Datadog vs Kadira

Overview

Datadog

Stacks9.8K

Followers8.2K

Votes861

Kadira

Stacks51

Followers34

Votes15

GitHub Stars214

Forks109

Datadog vs Kadira: What are the differences?

Data Collection: Datadog offers extensive integrations and data collection capabilities, allowing users to monitor a wide array of services and applications, while Kadira is specifically tailored for Meteor applications, offering specialized data collection for Meteor metrics. Datadog's data collection is more versatile and suitable for a range of environments, while Kadira focuses on Meteor-specific data.
User Interface: Datadog provides a modern and user-friendly interface with customizable dashboards and visualizations, making it easier for users to monitor and analyze their data. On the other hand, Kadira has a simpler interface that is optimized for monitoring Meteor applications, providing specific metrics and insights tailored to the Meteor framework.
Pricing Structure: Datadog offers a tiered pricing structure based on the number of hosts or metrics monitored, offering flexibility for different business sizes. Kadira, on the other hand, has a more straightforward pricing model specifically designed for Meteor applications, with a focus on simplicity and value for Meteor users.
Alerting and Notification: Datadog provides robust alerting capabilities with customizable thresholds and notification channels, allowing users to set up alerts based on their specific needs. Kadira also offers alerting features but focuses more on real-time monitoring within the Meteor ecosystem, providing alerts for Meteor-specific performance issues.
Community and Support: Datadog has a large user community and extensive documentation available, offering users a wealth of resources and support. Kadira, being more specialized for Meteor, has a smaller community but provides tailored support for Meteor developers, ensuring that users receive focused assistance for their Meteor monitoring needs.
Scalability and Customization: Datadog is designed to scale effortlessly to monitor large environments and can be customized extensively to meet diverse monitoring requirements. Kadira, while focused on Meteor applications, may have limitations in scalability for non-Meteor projects and may lack the same level of customization options as Datadog.

In Summary, Datadog offers a versatile and comprehensive monitoring solution with a wide range of integrations and capabilities, while Kadira is specifically tailored for Meteor applications with specialized metrics and monitoring features.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs

CLI (Node.js)

Manual

Advice on Datadog, Kadira

Farzeem Diamond

Software Engineer at IVP

Jul 21, 2020

Needs adviceon

Datadog

Dynatrace

AppDynamics

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

Medeti

Jun 27, 2020

Needs adviceon

Amazon EKS

Kubernetes

AWS Elastic Load Balancing (ELB)

We are looking for a centralised monitoring solution for our application deployed on Amazon EKS. We would like to monitor using metrics from Kubernetes, AWS services (NeptuneDB, AWS Elastic Load Balancing (ELB), Amazon EBS, Amazon S3, etc) and application microservice's custom metrics.

We are expected to use around 80 microservices (not replicas). I think a total of 200-250 microservices will be there in the system with 10-12 slave nodes.

We tried Prometheus but it looks like maintenance is a big issue. We need to manage scaling, maintaining the storage, and dealing with multiple exporters and Grafana. I felt this itself needs few dedicated resources (at least 2-3 people) to manage. Not sure if I am thinking in the correct direction. Please confirm.

You mentioned Datadog and Sysdig charges per host. Does it charge per slave node?

1.51M views1.51M

Comments

Benoit

Principal Engineer at Sqreen

Sep 17, 2019

Decided

I chose Datadog APM because the much better APM insights it provides (flamegraph, percentiles by default).

The drawbacks of this decision are we had to move our production monitoring to TimescaleDB + Telegraf instead of NR Insight

NewRelic is definitely easier when starting out. Agent is only a lib and doesn't require a daemon

457k views457k

Comments

Detailed Comparison

Datadog	Kadira
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!	See what’s going on with your app with different performance metrics and traces. Kadira tracks all your client and server errors automatically. You can profile your app in production or locally with Kadira and analyze it using an easy-to-use CPU analyzer.
14-day Free Trial for an unlimited number of hosts;200+ turn-key integrations for data aggregation;Clean graphs of StatsD and other integrations;Slice and dice graphs and alerts by tags, roles, and more;Easy-to-use search for hosts, metrics, and tags;Alert notifications via e-mail and PagerDuty;Receive alerts on any metric, for a single host or an entire cluster;Full API access in more than 15 languages;Overlay metrics and events across disparate sources;Out-of-the-box and customizable monitoring dashboards;Easy way to compute rates, ratios, averages, or integrals;Sampling intervals of 10 seconds;Mute all alerts with 1 click during upgrades and maintenance;Tools for team collaboration	Performance Metrics and Traces;Error Tracking;CPU Profiling;System Metrics;Alerts;No Configuration Needed
Statistics
GitHub Stars -	GitHub Stars 214
GitHub Forks -	GitHub Forks 109
Stacks 9.8K	Stacks 51
Followers 8.2K	Followers 34
Votes 861	Votes 15
Pros & Cons
Pros 140 Monitoring for many apps (databases, web servers, etc) 107 Easy setup 87 Powerful ui 84 Powerful integrations 70 Great value Cons 20 Expensive 4 No errors exception tracking 2 External Network Goes Down You Wont Be Logging 1 Complicated	Pros 9 Best performance monitoring tool for the best framewor 4 Drop in integration 2 Just Look
Integrations
NGINX Google App Engine Apache HTTP Server Java Docker Pingdom MySQL Ruby Python Memcached	Meteor

What are some alternatives to Datadog, Kadira?

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.

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

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

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

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

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

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

Related Comparisons

Datadog vs Kadira: What are the differences?

Data Collection: Datadog offers extensive integrations and data collection capabilities, allowing users to monitor a wide array of services and applications, while Kadira is specifically tailored for Meteor applications, offering specialized data collection for Meteor metrics. Datadog's data collection is more versatile and suitable for a range of environments, while Kadira focuses on Meteor-specific data.
User Interface: Datadog provides a modern and user-friendly interface with customizable dashboards and visualizations, making it easier for users to monitor and analyze their data. On the other hand, Kadira has a simpler interface that is optimized for monitoring Meteor applications, providing specific metrics and insights tailored to the Meteor framework.
Pricing Structure: Datadog offers a tiered pricing structure based on the number of hosts or metrics monitored, offering flexibility for different business sizes. Kadira, on the other hand, has a more straightforward pricing model specifically designed for Meteor applications, with a focus on simplicity and value for Meteor users.
Alerting and Notification: Datadog provides robust alerting capabilities with customizable thresholds and notification channels, allowing users to set up alerts based on their specific needs. Kadira also offers alerting features but focuses more on real-time monitoring within the Meteor ecosystem, providing alerts for Meteor-specific performance issues.
Community and Support: Datadog has a large user community and extensive documentation available, offering users a wealth of resources and support. Kadira, being more specialized for Meteor, has a smaller community but provides tailored support for Meteor developers, ensuring that users receive focused assistance for their Meteor monitoring needs.
Scalability and Customization: Datadog is designed to scale effortlessly to monitor large environments and can be customized extensively to meet diverse monitoring requirements. Kadira, while focused on Meteor applications, may have limitations in scalability for non-Meteor projects and may lack the same level of customization options as Datadog.

Datadog vs Kadira

Overview