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

Azure Monitor vs Thanos

OverviewComparisonAlternatives

Overview

Thanos
Thanos
Stacks100
Followers126
Votes0
Azure Monitor
Azure Monitor
Stacks61
Followers184
Votes0

Azure Monitor vs Thanos: What are the differences?

  1. Data Scalability: One key difference between Azure Monitor and Thanos is that Azure Monitor is a cloud-based monitoring service by Microsoft that offers scalability through its cloud infrastructure, whereas Thanos is an open-source project that provides a highly scalable and efficient global-scale monitoring system for Prometheus metrics. Azure Monitor is limited to the scalability provided by the Azure cloud, while Thanos can handle massive amounts of data beyond what a single Prometheus server can manage.

  2. Storage Backend: Another difference is that Azure Monitor stores its data in Azure storage services like Azure Log Analytics and Azure Application Insights, providing a fully managed solution for storing and analyzing monitoring data. In contrast, Thanos uses object storage services like Amazon S3 or Google Cloud Storage as its backend storage, giving users more flexibility in choosing where their data is stored and enabling better cost optimization based on storage options available from different providers.

  3. Multi-Tenancy Support: Azure Monitor supports multi-tenancy, allowing organizations to segregate their monitoring data and access controls based on different user groups or departments within the same Azure environment. Thanos, on the other hand, focuses on horizontal scalability and federation to provide a global view of Prometheus metrics across multiple clusters and regions, making it suitable for organizations with distributed infrastructure and the need for a unified monitoring solution.

  4. Querying Capabilities: Azure Monitor offers a powerful query language, Kusto Query Language (KQL), for analyzing monitoring data and generating insights through its rich set of functions, operators, and visualization options. Thanos, leveraging the query language of Prometheus, provides similar capabilities for querying, aggregating, and visualizing metrics, making it a preferred choice for users familiar with Prometheus metrics and queries.

  5. Cost Model: Azure Monitor follows a pay-per-usage pricing model, where customers are charged based on the volume of data ingested, stored, and analyzed in the Azure environment, providing predictable cost management for monitoring resources. Thanos, being an open-source project, offers a cost-effective solution for storing and querying massive amounts of Prometheus data without any additional licensing fees, making it ideal for organizations looking to optimize their monitoring costs while maintaining scalability and performance.

  6. Integration Ecosystem: Azure Monitor integrates seamlessly with other Azure services and third-party tools through its extensible APIs and connectors, enabling users to incorporate monitoring data into their existing workflows and analytics platforms. Thanos, being compatible with Prometheus ecosystem tools and libraries, provides a rich set of integrations for data visualization, alerting, and automation, making it a preferred choice for users already using Prometheus for monitoring their infrastructure.

In Summary, Azure Monitor and Thanos differ in terms of data scalability, storage backend, multi-tenancy support, querying capabilities, cost model, and integration ecosystem, catering to different use cases and preferences in the monitoring and observability space.

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Detailed Comparison

Thanos
Thanos
Azure Monitor
Azure Monitor

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.

It provides sophisticated tools for collecting and analyzing telemetry that allow you to maximize the performance and availability of your cloud and on-premises resources and applications.

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
Store and analyze all your operational telemetry in a centralized, fully managed, scalable data store that’s optimized for performance and cost; Test your hypotheses and reveal hidden patterns using the advanced analytic engine, interactive query language, and built-in machine learning constructs; Integrate with popular DevOps, issue management, IT service management, and security information and event management tools
Statistics
Stacks
100
Stacks
61
Followers
126
Followers
184
Votes
0
Votes
0
Integrations
Prometheus
Prometheus
Jira
Jira
Azure DevOps
Azure DevOps
PagerDuty
PagerDuty
BindPlane
BindPlane

What are some alternatives to Thanos, Azure Monitor?

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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