Thanos vs Zabbix

Overview

Zabbix

Stacks684

Followers981

Votes66

GitHub Stars5.3K

Forks1.1K

Thanos

Stacks100

Followers126

Votes0

Thanos vs Zabbix: What are the differences?

Introduction:

Thanos and Zabbix are both powerful monitoring tools used in the IT industry for various purposes. Below are some key differences between these two tools.

1. Data Storage: One major difference between Thanos and Zabbix is their approach to data storage. Thanos utilizes a distributed architecture where data is horizontally scalable, allowing for potentially limitless storage. On the other hand, Zabbix employs a centralized model for data storage, which may limit scalability in large environments.

2. Alerting Mechanism: In terms of alerting mechanism, Thanos lacks built-in alerting capabilities and relies on external tools like Prometheus Alertmanager for this functionality. In contrast, Zabbix comes with a robust built-in alerting system that allows for the configuration of a wide range of alert conditions and actions.

3. Scalability: Scalability is another key difference between Thanos and Zabbix. Thanos is designed to be highly scalable, making it suitable for large, distributed environments with massive amounts of data. Zabbix, while scalable to a certain extent, may face challenges in handling very large infrastructures.

4. Support for Dynamic Environments: Thanos excels in supporting dynamic environments where new instances are added or removed frequently. Its distributed nature makes it resilient to changes in the environment. Zabbix, while capable of monitoring dynamic environments, may require additional configuration to adapt to frequent changes.

5. Data Retention and Compression: When it comes to data retention and compression, Thanos offers powerful features like data deduplication and compression that help in reducing storage costs. Zabbix, while having some data retention policies, may not be as efficient in terms of data compression and optimization.

6. Ecosystem Integration: Thanos is closely integrated with the Prometheus ecosystem, making it an ideal choice for users already utilizing Prometheus for monitoring. On the other hand, Zabbix has a vast ecosystem on its own and offers integrations with various third-party tools and technologies.

In Summary, Thanos and Zabbix differ in terms of data storage, alerting mechanisms, scalability, support for dynamic environments, data retention, and ecosystem integration.

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Advice on Zabbix, Thanos

vivek

Jun 8, 2020

Needs adviceon

Centreon

Zabbix

Datadog

My team is divided on using Centreon or Zabbix for enterprise monitoring and alert automation. Can someone let us know which one is better? There is one more tool called Datadog that we are using for cloud assets. Of course, Datadog presents us with huge bills. So we want to have a comparative study. Suggestions and advice are welcome. Thanks!

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Detailed Comparison

Zabbix	Thanos
Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of 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.
Smart, Highly Automated Metric Collection; Advanced Problem Detection; Intelligent Alerting and Remediation	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 5.3K	GitHub Stars -
GitHub Forks 1.1K	GitHub Forks -
Stacks 684	Stacks 100
Followers 981	Followers 126
Votes 66	Votes 0
Pros & Cons
Pros 21 Free 9 Alerts 5 Service/node/network discovery 5 Templates 4 Base metrics from the box Cons 5 The UI is in PHP 2 Puppet module is sluggish	No community feedback yet
Integrations
Slack Jira PagerDuty Grafana Ansible Skype Chef Bugzilla HipChat ServiceNow.com	Prometheus

What are some alternatives to Zabbix, Thanos?

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

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

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).

Jaeger

Jaeger, a Distributed Tracing System

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Thanos vs Zabbix: What are the differences?

Introduction:

Thanos and Zabbix are both powerful monitoring tools used in the IT industry for various purposes. Below are some key differences between these two tools.

In Summary, Thanos and Zabbix differ in terms of data storage, alerting mechanisms, scalability, support for dynamic environments, data retention, and ecosystem integration.