AppDynamics vs Splunk

Need advice about which tool to choose?Ask the StackShare community!


+ 1

+ 1
Add tool

AppDynamics vs Splunk: What are the differences?

AppDynamics specializes in application performance monitoring, offering insights into the performance and behavior of applications, while Splunk is a powerful platform for analyzing and visualizing machine-generated data, providing a wide range of data analytics and operational intelligence capabilities. Let's explore the key differences between them.

  1. Real-time Application Performance Monitoring (APM) vs Log Analytics: AppDynamics primarily focuses on real-time Application Performance Monitoring (APM). It provides in-depth insights into the performance of applications, infrastructure, and business transactions, helping organizations identify and rectify performance issues in real-time. On the other hand, Splunk specializes in log analytics, allowing users to collect, index, and analyze machine-generated data. It enables businesses to gain operational intelligence by analyzing logs, events, and metrics from various sources.

  2. Scope of Monitoring and Data Collection: AppDynamics focuses on monitoring applications, providing detailed insights into application behavior, user experience, and business impact. It captures metrics related to performance, availability, and errors at various levels including user requests, application code, infrastructure, and external services. Splunk, on the other hand, has a broader scope of monitoring and data collection. It can ingest data from a wide range of sources including logs, metrics, events, and other machine-generated data.

  3. Scalability and Deployment Flexibility: AppDynamics offers scalability and deployment flexibility suitable for businesses of different sizes. It can be used in both cloud and on-premises environments, allowing organizations to monitor applications across multiple locations and scale as needed. Splunk also provides scalability and flexibility, allowing users to deploy it on-premises, in the cloud or in a hybrid environment. It supports distributed architectures and can handle large volumes of data.

  4. Analysis Capabilities and Visualization: AppDynamics provides advanced analysis capabilities that help organizations identify root causes of performance issues and optimize application performance. It provides visual representations of application dependencies, code-level details, and business transaction flows. Splunk, on the other hand, excels in data analysis and visualization. It allows users to search, analyze, and visualize data in real-time, allowing for ad-hoc queries, dashboards, and reports.

  5. Use Cases and Industry Focus: AppDynamics is primarily used for application monitoring and is popular among software development and IT operations teams. It helps optimize the performance and availability of critical business applications. Splunk, on the other hand, has a wider range of use cases including operations monitoring, security, compliance, and business analytics. It is used across various industries including finance, healthcare, retail, and government.

  6. Licensing Model and Pricing: AppDynamics offers a subscription-based licensing model, where the cost is based on the number of application components monitored. It offers different tiers based on functionality and feature sets. Splunk, on the other hand, uses a data ingestion-based pricing model. The cost is based on the volume of data indexed and analyzed. It offers different licensing options based on data retention, concurrent user seats, and additional features.

In summary, AppDynamics focuses on real-time Application Performance Monitoring (APM), while Splunk specializes in log analytics and broader data analysis capabilities. AppDynamics provides detailed insights into application performance, while Splunk offers a wide range of use cases across industries. The licensing models of AppDynamics and Splunk are different, with AppDynamics based on application components monitored and Splunk based on data volume.

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

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!

See more
Needs advice

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?

See more
Replies (1)
Lucas Rincon

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?

See more
Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
Pros of AppDynamics
Pros of Splunk
  • 21
    Deep code visibility
  • 13
  • 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
    API for searching logs, running reports
  • 3
    Alert system based on custom query results
  • 2
    Splunk language supports string, date manip, math, etc
  • 2
    Dashboarding on any log contents
  • 2
    Custom log parsing as well as automatic parsing
  • 2
    Query engine supports joining, aggregation, stats, etc
  • 2
    Rich GUI for searching live logs
  • 2
    Ability to style search results into reports
  • 1
    Granular scheduling and time window support
  • 1
    Query any log as key-value pairs

Sign up to add or upvote prosMake informed product decisions

Cons of AppDynamics
Cons of Splunk
  • 5
  • 2
    Poor to non-existent integration with aws services
  • 1
    Splunk query language rich so lots to learn

Sign up to add or upvote consMake informed product decisions

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 Splunk?

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

Need advice about which tool to choose?Ask the StackShare community!

What companies use AppDynamics?
What companies use Splunk?
See which teams inside your own company are using AppDynamics or Splunk.
Sign up for StackShare EnterpriseLearn More

Sign up to get full access to all the companiesMake informed product decisions

What tools integrate with AppDynamics?
What tools integrate with Splunk?

Sign up to get full access to all the tool integrationsMake informed product decisions

Blog Posts

Jul 9 2019 at 7:22PM

Blue Medora

DockerPostgreSQLNew Relic+8
Jun 26 2018 at 3:26AM

Twilio SendGrid

What are some alternatives to AppDynamics and Splunk?
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 is a host/service/network monitoring program written in C and released under the GNU General Public License.
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.
Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.
See all alternatives