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  1. Stackups
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  3. Log Management
  4. Log Management
  5. Dynatrace vs Splunk

Dynatrace vs Splunk

OverviewDecisionsComparisonAlternatives

Overview

Splunk
Splunk
Stacks772
Followers1.0K
Votes20
Dynatrace
Dynatrace
Stacks337
Followers348
Votes28

Dynatrace vs Splunk: What are the differences?

Introduction

In this article, we will discuss the key differences between Dynatrace and Splunk.

  1. Ease of Installation and Configuration: One key difference between Dynatrace and Splunk is the ease of installation and configuration. Dynatrace provides a simplified installation process with automated setup, making it quick and easy to get up and running. On the other hand, setting up Splunk requires more manual configuration and expertise, making the installation process more complex.

  2. Application Focus: Dynatrace is primarily focused on application performance monitoring and management. It provides deep insights into application performance, including code-level analysis and transaction tracing. Splunk, on the other hand, is a more comprehensive platform that can handle various data types beyond application performance, such as log files, security events, and network data.

  3. Real-time Monitoring and Alerting: Dynatrace offers real-time monitoring and alerting capabilities that provide instant notifications on critical issues and performance anomalies. It can automatically detect and alert on performance degradations, allowing for immediate response and resolution. Splunk, although it can provide real-time monitoring, requires additional configurations to set up proactive alerts and notifications.

  4. Data Analytics and Visualization: Splunk excels in data analytics and visualization capabilities. It offers powerful search and analysis capabilities, allowing users to explore and extract insights from vast amounts of data. Splunk also provides a wide range of visualization options, including dashboards, charts, and graphs, to help users understand and communicate their data effectively. Dynatrace, on the other hand, provides more focused and predefined analytics and visualization features specific to application performance monitoring.

  5. Scalability and Flexibility: Splunk is known for its scalability and flexibility. It can handle large volumes of data across distributed environments and can be deployed on-premises or in the cloud. Splunk's modular architecture allows for customization and integration with other systems and tools. Dynatrace, while highly scalable, may have some limitations in handling extremely large datasets and has a more structured architecture focused on application performance monitoring.

  6. Cost and Licensing: The cost and licensing models of Dynatrace and Splunk differ. Dynatrace typically follows a subscription-based pricing model, where the cost is based on the number of monitored entities or the amount of data ingested. On the other hand, Splunk offers different licensing options, including perpetual, term-based, and cloud-based licensing, which can vary in cost based on usage requirements and deployment options.

In Summary, Dynatrace and Splunk differ in terms of ease of installation and configuration, application focus, real-time monitoring and alerting capabilities, data analytics and visualization features, scalability and flexibility, and cost and licensing models.

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Advice on Splunk, Dynatrace

Farzeem Diamond
Farzeem Diamond

Software Engineer at IVP

Jul 21, 2020

Needs adviceonDatadogDatadogDynatraceDynatraceAppDynamicsAppDynamics

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
Radha

Jun 20, 2020

Needs adviceonSite24x7Site24x7AppDynamicsAppDynamicsDynatraceDynatrace

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

Splunk
Splunk
Dynatrace
Dynatrace

It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.

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.

Predict and prevent problems with one unified monitoring experience; Streamline your entire security stack with Splunk as the nerve center; Detect, investigate and diagnose problems easily with end-to-end observability
-
Statistics
Stacks
772
Stacks
337
Followers
1.0K
Followers
348
Votes
20
Votes
28
Pros & Cons
Pros
  • 3
    Alert system based on custom query results
  • 3
    API for searching logs, running reports
  • 2
    Dashboarding on any log contents
  • 2
    Rich GUI for searching live logs
  • 2
    Ability to style search results into reports
Cons
  • 1
    Splunk query language rich so lots to learn
Pros
  • 4
    Automated RCA
  • 4
    Real User Monitoring
  • 3
    Out-of-the-box distributed transaction tracing
  • 2
    AI-powered platform
  • 2
    Extensible via SDK
Cons
  • 0
    AI-powered platform
  • 0
    Applications & Microservices
  • 0
    Real User Monitoring
  • 0
    Infrastructure Monitoring
  • 0
    Application Security

What are some alternatives to Splunk, Dynatrace?

New Relic

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

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!

Papertrail

Papertrail

Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.

Logmatic

Logmatic

Get a clear overview of what is happening across your distributed environments, and spot the needle in the haystack in no time. Build dynamic analyses and identify improvements for your software, your user experience and your business.

Raygun

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.

Loggly

Loggly

It is a SaaS solution to manage your log data. There is nothing to install and updates are automatically applied to your Loggly subdomain.

Apache Spark

Apache Spark

Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.

Logentries

Logentries

Logentries makes machine-generated log data easily accessible to IT operations, development, and business analysis teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 25,000 worldwide users.

Logstash

Logstash

Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana.

AppSignal

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.

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