Dynatrace vs JENNIFER

Overview

Dynatrace

Stacks337

Followers348

Votes28

JENNIFER

Stacks6

Followers6

Votes0

Dynatrace vs JENNIFER: What are the differences?

Deployment: Dynatrace is a SaaS-based monitoring tool that offers both on-premise and cloud deployment options, whereas JENNIFER is strictly an on-premise monitoring solution.
Supported Environments: Dynatrace supports a wide range of platforms including AWS, Azure, Google Cloud, Kubernetes, etc., whereas JENNIFER is more tailored towards Java-based applications and environments.
Monitoring Capabilities: Dynatrace provides AI-powered monitoring, automatic root cause analysis, and real-time anomaly detection, while JENNIFER focuses on deep transaction analysis and performance tuning for Java applications.
Scalability: Dynatrace is known for its high scalability and can handle a large number of monitored nodes and transactions, whereas JENNIFER may have limitations in terms of scalability for very large distributed environments.
Cost: Dynatrace is typically considered more expensive compared to JENNIFER, which may be a more cost-effective option for smaller organizations with budget constraints.
Customization: While both tools offer customization options, Dynatrace is often favored for its user-friendly interface and ease of configuration, making it a more accessible choice for users with varying levels of technical expertise.

In Summary, Dynatrace and JENNIFER differ in deployment options, supported environments, monitoring capabilities, scalability, cost, and customization features.

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Advice on Dynatrace, JENNIFER

Farzeem Diamond

Software Engineer at IVP

Jul 21, 2020

Needs adviceon

Datadog

Dynatrace

AppDynamics

Hey there! We are looking at Datadog, Dynatrace, AppDynamics, and New Relic as options for our web application monitoring.

Current Environment: .NET Core Web app hosted on Microsoft IIS

Future Environment: Web app will be hosted on Microsoft Azure

Tech Stacks: IIS, RabbitMQ, Redis, Microsoft SQL Server

Requirement: Infra Monitoring, APM, Real - User Monitoring (User activity monitoring i.e., time spent on a page, most active page, etc.), Service Tracing, Root Cause Analysis, and Centralized Log Management.

Please advise on the above. Thanks!

1.59M views1.59M

Comments

Radha

Jun 20, 2020

Needs adviceon

Site24x7

AppDynamics

Dynatrace

Hi Folks,

I am trying to evaluate Site24x7 against AppDynamics, Dynatrace, and New Relic. Has anyone used Site24X7? If so, what are your opinions on the tool? I know that the license costs are very low compared to other tools in the market. Other than that, are there any major issues anyone has encountered using the tool itself?

582k views582k

Comments

Detailed Comparison

Dynatrace	JENNIFER
It is an AI-powered, full stack, automated performance management solution. It provides user experience analysis that identifies and resolves application performance issues faster than ever before.	It is a Real-time performance data visualization solution. It catches abnormal application transaction event like the transactions of bad response time, transaction error/ exception and Bad SQL statement, etc and alerts in real-time.
-	Real-time Transaction Monitoring; Real-time Event Alerts; Real-time Data Analytics; Active Service Data Analytics
Statistics
Stacks 337	Stacks 6
Followers 348	Followers 6
Votes 28	Votes 0
Pros & Cons
Pros 4 Automated RCA 4 Real User Monitoring 3 Out-of-the-box distributed transaction tracing 2 Extensible via SDK 2 Built on massive industry expertise (since 2005) Cons 0 Applications & Microservices 0 AI-powered platform 0 Real User Monitoring 0 Infrastructure Monitoring 0 Application Security	No community feedback yet
Integrations
No integrations available	Java .NET PHP

What are some alternatives to Dynatrace, JENNIFER?

New Relic

The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.

Datadog

Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!

Raygun

Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy.

AppSignal

AppSignal gives you and your team alerts and detailed metrics about your Ruby, Node.js or Elixir application. Sensible pricing, no aggressive sales & support by developers.

AppDynamics

AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.

Stackify

Stackify offers the only developers-friendly innovative cloud based solution that fully integrates application performance management (APM) with error and log. Allowing them to easily monitor, detect and resolve application issues faster

Skylight

Skylight is a smart profiler for your Rails apps that visualizes request performance across all of your servers.

Librato

Librato provides a complete solution for monitoring and understanding the metrics that impact your business at all levels of the stack. We provide everything you need to visualize, analyze, and actively alert on the metrics that matter to you.

Keymetrics

PM2 is a production process manager for Node.js applications with a built-in load balancer. It allows you to keep applications alive forever, to reload them without downtime and to facilitate common system admin tasks.

SignalFx

We provide operational intelligence for today’s elastic architectures through monitoring specifically designed for microservices and containers with: -powerful and proactive alerting -metrics aggregation -visualization into time series data

Related Comparisons

Dynatrace vs JENNIFER: What are the differences?

Deployment: Dynatrace is a SaaS-based monitoring tool that offers both on-premise and cloud deployment options, whereas JENNIFER is strictly an on-premise monitoring solution.
Supported Environments: Dynatrace supports a wide range of platforms including AWS, Azure, Google Cloud, Kubernetes, etc., whereas JENNIFER is more tailored towards Java-based applications and environments.
Monitoring Capabilities: Dynatrace provides AI-powered monitoring, automatic root cause analysis, and real-time anomaly detection, while JENNIFER focuses on deep transaction analysis and performance tuning for Java applications.
Scalability: Dynatrace is known for its high scalability and can handle a large number of monitored nodes and transactions, whereas JENNIFER may have limitations in terms of scalability for very large distributed environments.
Cost: Dynatrace is typically considered more expensive compared to JENNIFER, which may be a more cost-effective option for smaller organizations with budget constraints.
Customization: While both tools offer customization options, Dynatrace is often favored for its user-friendly interface and ease of configuration, making it a more accessible choice for users with varying levels of technical expertise.

In Summary, Dynatrace and JENNIFER differ in deployment options, supported environments, monitoring capabilities, scalability, cost, and customization features.

Dynatrace vs JENNIFER

Overview