Datadog vs Keymetrics

Overview

Datadog

Stacks9.8K

Followers8.2K

Votes861

Keymetrics

Stacks27

Followers28

Votes31

GitHub Stars42.7K

Forks2.7K

Datadog vs Keymetrics: What are the differences?

<Write Introduction here>

Monitoring Capabilities: Datadog offers a wide range of monitoring capabilities including infrastructure, applications, logs, and user experience, providing a comprehensive view of the system's health. On the other hand, Keymetrics mainly focuses on monitoring Node.js applications, making it more specialized in this specific type of monitoring.
Data Visualization: Datadog provides robust data visualization tools with interactive graphs, dashboards, and alerts, allowing users to easily understand and analyze the data. In contrast, Keymetrics offers simpler data visualization features compared to Datadog, catering more towards a concise presentation of Node.js application metrics.
Pricing Model: Datadog typically uses a pay-as-you-go pricing model based on the amount of data ingested and monitored, which can be flexible for different usage levels. Keymetrics, however, offers fixed pricing plans based on the number of monitored applications, making it easier to predict costs but potentially restricting scalability for larger enterprises.
Alerting and Notifications: Datadog provides advanced alerting and notification features, allowing users to set up custom alerts based on various metrics and thresholds, and receive notifications through multiple channels. In contrast, Keymetrics' alerting capabilities are more focused on Node.js-specific metrics and may not offer the same level of customization as Datadog.
Integration Ecosystem: Datadog has a broad integration ecosystem with various third-party tools, services, and platforms, enabling seamless integration with different systems and enhancing overall monitoring capabilities. Keymetrics, while offering some integrations, may not have the same extensive ecosystem as Datadog, potentially limiting the range of integrations available for users.

In Summary, Datadog offers a comprehensive monitoring solution with broad capabilities, extensive data visualization tools, flexible pricing, advanced alerting features, and a diverse integration ecosystem compared to Keymetrics, which specializes in Node.js monitoring, simpler data visualization, fixed pricing plans, more focused alerting, and a limited integration ecosystem.

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Advice on Datadog, Keymetrics

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	Keymetrics
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!	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.
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	Process management;CPU / Memory Monitoring;Log facilities;Load balancing / 0s reload downtime;Startup script generation;Run Next generation Javascript
Statistics
GitHub Stars -	GitHub Stars 42.7K
GitHub Forks -	GitHub Forks 2.7K
Stacks 9.8K	Stacks 27
Followers 8.2K	Followers 28
Votes 861	Votes 31
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 7 Easy Setup 6 Realtime App CPU and RAM consumption 5 Monitoring for many Apps 4 Mobile friendly 4 Alarm on Code Failure
Integrations
NGINX Google App Engine Apache HTTP Server Java Docker Pingdom MySQL Ruby Python Memcached	Node.js

What are some alternatives to Datadog, Keymetrics?

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.

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

Scout

Scout APM helps developers quickly pinpoint & resolve performance issues before the customer ever sees them. Spend less time debugging & more time building with a streamlined interface & tracing logic that ties bottlenecks to source code.

Related Comparisons

Datadog vs Keymetrics: What are the differences?

<Write Introduction here>

Monitoring Capabilities: Datadog offers a wide range of monitoring capabilities including infrastructure, applications, logs, and user experience, providing a comprehensive view of the system's health. On the other hand, Keymetrics mainly focuses on monitoring Node.js applications, making it more specialized in this specific type of monitoring.
Data Visualization: Datadog provides robust data visualization tools with interactive graphs, dashboards, and alerts, allowing users to easily understand and analyze the data. In contrast, Keymetrics offers simpler data visualization features compared to Datadog, catering more towards a concise presentation of Node.js application metrics.
Pricing Model: Datadog typically uses a pay-as-you-go pricing model based on the amount of data ingested and monitored, which can be flexible for different usage levels. Keymetrics, however, offers fixed pricing plans based on the number of monitored applications, making it easier to predict costs but potentially restricting scalability for larger enterprises.
Alerting and Notifications: Datadog provides advanced alerting and notification features, allowing users to set up custom alerts based on various metrics and thresholds, and receive notifications through multiple channels. In contrast, Keymetrics' alerting capabilities are more focused on Node.js-specific metrics and may not offer the same level of customization as Datadog.
Integration Ecosystem: Datadog has a broad integration ecosystem with various third-party tools, services, and platforms, enabling seamless integration with different systems and enhancing overall monitoring capabilities. Keymetrics, while offering some integrations, may not have the same extensive ecosystem as Datadog, potentially limiting the range of integrations available for users.

Datadog vs Keymetrics

Overview