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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. M3 vs Skedler

M3 vs Skedler

OverviewComparisonAlternatives

Overview

M3
M3
Stacks12
Followers61
Votes0
GitHub Stars4.9K
Forks465
Skedler
Skedler
Stacks0
Followers3
Votes0

Skedler vs M3: What are the differences?

Developers describe Skedler as "A powerful, flexible and easy-to-use data monitoring solution". It is an elasticsearch reporting tool --- an absolute alternative to Kibana reporting. It enables you to automate the whole process of designing, scheduling, and delivering reports to your stakeholders/ customers effectively. On the other hand, M3 is detailed as "Open source metrics platform built on M3DB, a distributed time-series database by Uber". A Prometheus and Graphite compatible metrics platform which includes a native distributed time series database, a highly dynamic and performant aggregation service, query engine and other supporting infrastructure.

Skedler and M3 can be primarily classified as "Monitoring" tools.

Some of the features offered by Skedler are:

  • Automated Reporting
  • Elasticsearch report scheduling
  • Automated elasticsearch report delivery through email, Slack, and more

On the other hand, M3 provides the following key features:

  • Prometheus Integration
  • Graphite Integration
  • Scalable Clusters (up to billions of metrics)

M3 is an open source tool with 3.16K GitHub stars and 285 GitHub forks. Here's a link to M3's open source repository on GitHub.

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Detailed Comparison

M3
M3
Skedler
Skedler

A Prometheus and Graphite compatible metrics platform which includes a native distributed time series database, a highly dynamic and performant aggregation service, query engine and other supporting infrastructure.

It is an elasticsearch reporting tool --- an absolute alternative to Kibana reporting. It enables you to automate the whole process of designing, scheduling, and delivering reports to your stakeholders/ customers effectively.

Prometheus Integration; Graphite Integration; Scalable Clusters (up to billions of metrics); Reliably Replicated; Highly Compressed; Highly Performant (hundreds of millions of writes per second); Arbitrary Time Precision; Out of order writes; Fully open source
Automated Reporting; Elasticsearch report scheduling; Automated elasticsearch report delivery through email, Slack, and more
Statistics
GitHub Stars
4.9K
GitHub Stars
-
GitHub Forks
465
GitHub Forks
-
Stacks
12
Stacks
0
Followers
61
Followers
3
Votes
0
Votes
0
Integrations
Grafana
Grafana
Prometheus
Prometheus
Graphite
Graphite
Docker
Docker
Elasticsearch
Elasticsearch
Linux
Linux
Windows
Windows
Debian
Debian

What are some alternatives to M3, Skedler?

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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