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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Graphite vs OpenTelemetry

Graphite vs OpenTelemetry

OverviewComparisonAlternatives

Overview

Graphite
Graphite
Stacks383
Followers419
Votes42
GitHub Stars6.0K
Forks1.3K
OpenTelemetry
OpenTelemetry
Stacks205
Followers148
Votes4

Graphite vs OpenTelemetry: What are the differences?

Introduction

In this article, we will explore the key differences between Graphite and OpenTelemetry, two popular solutions for monitoring and observability. Both Graphite and OpenTelemetry are used to collect, store, and visualize metrics, but they differ in several important aspects.

  1. Data Collection and Instrumentation: Graphite relies on a push-based model for data collection, where applications send metrics to Graphite periodically. On the other hand, OpenTelemetry follows a pull-based model, agents running alongside applications collect and send metrics to the OpenTelemetry backend.

  2. Flexibility and Extensibility: Graphite provides a fixed set of metrics and data types, making it less flexible for custom metrics. OpenTelemetry, on the other hand, is highly extensible, supporting automatic instrumentation of different platforms and programming languages, allowing users to collect custom metrics and trace data.

  3. Data Model and Querying: Graphite uses a simple hierarchical naming convention to organize metrics and relies on a query language called Graphite Query Language (GQL) for data retrieval. OpenTelemetry follows a more structured data model, with defined semantics and attributes, and offers powerful querying capabilities through a query language like PromQL or SQL.

  4. Scalability and Distributed Systems: Graphite is primarily designed for use in single-server environments and lacks built-in support for distributed systems. OpenTelemetry, on the other hand, is designed to support distributed tracing and has built-in features for observing interactions between services in a microservices architecture.

  5. Community Support and Ecosystem: Graphite has been around for a long time and has a large user community, resulting in a mature ecosystem of tools and plugins. OpenTelemetry, although relatively new, is rapidly gaining popularity and has a growing community, with support from major tech companies and a wide range of integrations with other observability tools.

  6. Cloud-Native and Kubernetes Integration: OpenTelemetry is built with cloud-native environments in mind and has native integration with popular container orchestration systems like Kubernetes. Graphite, on the other hand, requires additional configuration and setup to run effectively in cloud-native environments.

In summary, Graphite and OpenTelemetry differ in their data collection and instrumentation methods, flexibility and extensibility, data model and querying capabilities, scalability in distributed systems, community support and ecosystem, and native integration with cloud-native environments. Users can choose between them based on their specific monitoring and observability requirements.

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Detailed Comparison

Graphite
Graphite
OpenTelemetry
OpenTelemetry

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

It provides a single set of APIs, libraries, agents, and collector services to capture distributed traces and metrics from your application. You can analyze them using Prometheus, Jaeger, and other observability tools.

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
-
GitHub Forks
1.3K
GitHub Forks
-
Stacks
383
Stacks
205
Followers
419
Followers
148
Votes
42
Votes
4
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
  • 4
    OSS
Integrations
Sensu
Sensu
Nagios
Nagios
Logstash
Logstash
Windows Server
Windows Server
Netdata
Netdata
Riemann
Riemann
Diamond
Diamond
Telegraf
Telegraf
collectd
collectd
Ganglia
Ganglia
No integrations available

What are some alternatives to Graphite, OpenTelemetry?

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.

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

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.

Lumigo

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

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).

Jaeger

Jaeger

Jaeger, a Distributed Tracing System

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