Circonus vs Datadog

Overview

Datadog

Stacks9.8K

Followers8.2K

Votes861

Circonus

Stacks1

Followers6

Votes0

Circonus vs Datadog: What are the differences?

# Introduction

Key differences between Circonus and Datadog are highlighted below:

1. **Data Collection and Storage**: Circonus focuses on storing data in an efficient manner with high granularity, utilizing a time series database that allows for long-term storage and trend analysis. On the other hand, Datadog provides a cloud-based solution that automatically processes, indexes, and stores data, offering real-time analytics and alerting capabilities.
   
2. **Monitoring Capabilities**: Circonus offers extensive monitoring capabilities for infrastructure, applications, and network performance, with a strong emphasis on custom metrics and outlier detection. In contrast, Datadog provides a wide range of integrations and pre-built monitoring solutions, making it easier for users to set up and monitor their systems quickly.
   
3. **Alerting and Notification**: Circonus offers flexible and customizable alerting options, allowing users to define specific conditions and thresholds for triggering alerts. Datadog, on the other hand, provides a user-friendly alerting system with built-in intelligence that helps prevent alert fatigue by eliminating noisy alerts and identifying critical issues.
   
4. **Scalability and Flexibility**: Circonus is designed for scalability and flexibility, allowing users to collect and analyze large amounts of data efficiently, making it suitable for large enterprises and complex architectures. Datadog, on the other hand, offers a more user-friendly interface with easy-to-use dashboards and visualizations, making it ideal for small to medium-sized businesses.
   
5. **Cost and Pricing Structure**: Circonus offers a pay-as-you-go pricing model based on the amount of data ingested and stored, providing cost-effective solutions for users with varying data requirements. In contrast, Datadog's pricing is based on the number of monitored hosts, making it more suitable for organizations with a fixed infrastructure size and predictable monitoring needs.

6. **Integrations and Ecosystem**: Circonus provides a robust API and integration framework, allowing users to customize and extend the platform's functionality with ease, while Datadog offers a rich ecosystem of third-party integrations and plugins that enhance its monitoring capabilities and support various technologies.

In Summary, Circonus and Datadog differ in their data collection and storage methods, monitoring capabilities, alerting and notification systems, scalability, cost structures, and integrations.

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Advice on Datadog, Circonus

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	Circonus
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!	It provides your team the tools, support and insight to deliver the best online experience for your customer.
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	Bandwidth Monitoring; Baseline Manager Dashboard; Internet Usage Monitoring; IP Address Monitoring; Network Diagnosis; Network Resource Management; Server Monitoring.
Statistics
Stacks 9.8K	Stacks 1
Followers 8.2K	Followers 6
Votes 861	Votes 0
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	No community feedback yet
Integrations
NGINX Google App Engine Apache HTTP Server Java Docker Pingdom MySQL Ruby Python Memcached	NGINX Kafka Nagios Apache Aurora CentOS Prometheus PagerDuty Kubernetes PostgreSQL Node.js

What are some alternatives to Datadog, Circonus?

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.

Grafana

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.

Kibana

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

Prometheus

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

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.

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

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.

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

AppDynamics

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

Zabbix

Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

Related Comparisons

Circonus vs Datadog: What are the differences?

# Introduction

Key differences between Circonus and Datadog are highlighted below:

1. **Data Collection and Storage**: Circonus focuses on storing data in an efficient manner with high granularity, utilizing a time series database that allows for long-term storage and trend analysis. On the other hand, Datadog provides a cloud-based solution that automatically processes, indexes, and stores data, offering real-time analytics and alerting capabilities.
   
2. **Monitoring Capabilities**: Circonus offers extensive monitoring capabilities for infrastructure, applications, and network performance, with a strong emphasis on custom metrics and outlier detection. In contrast, Datadog provides a wide range of integrations and pre-built monitoring solutions, making it easier for users to set up and monitor their systems quickly.
   
3. **Alerting and Notification**: Circonus offers flexible and customizable alerting options, allowing users to define specific conditions and thresholds for triggering alerts. Datadog, on the other hand, provides a user-friendly alerting system with built-in intelligence that helps prevent alert fatigue by eliminating noisy alerts and identifying critical issues.
   
4. **Scalability and Flexibility**: Circonus is designed for scalability and flexibility, allowing users to collect and analyze large amounts of data efficiently, making it suitable for large enterprises and complex architectures. Datadog, on the other hand, offers a more user-friendly interface with easy-to-use dashboards and visualizations, making it ideal for small to medium-sized businesses.
   
5. **Cost and Pricing Structure**: Circonus offers a pay-as-you-go pricing model based on the amount of data ingested and stored, providing cost-effective solutions for users with varying data requirements. In contrast, Datadog's pricing is based on the number of monitored hosts, making it more suitable for organizations with a fixed infrastructure size and predictable monitoring needs.

6. **Integrations and Ecosystem**: Circonus provides a robust API and integration framework, allowing users to customize and extend the platform's functionality with ease, while Datadog offers a rich ecosystem of third-party integrations and plugins that enhance its monitoring capabilities and support various technologies.

In Summary, Circonus and Datadog differ in their data collection and storage methods, monitoring capabilities, alerting and notification systems, scalability, cost structures, and integrations.

Circonus vs Datadog

Overview