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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Ambari vs collectd

Ambari vs collectd

OverviewComparisonAlternatives

Overview

collectd
collectd
Stacks98
Followers156
Votes5
GitHub Stars3.3K
Forks1.3K
Ambari
Ambari
Stacks44
Followers74
Votes2

Ambari vs collectd: What are the differences?

**1. Scalability:** Ambari is designed for managing large-scale clusters, providing a scalable and centralized solution for cluster management. Collectd, on the other hand, is more focused on collecting system performance metrics on individual servers or systems rather than cluster management. **2. User Interface:** Ambari provides a user-friendly web interface for monitoring and managing Hadoop clusters, making it easier for administrators to navigate and perform tasks. Collectd, however, lacks a comprehensive graphical user interface and is mainly configured through text-based configuration files. **3. Monitoring Capabilities:** Ambari offers a wide range of monitoring capabilities specifically tailored for Hadoop clusters, including metrics, alerts, and a customizable dashboard. Collectd is more generic and versatile, capable of monitoring various types of system performance metrics beyond Hadoop clusters. **4. Integration:** Ambari seamlessly integrates with various Hadoop ecosystem components, ensuring compatibility and smooth operation within the Hadoop ecosystem. Collectd can be integrated with different monitoring and visualization tools, making it a flexible option for system monitoring in a variety of environments. **5. Community Support:** Ambari benefits from a strong community of users and contributors, leading to regular updates, bug fixes, and new feature implementations. Collectd also has a supportive community but may not have as large of a following or frequent updates as Ambari. **6. Management features:** Ambari provides robust cluster management features such as configuration management, service monitoring, and deployment automation to streamline and simplify administrative tasks. Collectd, being more focused on data collection, may lack the same level of built-in management features for overseeing and controlling system resources efficiently.

In Summary, Ambari is tailored for scalable cluster management with a user-friendly interface, extensive monitoring capabilities, and strong integration within the Hadoop ecosystem, while Collectd excels in generic system performance data collection with more flexibility and versatility but may lack the same level of cluster management features.

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CLI (Node.js)
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Detailed Comparison

collectd
collectd
Ambari
Ambari

collectd gathers statistics about the system it is running on and stores this information. Those statistics can then be used to find current performance bottlenecks (i.e. performance analysis) and predict future system load (i.e. capacity planning). Or if you just want pretty graphs of your private server and are fed up with some homegrown solution you're at the right place, too.

This project is aimed at making Hadoop management simpler by developing software for provisioning, managing, and monitoring Apache Hadoop clusters. It provides an intuitive, easy-to-use Hadoop management web UI backed by its RESTful APIs.

fast;simple;integrated;easy to operate
Alerts; Ambari Python Libraries; Automated Kerberizaton; Blueprints; Configurations; Service Dashboards; Metrics
Statistics
GitHub Stars
3.3K
GitHub Stars
-
GitHub Forks
1.3K
GitHub Forks
-
Stacks
98
Stacks
44
Followers
156
Followers
74
Votes
5
Votes
2
Pros & Cons
Pros
  • 2
    Modular, plugins
  • 2
    Open Source
  • 1
    KISS
Pros
  • 2
    Ease of use
Integrations
No integrations available
Hadoop
Hadoop
Ubuntu
Ubuntu
Debian
Debian

What are some alternatives to collectd, Ambari?

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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