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  5. Ambari vs Zookeeper

Ambari vs Zookeeper

OverviewComparisonAlternatives

Overview

Zookeeper
Zookeeper
Stacks889
Followers1.0K
Votes43
Ambari
Ambari
Stacks44
Followers74
Votes2

Ambari vs Zookeeper: What are the differences?

Key Differences between Ambari and Zookeeper

1. Ambari: Cluster Management vs. ZooKeeper: Distributed Coordination Service

Ambari is a cluster management tool that helps in managing and monitoring Hadoop clusters. It provides a web-based interface to automate the installation, configuration, and management of Hadoop services. On the other hand, ZooKeeper is a distributed coordination service that enables synchronization and coordination across a cluster.

2. Ambari: High-level Abstraction vs. ZooKeeper: Low-level Abstraction

Ambari offers a high-level abstraction for managing and monitoring the Hadoop ecosystem, providing developers and administrators with an easy-to-use interface. In contrast, ZooKeeper offers a low-level abstraction, providing a simple interface for building distributed systems and handling coordination tasks.

3. Ambari: Automates Cluster Operations vs. ZooKeeper: Low-level Coordination Tasks

Ambari automates various cluster operations such as adding or removing nodes, scaling the cluster, and managing configurations. It simplifies the management of the Hadoop cluster by handling complex tasks. On the other hand, ZooKeeper is focused on low-level coordination tasks, such as managing distributed locks, leader election, and configuration management.

4. Ambari: Monitors Health and Performance vs. ZooKeeper: Ensures Consistency and Consensus

Ambari provides health and performance monitoring features, allowing administrators to monitor the status of the Hadoop cluster and identify potential issues. ZooKeeper, on the other hand, ensures consistency and consensus in a distributed system, providing a reliable and fault-tolerant way to coordinate and synchronize processes.

5. Ambari: Configuration Management vs. ZooKeeper: Distributed Configuration Service

Ambari offers a comprehensive configuration management system that allows users to define, maintain, and manage complex configurations across the cluster. It simplifies the process of managing configurations for various Hadoop services. In contrast, ZooKeeper provides a distributed configuration service that enables applications to store and retrieve configuration data in a distributed and fault-tolerant manner.

6. Ambari: Provides REST API vs. ZooKeeper: Exposes Watch Mechanism

Ambari provides a REST API that allows users to programmatically interact with the cluster and perform various operations. It enables automation and integration with external tools and applications. ZooKeeper, on the other hand, exposes a watch mechanism which allows applications to register a watch on a znode and receive notifications when the znode is modified, providing a way to build real-time distributed systems.

In Summary, Ambari is a cluster management tool that automates and simplifies the management of Hadoop clusters, while ZooKeeper is a distributed coordination service that handles low-level coordination tasks and ensures consistency in distributed systems.

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Detailed Comparison

Zookeeper
Zookeeper
Ambari
Ambari

A centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services. All of these kinds of services are used in some form or another by distributed applications.

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.

-
Alerts; Ambari Python Libraries; Automated Kerberizaton; Blueprints; Configurations; Service Dashboards; Metrics
Statistics
Stacks
889
Stacks
44
Followers
1.0K
Followers
74
Votes
43
Votes
2
Pros & Cons
Pros
  • 11
    High performance ,easy to generate node specific config
  • 8
    Java
  • 8
    Kafka support
  • 5
    Spring Boot Support
  • 3
    Supports extensive distributed IPC
Pros
  • 2
    Ease of use
Integrations
No integrations available
Hadoop
Hadoop
Ubuntu
Ubuntu
Debian
Debian

What are some alternatives to Zookeeper, 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.

Consul

Consul

Consul is a tool for service discovery and configuration. Consul is distributed, highly available, and extremely scalable.

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

Eureka

Eureka

Eureka is a REST (Representational State Transfer) based service that is primarily used in the AWS cloud for locating services for the purpose of load balancing and failover of middle-tier servers.

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

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