, and Digital Business Analytics.
  • Unlimited container and network process monitoring.
  • Unlimited AI-assistance with precise root cause determination with Davis®.
  • Simple extensibility with 600+ technology integrations.
List price
$0.02 per hour for 8 GiB host
  • Continuous detection of vulnerabilities across all layers of application stack.
  • Automated risk analysis and impact assessment leveraging security intelligence and runtime context.
  • Davis® AI-assisted vulnerability prioritization.
    Protection against common attacks on application layer vulnerabilities.
  • One-click enablement with proven OneAgent technology.
  • Comprehensive CISO risk reporting.
    Detailed, high-quality vulnerability databases.
List price
$0.00 per session
  • Real-user monitoring for mobile, hybrid, and single page applications with common analytics.
  • Capture the full customer experience across every digital transaction.
  • No sampling of data to give you a complete picture, from the frontend to the backend.
  • Replay individual customer transactions for rapid problem handling.
  • Resolve problems proactively with real-time data.
List price
$0.00 per synthetic request
  • Leverage a best-in-class network with low latency, high throughput, and high redundancy.
  • Monitor critical workflows without scripting, using a simple web-based recorder.
  • Play back scripted transactions to ensure your tests are accurate.
  • Test business transactions and run them from real browsers.
  • Execute monitors from private locations to track the availability and performance of your internal resources.
List price
$0.20
per GiB (Ingest & Process)
$0.0007
per GiB per day (Retain)
$0.0035
per GiB (Query)
  • Transparent pricing based on your usage with no hidden fees or additional indexes to store.
  • Easily ingest terabytes of logs from clouds, Kubernetes, or traditional architecture with OneAgent or OpenTelemetry, with powerful processing, parsing, filtering, and masking included.
  • Retain petabytes efficiently and securely in Grail data lakehouse with no schemas or storage tiers to manage.
  • Quickly search, filter, and analyze logs to get instant answers – automatically in context of your topology and dependencies.
  • Split logs into retention buckets that fit your business and compliance needs, from debug to audit, from days to a decade.

Demo

Our Expertise help you in an apt tool pick. Our consultancy services can help you make the best choice.

