Apache Ambari logo

Apache Ambari

by Apache Software Foundation · Since 2011
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ActiveAvailable globallyCloud
Quick facts
VendorApache Software Foundation
Year launched2011
StatusActive
LocationWilmington, Delaware
Countries servedGlobal
Languages8
Integrations
Free tier
Free trial
Contact salesYES

About Apache Ambari

Apache Ambari is a management software from Apache Software Foundation for provisioning, managing, and monitoring Hadoop clusters. It provides features such as Project Team, User Group, and access to ApacheCon Events so users can effectively coordinate their Hadoop ecosystem. The platform also includes a Privacy Policy to ensure data integrity and security. With an intuitive web-based interface, it allows administrators to easily manage cluster configurations and monitor health metrics. Key capabilities: cluster management configuration management monitoring tools user administration access control Best for: developers and IT administrators that need efficient management of Hadoop clusters.

Apache Ambari, developed by the Apache Software Foundation, is a comprehensive management platform designed for Apache Hadoop clusters. It aims to simplify the deployment, monitoring, and management of large-scale distributed data processing clusters. One of its standout features is its intuitive web-based user interface, which provides a centralized view of the entire cluster's health and performance metrics. This allows users to easily monitor and manage their Hadoop ecosystem from a single dashboard. The user interface of Apache Ambari is well-designed and straightforward, making it easy for both novice and experienced users to navigate. The interface includes interactive visualizations, real-time monitoring capabilities, and intuitive wizards for common tasks like cluster setup and node addition. These design elements enhance the overall user experience and contribute to the software's usability. In terms of core functionalities, Apache Ambari offers a wide range of features that set it apart from its competitors. These include automated cluster provisioning, centralized configuration management, role-based access control, and customizable alerting capabilities.

Pros & Cons

What users like
  • +Open-source and free to use.
  • +Centralized cluster management simplifies Hadoop operations.
  • +Strong community support and extensive documentation.
  • +Supports automation via APIs.
  • +Highly customizable.
What users flag
  • Limited active development during its hiatus period.
  • Focused primarily on Hadoop ecosystems; lacks versatility for other big data platforms.
  • Requires technical expertise for setup and management.
  • Slower integration updates compared to commercial alternatives.
  • Lacks features found in proprietary competitors like Cloudera Manager.

Features

Key features

Simplified Hadoop Management
Ambari offers an intuitive web interface for managing and monitoring Hadoop clusters.
Cluster Provisioning
It automates the installation and configuration of Hadoop services across multiple nodes.
Centralized Management
Provides a single point of control for starting, stopping, and reconfiguring Hadoop services.
Comprehensive Monitoring
Monitors the health and performance of Hadoop clusters, alerting administrators to potential issues.
Extensible Framework
Allows for integration with other tools and applications through its RESTful APIs.

Additional features

Intuitive Web Interface
Easy-to-use graphical interface for managing Hadoop clusters.
Cluster Provisioning
Automated installation and configuration of Hadoop services.
Centralized Management
Control over starting, stopping, and reconfiguring services.
Comprehensive Monitoring
Health and performance monitoring with alerting capabilities.
Ambari Metrics System
Collects and analyzes metrics for better insights.
Ambari Alert Framework
Notifies administrators of critical issues.
RESTful APIs
Extensibility for integration with other tools and applications.
Community Support
Active community and documentation for assistance.
Security
Robust security features to protect Hadoop clusters.
Scalability
Handles large-scale Hadoop deployments.
High Availability
Ensures continuous operation of Hadoop services.
Compatibility
Supports various Hadoop distributions and operating systems.

Pricing

Free trial
Free version
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Countries & Languages

Global
Countries served
8
Interface languages
11
Billing currencies

Interface languages

EnglishChineseFrenchGermanItalianJapaneseRussianSpanish

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇯🇵JPY🇦🇺AUD🇨🇦CAD🇨🇳CNY🇮🇳INR🇷🇺RUB🇧🇷BRL🇲🇽MXN

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