Graphite vs Jaeger

Overview

Graphite

Stacks383

Followers419

Votes42

GitHub Stars6.0K

Forks1.3K

Jaeger

Stacks342

Followers464

Votes25

GitHub Stars22.0K

Forks2.7K

Graphite vs Jaeger: What are the differences?

# Key Differences between Graphite and Jaeger

Graphite and Jaeger are both widely used tools for monitoring and tracing applications, but they have some key differences that set them apart. 

1. **Data Model**: Graphite uses a time-series database for storing and retrieving data, focusing on metrics and graphs. In contrast, Jaeger is a distributed tracing system that records and displays transaction traces in microservices architectures, showing the flow of requests across different services.

2. **Metric Collection**: Graphite mainly focuses on collecting metric data from various sources and visualizing it through graphs and dashboards. On the other hand, Jaeger is more specialized in distributed tracing, capturing the end-to-end flow of requests and providing insights into performance and dependencies between services.

3. **Querying Capabilities**: Graphite offers powerful querying capabilities to analyze metric data, supporting functions like aggregations, transformations, and graphing tools. Jaeger, on the other hand, provides advanced querying features for tracing data, such as filtering based on span tags, duration analysis, and service dependency visualizations.

4. **Storage Backend**: Graphite typically uses Whisper or other time-series databases as its storage backend, optimized for storing and retrieving metric data efficiently. In contrast, Jaeger utilizes Elasticsearch or Cassandra as its backend store, designed to handle large-scale distributed tracing data efficiently.

5. **Integration with Ecosystem**: Graphite has a strong integration with various monitoring tools and frameworks like StatsD, Grafana, and Prometheus, making it easier to build a complete monitoring solution. Jaeger is well-integrated with cloud-native technologies like Kubernetes, OpenTracing, and Zipkin, enhancing its capabilities in observing modern distributed systems.

6. **Granularity of Data**: In terms of granularity, Graphite provides minute-level resolution for metric data, suitable for monitoring trends and performance analysis over time. Jaeger, with its distributed tracing approach, offers more fine-grained data at the transaction level, enabling detailed analysis of request flows and service interactions.

In Summary, Graphite and Jaeger differ in their data model, metric collection, querying capabilities, storage backend, integration with ecosystem, and granularity of data, catering to distinct monitoring and tracing needs in modern application environments.

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CLI (Node.js)

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Advice on Graphite, Jaeger

Susmita

Senior SRE at African Bank

Jul 28, 2020

Needs adviceon

Grafana

Looking for a tool which can be used for mainly dashboard purposes, but here are the main requirements:

Must be able to get custom data from AS400,
Able to display automation test results,
System monitoring / Nginx API,
Able to get data from 3rd parties DB.

Grafana is almost solving all the problems, except AS400 and no database to get automation test results.

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Comments

Detailed Comparison

Graphite	Jaeger
Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand	Jaeger, a Distributed Tracing System
carbon - a Twisted daemon that listens for time-series data;whisper - a simple database library for storing time-series data (similar in design to RRD);graphite webapp - A Django webapp that renders graphs on-demand using Cairo	-
Statistics
GitHub Stars 6.0K	GitHub Stars 22.0K
GitHub Forks 1.3K	GitHub Forks 2.7K
Stacks 383	Stacks 342
Followers 419	Followers 464
Votes 42	Votes 25
Pros & Cons
Pros 16 Render any graph 9 Great functions to apply on timeseries 8 Well supported integrations 6 Includes event tracking 3 Rolling aggregation makes storage managable	Pros 7 Open Source 7 Easy to install 6 Feature Rich UI 5 CNCF Project
Integrations
Sensu Nagios Logstash Windows Server Netdata Riemann Diamond Telegraf collectd Ganglia	Golang Elasticsearch Cassandra

What are some alternatives to Graphite, Jaeger?

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.

Nagios

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

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

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 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.

Lumigo

Lumigo is an observability platform built for developers, unifying distributed tracing with payload data, log management, and real-time metrics to help you deeply understand and troubleshoot your systems.

StatsD

It is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services (e.g., Graphite).

Telegraf

It is an agent for collecting, processing, aggregating, and writing metrics. Design goals are to have a minimal memory footprint with a plugin system so that developers in the community can easily add support for collecting metrics.

Related Comparisons

Graphite vs Jaeger: What are the differences?

# Key Differences between Graphite and Jaeger

Graphite and Jaeger are both widely used tools for monitoring and tracing applications, but they have some key differences that set them apart. 

1. **Data Model**: Graphite uses a time-series database for storing and retrieving data, focusing on metrics and graphs. In contrast, Jaeger is a distributed tracing system that records and displays transaction traces in microservices architectures, showing the flow of requests across different services.

2. **Metric Collection**: Graphite mainly focuses on collecting metric data from various sources and visualizing it through graphs and dashboards. On the other hand, Jaeger is more specialized in distributed tracing, capturing the end-to-end flow of requests and providing insights into performance and dependencies between services.

3. **Querying Capabilities**: Graphite offers powerful querying capabilities to analyze metric data, supporting functions like aggregations, transformations, and graphing tools. Jaeger, on the other hand, provides advanced querying features for tracing data, such as filtering based on span tags, duration analysis, and service dependency visualizations.

4. **Storage Backend**: Graphite typically uses Whisper or other time-series databases as its storage backend, optimized for storing and retrieving metric data efficiently. In contrast, Jaeger utilizes Elasticsearch or Cassandra as its backend store, designed to handle large-scale distributed tracing data efficiently.

5. **Integration with Ecosystem**: Graphite has a strong integration with various monitoring tools and frameworks like StatsD, Grafana, and Prometheus, making it easier to build a complete monitoring solution. Jaeger is well-integrated with cloud-native technologies like Kubernetes, OpenTracing, and Zipkin, enhancing its capabilities in observing modern distributed systems.

6. **Granularity of Data**: In terms of granularity, Graphite provides minute-level resolution for metric data, suitable for monitoring trends and performance analysis over time. Jaeger, with its distributed tracing approach, offers more fine-grained data at the transaction level, enabling detailed analysis of request flows and service interactions.

Graphite vs Jaeger

Overview