Comparative Analysis

Traces
Records of system events for monitoring and troubleshooting.
Event Type
Yes
Yes
Yes
Timestamp
Yes
Yes
Yes
Source
Yes
Yes
Yes
Destination
Yes
Yes
Yes
Payload
Yes
Yes
Yes
Error Type
Yes
Yes
Yes
Duration
Yes
Yes
Yes
Correlation ID
Yes
Yes
Yes
Success Rate
Yes
No
Yes
Failure Rate
Yes
No
Yes
Dashboard
They provide a visual representation of various metrics and data collected from your software, servers, networks, and more.
Customizable Layouts
Yes
Yes
Yes
Widget Library
Yes
Yes
Yes
Metrics
Quantitative measures for system performance assessment.
Performance Metrics
Yes
Yes
Yes
Resource Metrics
Yes
Yes
Yes
Availability Metrics
Yes
Yes
Yes
Error and Exception Metrics
Yes
Yes
Yes
User Experience Metrics
Yes
Yes
Yes
Compliance Metrics
Yes
Yes(With the help of integrations Datadog can collect or track compliance related metrics)
Yes
SLA Metrics
Yes
Yes
Yes
Throughput Metrics
Yes
Yes
Events Log
Record of significant system actions, changes, or occurrences.
Payload
Yes
Yes
Yes
Error Type
Yes
Yes
Yes
Duration
Yes
No
Yes
Correlation ID
Yes
No
Yes
Success Rate
Yes
No
Yes
Failure Rate
Yes
No
Yes
Alerts
Notifications/warnings generated based on predefined conditions.
Threshold-based Alerts
Yes
Yes
Yes
Anomaly Detection Alerts
Yes
Yes
Yes
Heartbeat Alerts
Yes
Yes
No
Dependency Alerts
Yes
Yes
Yes
Time-based Alerts
Yes
Yes
Yes
Composite Alerts
Yes
Yes
Yes
Predictive Alerts
No
Yes
No
Escalation Alerts
No
Yes
No
Application Performance Monitoring
Application performance monitoring (APM) is the practice of tracking key software application performance metrics using monitoring software and telemetry data.
Transaction Monitoring
Yes
Yes
Yes
Dependency Mapping
(Service Map)
Yes
Yes
Yes
Code-Level Monitoring
Yes
Yes(Datadog offers, Continuous Profiler which is an always-on, production code profiler that enables you to analyze code-level performance across your entire environment, with minimal overhead. Profiles reveal which functions (or lines of code) consume the most resources, such as CPU and memory.)
Yes
User Experience Monitoring
Yes
Yes
Yes
Application Topology
Yes
Yes
Yes
Alerting and Notification
Yes
Yes
Yes
Scalability Monitoring
Yes
Yes
Yes
Integration and Compatibility
Yes
Yes
Yes
Security Monitoring
Yes
Yes
Yes
Cloud-Native Monitoring
Yes
Yes
Yes
End-to-End Tracing
Yes
Yes
Yes
Predictive Analytics
No
Yes
No
Log Management
Collect, aggregate, and analyze system logs.
Log Analysis
Yes
Yes
Yes
Log Retention
Yes
Yes
Yes
Log Types
Yes
Yes
Yes
Log Sources
Yes
Yes
Yes
Log Formats
Yes
Yes(In Datadog, the log data is typically structured in a standardized format, such as JSON or key-value pairs.)
Yes
Log Levels
Yes
Yes
Yes
Log Retention Policies
Yes
Yes(Depennds on Pricing Model)
Yes
Log Aggregation
Yes
Yes
Yes
Log Parsing
Yes
Yes
Yes
Log Storage
Yes
Yes
Yes
Log Rotation
Yes(With Limitations)
Yes
No
Synthetic Monitoring
Simulated user transactions for testing system performance and reliability.
Geographical Coverage
Yes
Yes
Yes
Scripting
Yes
No(No scripting required, all setup is done through the UI
Yes
Alerting
Yes
Yes
Yes
Performance Reports
Yes
Yes(Dashboards are available, which can be used to create scheduled reports)l
Yes
Real User Monitoring
(Dashboards are available, which can be used to create scheduled reports)
Session Replay
Yes
Yes
Yes
Page Load Timee
Yes
Yes
Yes
First Contentful Paint (FCP)
Yes
Yes(LCP)
Yes
Time to Interactive (TTI)
Yes
Yes
Yes
Page Views
Yes
Yes
Yes
Infrastructure Monitoring
Monitor the health and performance of servers.
Resource Utilization
Yes
Yes
Yes
Root cause analysis
Methodical approach to identify the underlying cause of an issue or problem.
Incident Data
Yes
Yes
Yes
System Logs
Yes(with limitations)
Yes
Yes
Dependencies
Yes
Yes
Yes
Change History
Yes
Yes
No
Historical Performance
No
Yes
Yes
Network Monitoring
It is the practice of continuously monitoring and analyzing the performance, availability, and security of a computer network. It involves collecting and analyzing data related to network traffic, devices, and infrastructure components to ensure the smooth operation of the network and detect any issues or anomalies that may arise.
Network Device Health
Yes
Yes
Yes
Cloud Monitoring
Monitor cloud infrastructure and services.
Cloud Provider Integration
Yes
Yes(Datadog offeres Cloud Cost Management which provides insights for engineering and finance teams to see how changes to infrastructure can affect costs. )
Yes
Cost Optimization
Yes
Yes
Yes
Container Monitoring
Monitor containerized applications and environments.
Orchestration Integration
Yes
Yes
Yes
API Monitoring
Monitor the availability and performance of APIs.
Endpoint Monitoring
Yes
Yes(API Catalog offered by Datadog is in beta)
Yes
Data Visualization
Presentation of monitoring data in visually understandable formats.
Charts and Graphs
Yes
Yes
Yes
Heatmaps
Yes
Yes
Yes
Gauge Widgets
Yes
Yes
Yes
Topology Maps
Yes
No(Datadog does not require a query language to filter search results, it offers facets instead which allows applying filters by selecting checkboxes as per your requirement)
Yes
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