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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Grafana vs OpenTracing vs Thanos

Grafana vs OpenTracing vs Thanos

OverviewDecisionsComparisonAlternatives

Overview

Grafana
Grafana
Stacks18.4K
Followers14.6K
Votes415
GitHub Stars70.7K
Forks13.1K
OpenTracing
OpenTracing
Stacks243
Followers101
Votes0
GitHub Stars3.5K
Forks315
Thanos
Thanos
Stacks100
Followers126
Votes0

Grafana vs OpenTracing vs Thanos: What are the differences?

Introduction:
Grafana, OpenTracing, and Thanos are popular monitoring tools used in the field of observability. Here, we will delve into the key differences between Grafana, OpenTracing, and Thanos.

1. **Data Visualization**:
Grafana primarily focuses on data visualization through customizable dashboards, allowing users to create and visualize metrics in various formats such as graphs, charts, and tables. In contrast, OpenTracing and Thanos are more geared towards tracing and monitoring distributed systems rather than visualization features.

2. **Tracing Capabilities**:
OpenTracing is specifically designed for distributed tracing, providing APIs that standardize the instrumentation of code for collecting traces across services. Thanos, on the other hand, has limited tracing capabilities compared to OpenTracing, as it primarily focuses on scalable metrics storage and querying.

3. **Metrics Storage**:
Thanos excels in metrics storage by offering long-term retention and global querying of Prometheus metrics data, making it an ideal solution for monitoring large-scale infrastructures. Grafana, while it can connect to data sources like Prometheus and Graphite, relies on these external systems for metrics storage and retrieval.

4. **Scalability**:
Thanos is known for its scalability, as it can handle large amounts of data by implementing a global view of metrics across multiple Prometheus instances. In contrast, Grafana's scalability is largely dependent on the performance and resources of the underlying data sources it connects to.

5. **Alerting Capabilities**:
Grafana offers robust alerting capabilities that allow users to set up alerts based on predefined conditions and thresholds, providing proactive monitoring and notification mechanisms. OpenTracing and Thanos, being more focused on tracing and metrics storage respectively, have limited built-in alerting functionalities compared to Grafana.

6. **Community Support and Ecosystem**:
Grafana boasts a strong community support and a rich ecosystem of plugins and integrations, making it a versatile tool for various monitoring and visualization needs. While OpenTracing and Thanos also have their respective communities, they may not be as extensive as Grafana's ecosystem in terms of available resources and community-driven development.

In Summary, Grafana is ideal for data visualization, OpenTracing for distributed tracing, and Thanos for scalable metrics storage and querying in monitoring large-scale infrastructures.

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Advice on Grafana, OpenTracing, Thanos

Leonardo Henrique da
Leonardo Henrique da

Pleno QA Enginneer at SolarMarket

Dec 8, 2020

Decided

The objective of this work was to develop a system to monitor the materials of a production line using IoT technology. Currently, the process of monitoring and replacing parts depends on manual services. For this, load cells, microcontroller, Broker MQTT, Telegraf, InfluxDB, and Grafana were used. It was implemented in a workflow that had the function of collecting sensor data, storing it in a database, and visualizing it in the form of weight and quantity. With these developed solutions, he hopes to contribute to the logistics area, in the replacement and control of materials.

403k views403k
Comments
StackShare
StackShare

Jun 25, 2019

Needs advice

From a StackShare Community member: “We need better analytics & insights into our Elasticsearch cluster. Grafana, which ships with advanced support for Elasticsearch, looks great but isn’t officially supported/endorsed by Elastic. Kibana, on the other hand, is made and supported by Elastic. I’m wondering what people suggest in this situation."

663k views663k
Comments
Susmita
Susmita

Senior SRE at African Bank

Jul 28, 2020

Needs adviceonGrafanaGrafana

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.

869k views869k
Comments

Detailed Comparison

Grafana
Grafana
OpenTracing
OpenTracing
Thanos
Thanos

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.

Consistent, expressive, vendor-neutral APIs for distributed tracing and context propagation.

Thanos is a set of components that can be composed into a highly available metric system with unlimited storage capacity. It can be added seamlessly on top of existing Prometheus deployments and leverages the Prometheus 2.0 storage format to cost-efficiently store historical metric data in any object storage while retaining fast query latencies. Additionally, it provides a global query view across all Prometheus installations and can merge data from Prometheus HA pairs on the fly.

Create, edit, save & search dashboards;Change column spans and row heights;Drag and drop panels to rearrange;Use InfluxDB or Elasticsearch as dashboard storage;Import & export dashboard (json file);Import dashboard from Graphite;Templating
-
Global querying view across all connected Prometheus servers; Deduplication and merging of metrics collected from Prometheus HA pairs; Seamless integration with existing Prometheus setups; Any object storage as its only, optional dependency; Downsampling historical data for massive query speedup; Cross-cluster federation; Fault-tolerant query routing; Simple gRPC "Store API" for unified data access across all metric data; Easy integration points for custom metric providers
Statistics
GitHub Stars
70.7K
GitHub Stars
3.5K
GitHub Stars
-
GitHub Forks
13.1K
GitHub Forks
315
GitHub Forks
-
Stacks
18.4K
Stacks
243
Stacks
100
Followers
14.6K
Followers
101
Followers
126
Votes
415
Votes
0
Votes
0
Pros & Cons
Pros
  • 89
    Beautiful
  • 68
    Graphs are interactive
  • 57
    Free
  • 56
    Easy
  • 34
    Nicer than the Graphite web interface
Cons
  • 1
    No interactive query builder
No community feedback yet
No community feedback yet
Integrations
Graphite
Graphite
InfluxDB
InfluxDB
Golang
Golang
Prometheus
Prometheus

What are some alternatives to Grafana, OpenTracing, Thanos?

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.

Graphite

Graphite

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

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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