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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.

Advice on Circonus and Datadog
Farzeem Diamond Jiwani
Software Engineer at IVP · | 8 upvotes · 1.5M views
Needs advice
on
AppDynamicsAppDynamicsDatadogDatadog
and
DynatraceDynatrace

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!

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Needs advice
on
DatadogDatadogNew RelicNew Relic
and
SysdigSysdig

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?

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Replies (3)
Recommends
on
DatadogDatadog

Can't say anything to Sysdig. I clearly prefer Datadog as

  • they provide plenty of easy to "switch-on" plugins for various technologies (incl. most of AWS)
  • easy to code (python) agent plugins / api for own metrics
  • brillant dashboarding / alarms with many customization options
  • pricing is OK, there are cheaper options for specific use cases but if you want superior dashboarding / alarms I haven't seen a good competitor (despite your own Prometheus / Grafana / Kibana dog food)

IMHO NewRelic is "promising since years" ;) good ideas but bad integration between their products. Their Dashboard query language is really nice but lacks critical functions like multiple data sets or advanced calculations. Needless to say you get all of that with Datadog.

Need help setting up a monitoring / logging / alarm infrastructure? Send me a message!

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Maik Schröder
Recommends
on
InstanaInstana

Hi Medeti,

you are right. Building based on your stack something with open source is heavy lifting. A lot of people I know start with such a set-up, but quickly run into frustration as they need to dedicated their best people to build a monitoring which is doing the job in a professional way.

As you are microservice focussed and are looking for 'low implementation and maintenance effort', you might want to have a look at INSTANA, which was built with modern tool stacks in mind. https://www.instana.com/apm-for-microservices/

We have a public sand-box available if you just want to have a look at the product once and of course also a free-trial: https://www.instana.com/getting-started-with-apm/

Let me know if you need anything on top.

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Attila Fulop
Management Advisor at artkonekt · | 2 upvotes · 347.6K views

I have hands on production experience both with New Relic and Datadog. I personally prefer Datadog over NewRelic because of the UI, the Documentation and the overall user/developer experience.

NewRelic however, can do basically the same things as Datadog can, and some of the features like alerting have been present in NewRelic for longer than in Datadog. The cool thing about NewRelic is their last-summer-updated pricing: you no longer pay per host but after data you send towards New Relic. This can be a huge cost saver depending on your particular setup

https://docs.newrelic.com/docs/accounts/accounts-billing/new-relic-one-pricing-billing/new-relic-one-pricing-billing

I'd go for Datadog, but given you have lots of containers I would also make a cost calculation. If the price difference is significant and there's a budget constraint NewRelic might be the better choice.

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Decisions about Circonus and Datadog
Attila Fulop

I haven't heard much about Datadog until about a year ago. Ironically, the NewRelic sales person who I had a series of trainings with was trash talking about Datadog a lot. That drew my attention to Datadog and I gave it a try at another client project where we needed log handling, dashboards and alerting.

In 2019, Datadog was already offering log management and from that perspective, it was ahead of NewRelic. Other than that, from my perspective, the two tools are offering a very-very similar set of tools. Therefore I wouldn't say there's a significant difference between the two, the decision is likely a matter of taste. The pricing is also very similar.

The reasons why we chose Datadog over NewRelic were:

  • The presence of log handling feature (since then, logging is GA at NewRelic as well since falls 2019).
  • The setup was easier even though I already had experience with NewRelic, including participation in NewRelic trainings.
  • The UI of Datadog is more compact and my experience is smoother.
  • The NewRelic UI is very fragmented and New Relic One is just increasing this experience for me.
  • The log feature of Datadog is very well designed, I find very useful the tagging logs with services. The log filtering is also very awesome.

Bottom line is that both tools are great and it makes sense to discover both and making the decision based on your use case. In our case, Datadog was the clear winner due to its UI, ease of setup and the awesome logging and alerting features.

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Benoit Larroque
Principal Engineer at Sqreen · | 4 upvotes · 445.4K views

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

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Pros of Circonus
Pros of Datadog
    Be the first to leave a pro
    • 139
      Monitoring for many apps (databases, web servers, etc)
    • 107
      Easy setup
    • 87
      Powerful ui
    • 84
      Powerful integrations
    • 70
      Great value
    • 54
      Great visualization
    • 46
      Events + metrics = clarity
    • 41
      Notifications
    • 41
      Custom metrics
    • 39
      Flexibility
    • 19
      Free & paid plans
    • 16
      Great customer support
    • 15
      Makes my life easier
    • 10
      Adapts automatically as i scale up
    • 9
      Easy setup and plugins
    • 8
      Super easy and powerful
    • 7
      AWS support
    • 7
      In-context collaboration
    • 6
      Rich in features
    • 5
      Docker support
    • 4
      Cost
    • 4
      Full visibility of applications
    • 4
      Monitor almost everything
    • 4
      Cute logo
    • 4
      Automation tools
    • 4
      Source control and bug tracking
    • 4
      Simple, powerful, great for infra
    • 4
      Easy to Analyze
    • 4
      Best than others
    • 3
      Best in the field
    • 3
      Expensive
    • 3
      Good for Startups
    • 3
      Free setup
    • 2
      APM

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    Cons of Circonus
    Cons of Datadog
      Be the first to leave a con
      • 20
        Expensive
      • 4
        No errors exception tracking
      • 2
        External Network Goes Down You Wont Be Logging
      • 1
        Complicated

      Sign up to add or upvote consMake informed product decisions

      What is Circonus?

      It provides your team the tools, support and insight to deliver the best online experience for your customer.

      What is 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!

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use Circonus?
      What companies use Datadog?
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        What are some alternatives to Circonus and Datadog?
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