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

Telegraf vs Thanos

OverviewComparisonAlternatives

Overview

Telegraf
Telegraf
Stacks289
Followers321
Votes16
GitHub Stars16.4K
Forks5.7K
Thanos
Thanos
Stacks100
Followers126
Votes0

Telegraf vs Thanos: What are the differences?

What is Telegraf? The plugin-driven server agent for collecting & reporting metrics. 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.

What is Thanos? Highly available Prometheus setup with long term storage capabilities. 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.

Telegraf and Thanos can be primarily classified as "Monitoring" tools.

Telegraf and Thanos are both open source tools. Telegraf with 7.14K GitHub stars and 2.7K forks on GitHub appears to be more popular than Thanos with 4.04K GitHub stars and 463 GitHub forks.

According to the StackShare community, Telegraf has a broader approval, being mentioned in 17 company stacks & 17 developers stacks; compared to Thanos, which is listed in 3 company stacks and 4 developer stacks.

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Detailed Comparison

Telegraf
Telegraf
Thanos
Thanos

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.

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.

-
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
16.4K
GitHub Stars
-
GitHub Forks
5.7K
GitHub Forks
-
Stacks
289
Stacks
100
Followers
321
Followers
126
Votes
16
Votes
0
Pros & Cons
Pros
  • 5
    One agent can work as multiple exporter with min hndlng
  • 5
    Cohesioned stack for monitoring
  • 2
    Metrics
  • 2
    Open Source
  • 1
    Many hundreds of plugins
No community feedback yet
Integrations
No integrations available
Prometheus
Prometheus

What are some alternatives to Telegraf, Thanos?

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.

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).

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