StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. Chronosphere vs Circonus

Chronosphere vs Circonus

OverviewComparisonAlternatives

Overview

Circonus
Circonus
Stacks1
Followers6
Votes0
Chronosphere
Chronosphere
Stacks6
Followers9
Votes0

Chronosphere vs Circonus: What are the differences?

Introduction

In the competitive landscape of monitoring tools, understanding the key differences between Chronosphere and Circonus can help organizations make informed decisions about which tool best fits their needs.

  1. Data Resolution: Chronosphere offers one-second data resolution, providing high granularity for detailed analysis and troubleshooting. In contrast, Circonus offers a more broad approach with minute-level resolution, sacrificing some detail for lower storage costs and reduced system load.

  2. Pricing Model: Chronosphere follows a usage-based pricing model, where customers pay for the resources they consume. On the other hand, Circonus offers a more traditional fixed pricing model based on the number of metrics being monitored, making it easier for budget forecasting but potentially less cost-efficient for high-volume users.

  3. Custom Metrics Support: Chronosphere provides robust support for custom metrics, allowing users to collect and analyze data beyond standard system metrics. Circonus, while also offering custom metric support, may require additional configuration and setup compared to Chronosphere.

  4. Dashboard Customization Options: Circonus offers a highly customizable dashboard interface, allowing users to create tailored views of their monitoring data. In contrast, Chronosphere provides a more streamlined dashboard experience with preset layouts and visualization options, which may be more user-friendly for less experienced users.

  5. Alerting Capabilities: Circonus offers advanced alerting capabilities with flexible thresholds, sophisticated analytics, and integration with various notification channels. Chronosphere, while also providing alerting features, may have slightly fewer customization options and integrations compared to Circonus.

  6. Scalability and Performance: Chronosphere is built on a scalable architecture designed to handle large volumes of data and high-velocity streams efficiently. Circonus also offers scalability features but may have limitations in performance when dealing with extremely large datasets or spikes in traffic.

In Summary, understanding the nuances in data resolution, pricing, custom metrics support, dashboard options, alerting capabilities, and scalability/performance can guide organizations in choosing between Chronosphere and Circonus for their monitoring needs.

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)
or
Manual

Detailed Comparison

Circonus
Circonus
Chronosphere
Chronosphere

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

It provides a cloud-native monitoring solution that supercharges open source standard tools such as Prometheus and OpenTelemetry. It combines metrics, alerting, and distributed tracing into one seamless experience that heavily reduces both time to detection and time to mitigation, ensuring your business is up and running 24/7. Users rely on this platform to provide them with a sophisticated end-to-end solution where root causing an issue is one-click away.

Bandwidth Monitoring; Baseline Manager Dashboard; Internet Usage Monitoring; IP Address Monitoring; Network Diagnosis; Network Resource Management; Server Monitoring.
Prometheus integration; One-click ingestion path; Runs across cloud providers; Auto-dashboarding and alerting; Deep linked metrics and distributed traces
Statistics
Stacks
1
Stacks
6
Followers
6
Followers
9
Votes
0
Votes
0
Integrations
NGINX
NGINX
Kafka
Kafka
Nagios
Nagios
Apache Aurora
Apache Aurora
CentOS
CentOS
Prometheus
Prometheus
PagerDuty
PagerDuty
Kubernetes
Kubernetes
PostgreSQL
PostgreSQL
Node.js
Node.js
Kubernetes
Kubernetes
Prometheus
Prometheus
Grafana
Grafana
StatsD
StatsD
Google Cloud Platform
Google Cloud Platform
Graphite
Graphite

What are some alternatives to Circonus, Chronosphere?

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!

Grafana

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

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

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.

Amazon CloudWatch

Amazon CloudWatch

It helps you gain system-wide visibility into resource utilization, application performance, and operational health. It retrieve your monitoring data, view graphs to help take automated action based on the state of your cloud environment.

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.

Nagios

Nagios

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

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.

Netdata

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

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

GitHub
Bitbucket

AWS CodeCommit vs Bitbucket vs GitHub

Kubernetes
Rancher

Docker Swarm vs Kubernetes vs Rancher

gulp
Grunt

Grunt vs Webpack vs gulp

Graphite
Kibana

Grafana vs Graphite vs Kibana