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

Graphite vs Thanos

OverviewDecisionsComparisonAlternatives

Overview

Graphite
Graphite
Stacks383
Followers419
Votes42
GitHub Stars6.0K
Forks1.3K
Thanos
Thanos
Stacks100
Followers126
Votes0

Graphite vs Thanos: What are the differences?

## Introduction
Graphite and Thanos are both popular tools used for monitoring and observability in modern IT infrastructure. While they may seem similar at first glance, there are key differences that make each unique in its own way.

1. **Data Storage**: Graphite stores its data in Whisper, a fixed-size database optimized for writes. On the other hand, Thanos uses object storage like Amazon S3 or Google Cloud Storage, allowing for virtually unlimited data retention and scalability.

2. **High Availability**: Graphite does not natively support high availability, requiring additional configurations and setups to achieve redundancy. Thanos, on the other hand, comes with built-in high availability features, making it easier to ensure data availability and reliability.

3. **Querying Flexibility**: Graphite has limitations in querying historical data due to Whisper's fixed-size database structure. Thanos provides seamless querying across all data stored in object storage, making it easier to access and analyze historical metrics.

4. **Data Deduplication**: Thanos includes a powerful feature known as data deduplication, which allows for efficient storage and retrieval of metrics. This results in reduced storage costs and improved query performance compared to Graphite's standard storage mechanisms.

5. **Horizontal Scalability**: Graphite traditionally struggles with horizontal scalability as it requires manual sharding and clustering for large deployments. Thanos, on the other hand, is designed with horizontal scalability in mind, offering native support for federation and distributed architectures.

6. **Long-Term Storage**: Thanos excels in long-term storage capabilities by leveraging object storage for storing historical data efficiently and cost-effectively, whereas Graphite may face challenges in handling long-term data retention due to Whisper's limitations.

In Summary, Graphite and Thanos differ in their data storage mechanisms, high availability support, querying flexibility, data deduplication capabilities, scalability options, and long-term storage solutions.

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Advice on Graphite, Thanos

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

Graphite
Graphite
Thanos
Thanos

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

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.

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
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
6.0K
GitHub Stars
-
GitHub Forks
1.3K
GitHub Forks
-
Stacks
383
Stacks
100
Followers
419
Followers
126
Votes
42
Votes
0
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
No community feedback yet
Integrations
Sensu
Sensu
Nagios
Nagios
Logstash
Logstash
Windows Server
Windows Server
Netdata
Netdata
Riemann
Riemann
Diamond
Diamond
Telegraf
Telegraf
collectd
collectd
Ganglia
Ganglia
Prometheus
Prometheus

What are some alternatives to Graphite, 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.

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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