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  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. AppDynamics vs Honeycomb

AppDynamics vs Honeycomb

OverviewDecisionsComparisonAlternatives

Overview

AppDynamics
AppDynamics
Stacks305
Followers629
Votes68
Honeycomb
Honeycomb
Stacks80
Followers112
Votes8

AppDynamics vs Honeycomb: What are the differences?

Introduction

In this section, we will discuss the key differences between AppDynamics and Honeycomb, two popular observability tools used in software development and monitoring.

  1. Data Collection Approach: One key difference between AppDynamics and Honeycomb lies in their data collection approach. AppDynamics primarily uses an agent-based approach, where lightweight agents are installed on the application servers to collect performance data. On the other hand, Honeycomb follows a more declarative approach, where developers instrument their code using Honeycomb SDKs or libraries to send custom events and context-rich data, allowing for more granular and flexible observability.

  2. Granularity of Data: Another notable difference is the granularity of the data collected by AppDynamics and Honeycomb. AppDynamics focuses more on high-level metrics and aggregates, providing insights into overall application performance. In contrast, Honeycomb excels in providing detailed, event-based data by capturing individual requests and transactions with the ability to query and visualize raw events. This fine-grained approach allows for better troubleshooting and root cause analysis.

  3. Querying and Analysis Capabilities: AppDynamics and Honeycomb also differ in their querying and analysis capabilities. AppDynamics offers a built-in analytics engine that provides predefined metrics, dashboards, and charts. It provides a comprehensive set of out-of-the-box features suitable for monitoring and managing specific use cases. Honeycomb, on the other hand, focuses on query-driven exploration, where users can perform ad-hoc queries using Honeycomb Query Language (HQL) to gain deeper insights into their data. It enables users to dynamically explore and slice the data to uncover hidden patterns and trends.

  4. Cost Model: AppDynamics and Honeycomb employ different cost models for their services. AppDynamics is a commercially licensed tool with pricing based on various factors such as the number of agents, deployment size, and additional features. Honeycomb, on the other hand, offers a consumption-based pricing model, where users are charged based on the volume of ingested data and the duration of data retention. This makes it more flexible for organizations with varying levels of data volume and budget considerations.

  5. Integration Ecosystem: AppDynamics and Honeycomb also differ in terms of their integration ecosystem. AppDynamics provides extensive integrations with various popular tools and platforms, making it easier to fit into existing monitoring and DevOps workflows. Honeycomb, while offering integrations with popular observability tools, distinguishes itself with its focus on providing open APIs and SDKs, enabling users to build custom integrations and extend the platform's capabilities to suit their specific needs.

  6. Maturity and Market Presence: Lastly, AppDynamics and Honeycomb differ in terms of their maturity and market presence. AppDynamics is a well-established player in the application performance monitoring space, with a large customer base and a long track record of providing enterprise-level solutions. Honeycomb, although relatively newer, has gained popularity among developers and DevOps teams due to its unique approach to observability, attracting a vibrant community and focusing on the needs of modern software development practices.

In summary, AppDynamics and Honeycomb differ in their data collection approach, granularity of data, querying and analysis capabilities, cost model, integration ecosystem, as well as their maturity and market presence. These differences make each tool suitable for specific use cases and organizations, depending on their requirements and priorities.

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Advice on AppDynamics, Honeycomb

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

AppDynamics
AppDynamics
Honeycomb
Honeycomb

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

We built Honeycomb to answer the hard questions that come up when you're trying to operate your software–to debug microservices, serverless, distributed systems, polyglot persistence, containers, and a world of fast, parallel deploys.

End User Monitoring;Real-Time Business Transaction Monitoring;Visualize & Manage your Entire Application;Detect Business Impact and Performance Spikes;Isolate Bottlenecks in your Application;Identify Root Cause with Complete Code diagnostics;Kickass for Business: Reports;Kickass for Ops: Dashboards;Kickass for Dev: Agile Comparison
High-performance querying against high-cardinality or sparse events.; Accepts any structured JSON objects with a write key.; Submit events via API.; Open source agents, log tailers, SDKs, and integrations.; Customizable high-performance query windows.; Customizable storage windows provide control over retention and costs.; Always have access to the the raw data behind query results and graphs.; Shared boards.; Individual and team query histories.; Triggers and notifications.; Secure Tenancy for data compliance.
Statistics
Stacks
305
Stacks
80
Followers
629
Followers
112
Votes
68
Votes
8
Pros & Cons
Pros
  • 21
    Deep code visibility
  • 13
    Powerful
  • 8
    Real-Time Visibility
  • 7
    Great visualization
  • 6
    Comprehensive Coverage of Programming Languages
Cons
  • 5
    Expensive
  • 2
    Poor to non-existent integration with aws services
Pros
  • 3
    BubbleUp + Heat maps
  • 2
    High-Cardinality Data
  • 2
    Powerful UI
  • 1
    Better Value
Integrations
Rackspace Cloud Servers
Rackspace Cloud Servers
Microsoft Azure
Microsoft Azure
Amazon EC2
Amazon EC2
RightScale
RightScale
CloudBees
CloudBees
HP Cloud Compute
HP Cloud Compute
Boundary
Boundary
PagerDuty
PagerDuty
JavaScript
JavaScript
Ruby
Ruby
ExpressJS
ExpressJS
Slack
Slack
NGINX
NGINX
PostgreSQL
PostgreSQL
MySQL
MySQL
Python
Python
Golang
Golang
AWS Elastic Load Balancing (ELB)
AWS Elastic Load Balancing (ELB)

What are some alternatives to AppDynamics, Honeycomb?

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!

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.

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.

Stackify

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

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

Librato

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

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.

Dynatrace

Dynatrace

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.

SignalFx

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

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