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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Chronosphere vs Jaeger

Chronosphere vs Jaeger

OverviewComparisonAlternatives

Overview

Jaeger
Jaeger
Stacks340
Followers464
Votes25
GitHub Stars22.0K
Forks2.7K
Chronosphere
Chronosphere
Stacks6
Followers9
Votes0

Chronosphere vs Jaeger: What are the differences?

# Introduction
Chronosphere and Jaeger are both open-source distributed tracing platforms used to monitor and troubleshoot microservices-based applications.

1. **Data Storage**: Chronosphere uses a native Time Series Platform for storing trace data, while Jaeger uses a pluggable storage backend allowing users to choose their preferred storage solution.
2. **Data Sampling**: Chronosphere offers various sampling techniques like head-based, tail-based, etc., whereas Jaeger primarily focuses on head-based sampling.
3. **Querying Capabilities**: Chronosphere provides advanced querying capabilities like filtering by service, operation, tags, and exporting traces to CSV, while Jaeger offers filtering by service and operation with limited export options.
4. **Metrics Integration**: Chronosphere integrates seamlessly with Prometheus for metrics monitoring, while Jaeger has the ability to ingest metrics but with less comprehensive integration features.
5. **User Interface**: Chronosphere offers a modern, user-friendly interface with enhanced visualization options, whereas Jaeger provides a simpler interface with basic visualization features.
6. **Community Support**: Chronosphere has a smaller but dedicated community providing support and frequent updates, while Jaeger boasts a larger community with extensive documentation and resources.

In Summary, Chronosphere and Jaeger differ in terms of data storage, sampling techniques, querying capabilities, metrics integration, user interface, and community support.

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Detailed Comparison

Jaeger
Jaeger
Chronosphere
Chronosphere

Jaeger, a Distributed Tracing System

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.

-
Prometheus integration; One-click ingestion path; Runs across cloud providers; Auto-dashboarding and alerting; Deep linked metrics and distributed traces
Statistics
GitHub Stars
22.0K
GitHub Stars
-
GitHub Forks
2.7K
GitHub Forks
-
Stacks
340
Stacks
6
Followers
464
Followers
9
Votes
25
Votes
0
Pros & Cons
Pros
  • 7
    Open Source
  • 7
    Easy to install
  • 6
    Feature Rich UI
  • 5
    CNCF Project
No community feedback yet
Integrations
Golang
Golang
Elasticsearch
Elasticsearch
Cassandra
Cassandra
Kubernetes
Kubernetes
Prometheus
Prometheus
Grafana
Grafana
StatsD
StatsD
Google Cloud Platform
Google Cloud Platform
Graphite
Graphite

What are some alternatives to Jaeger, Chronosphere?

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.

Nagios

Nagios

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

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

Stackdriver

Stackdriver

Google Stackdriver provides powerful monitoring, logging, and diagnostics. It equips you with insight into the health, performance, and availability of cloud-powered applications, enabling you to find and fix issues faster.

Zabbix

Zabbix

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

Sensu

Sensu

Sensu is the future-proof solution for multi-cloud monitoring at scale. The Sensu monitoring event pipeline empowers businesses to automate their monitoring workflows and gain deep visibility into their multi-cloud environments.

Graphite

Graphite

Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand

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