AppDynamics vs Netuitive

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AppDynamics

304
619
+ 1
68
Netuitive

7
21
+ 1
3
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AppDynamics vs Netuitive: What are the differences?

Introduction

AppDynamics and Netuitive are both application performance monitoring tools but have key differences that differentiate them in the market.

1. Scalability: AppDynamics is known for its scalability, able to handle a large number of applications, servers, and users without compromising on performance. On the other hand, Netuitive may face challenges in handling the scale, especially in large enterprise environments.

2. Deployment Options: AppDynamics offers both on-premise and cloud-based solutions, providing flexibility to users based on their specific needs and infrastructure. In contrast, Netuitive primarily focuses on cloud-based deployments, limiting the options for organizations that prefer on-premise solutions.

3. Machine Learning Capabilities: AppDynamics utilizes advanced machine learning algorithms to provide predictive insights and anomaly detection in real-time, allowing for proactive management of application performance issues. Netuitive, while also harnessing machine learning, may not offer the same level of sophistication and real-time analytics as AppDynamics.

4. Customization and Integration: AppDynamics offers extensive customization options and seamless integration with a wide range of third-party tools and platforms, providing users with a tailored monitoring solution. Netuitive, on the other hand, may have limitations in terms of customization and integration capabilities compared to AppDynamics.

5. Pricing Model: The pricing structure of AppDynamics is often perceived as more transparent and flexible, catering to the varying needs and budgets of different organizations. In contrast, Netuitive's pricing model may be more rigid and less accommodating of specific requirements, potentially making it less cost-effective for certain users.

6. User Interface and Usability: AppDynamics is known for its user-friendly interface and intuitive design, making it easier for users to navigate through complex performance metrics and monitoring data. While Netuitive also provides a user-friendly experience, it may not offer the same level of simplicity and ease of use as AppDynamics.

In Summary, AppDynamics excels in scalability, deployment options, machine learning capabilities, customization, pricing model, and user interface compared to Netuitive.

Advice on AppDynamics and Netuitive
Farzeem Diamond Jiwani
Software Engineer at IVP · | 8 upvotes · 1.4M views
Needs advice
on
AppDynamicsAppDynamicsDatadogDatadog
and
DynatraceDynatrace

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!

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Needs advice
on
AppDynamicsAppDynamicsDynatraceDynatrace
and
Site24x7Site24x7

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?

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Replies (1)
Lucas Rincon
Recommends
on
InstanaInstana

what are the most important things you are looking for the tools to do? each has their strong points... are you looking to monitor new tech like containers, k8s, and microservices?

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Pros of AppDynamics
Pros of Netuitive
  • 21
    Deep code visibility
  • 13
    Powerful
  • 8
    Real-Time Visibility
  • 7
    Great visualization
  • 6
    Easy Setup
  • 6
    Comprehensive Coverage of Programming Languages
  • 4
    Deep DB Troubleshooting
  • 3
    Excellent Customer Support
  • 3
    Rich Analytics

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Cons of AppDynamics
Cons of Netuitive
  • 5
    Expensive
  • 2
    Poor to non-existent integration with aws services
    Be the first to leave a con

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    What is AppDynamics?

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

    What is Netuitive?

    Netuitive provides an adaptive monitoring, analytics, and anomaly detection platform for cloud infrastructure and web applications. By ingesting metrics from multiple data sources, Netuitive learns behaviors and utilizes pre-set dynamic policies that reduce the manual effort and human-guesswork typically required to monitor systems and applications. This unique technology enables IT operations and developers to automate performance analysis, detect relevant anomalies, and determine efficient capacity utilization.

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    What companies use AppDynamics?
    What companies use Netuitive?
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    What tools integrate with AppDynamics?
    What tools integrate with Netuitive?

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    What are some alternatives to AppDynamics and Netuitive?
    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!
    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.
    Nagios
    Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.
    Splunk
    It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
    ELK
    It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.
    See all alternatives