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

Honeycomb vs JENNIFER

OverviewComparisonAlternatives

Overview

Honeycomb
Honeycomb
Stacks80
Followers112
Votes8
JENNIFER
JENNIFER
Stacks6
Followers6
Votes0

Honeycomb vs JENNIFER: What are the differences?

Honeycomb: Observability for a distributed world--designed for high cardinality data and collaborative problem solving 🐝💖. 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; JENNIFER: Real-time performance data visualization solution. 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.

Honeycomb and JENNIFER can be primarily classified as "Performance Monitoring" tools.

Some of the features offered by Honeycomb are:

  • High-performance querying against high-cardinality or sparse events.
  • Accepts any structured JSON objects with a write key.
  • Submit events via API.

On the other hand, JENNIFER provides the following key features:

  • Real-time Transaction Monitoring
  • Real-time Event Alerts
  • Real-time Data Analytics

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Detailed Comparison

Honeycomb
Honeycomb
JENNIFER
JENNIFER

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.

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.

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.
Real-time Transaction Monitoring; Real-time Event Alerts; Real-time Data Analytics; Active Service Data Analytics
Statistics
Stacks
80
Stacks
6
Followers
112
Followers
6
Votes
8
Votes
0
Pros & Cons
Pros
  • 3
    BubbleUp + Heat maps
  • 2
    Powerful UI
  • 2
    High-Cardinality Data
  • 1
    Better Value
No community feedback yet
Integrations
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)
Java
Java
.NET
.NET
PHP
PHP

What are some alternatives to Honeycomb, JENNIFER?

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.

AppDynamics

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

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.

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