Apache Ambari

Definition of Apache Ambari

Apache Ambari is an open-source, web-based platform for managing, monitoring, and administering Apache Hadoop clusters. Developed by the Apache Software Foundation, Ambari simplifies the process of installation, configuration, and overall management of Hadoop ecosystems. It offers an intuitive user interface, RESTful APIs, and a robust set of tools to facilitate cluster configuration, system metrics, and application lifecycle management.


The phonetic pronunciation of “Apache Ambari” is:ə-PATCH-ee æm-BAH-ree

Key Takeaways

  1. Apache Ambari simplifies the management and monitoring of Hadoop clusters by providing a user-friendly web-based interface and a rich set of RESTful APIs.
  2. Ambari supports cluster deployment, configuration, and integration with other tools such as Hadoop, HBase, Hive, Pig, and more. It also offers customizable dashboards for better visibility and control over cluster health and performance.
  3. Apache Ambari is an open-source, extensible platform that is easily customizable to meet specific needs, making it a versatile tool for Hadoop cluster management in various environments and industries.

Importance of Apache Ambari

Apache Ambari is an important technology term because it is a powerful open-source tool designed specifically for managing, provisioning, and monitoring of Hadoop clusters.

It offers a user-friendly web-based interface that simplifies cluster administration and automates orchestration of various Hadoop services.

Furthermore, it provides essential features such as robust provisioning, centralized configuration management, comprehensive monitoring with alerts, and rapid troubleshooting, significantly reducing the complexity of managing large-scale Hadoop ecosystems.

By allowing administrators to allocate resources efficiently, track performance, and maintain stability, Apache Ambari enhances the overall performance and reliability of Hadoop clusters, contributing to the success of Big Data solutions in organizations.


Apache Ambari serves as an essential tool for managing and monitoring Hadoop clusters, offering businesses a simplified approach to harness the power of big data. The primary purpose of Apache Ambari is to provide an intuitive and user-friendly interface to automate the provisioning, management, and monitoring of Hadoop clusters. With its robust and extensible architecture, Ambari enables system administrators to maintain and operate large-scale Hadoop ecosystems with relative ease.

Moreover, Ambari facilitates the integration of various Hadoop ecosystem components, such as HBase, Hive, Pig, MapReduce, and YARN, which streamlines the overall management process and optimizes cluster performance. By leveraging Apache Ambari’s capabilities, organizations can benefit from improved operational efficiency and reduced time investments in managing complex Hadoop clusters. Among its many features, Ambari offers a centralized dashboard that provides real-time insights into the health and status of the cluster together with critical metrics on system utilization, resource consumption, and data processing tasks.

In addition, Ambari simplifies cluster configuration by offering version-controlled, customizable templates for various components. This allows administrators to deploy and fine-tune services with minimal effort and allows for smoother updates and seamless scaling of clusters. Consequently, Apache Ambari plays a vital role in empowering Hadoop users to focus more on extracting valuable insights from their data while reducing the complexities and manual tasks involved in managing extensive Hadoop ecosystems.

Examples of Apache Ambari

Apache Ambari is an open-source technology that helps manage, monitor, and provision Hadoop clusters. It simplifies cluster deployment and operations while providing a user-friendly interface to view and manage Hadoop components. Here are three real-world examples of how Apache Ambari is used:

Financial Sector:A prominent American bank utilizes Apache Ambari to manage and monitor their Hadoop cluster. This bank relies on the insights derived from data analysis for fraud detection, risk management, and crafting personalized customer experiences. Ambari, with its simple web interface and RESTful API, allows the bank’s data management team to easily configure, deploy, and maintain its Hadoop cluster. As a result, the bank ensures efficient data processing and analysis with minimal downtime.

Healthcare Sector:A healthcare analytics provider uses Apache Ambari to manage its Hadoop cluster, responsible for processing massive amounts of patients’ electronic health records (EHR). Ambari allows the company to scale their Hadoop cluster with ease, ensuring continuous, secure, and compliant data analysis while adhering to strict healthcare privacy regulations. By employing Ambari, the company can manage all its Hadoop services, monitor resource utilization, and perform health checks, enhancing the overall efficiency and performance of its data analytics platform.

Telecommunications Sector:A leading telecom company adopted Apache Ambari to streamline and enhance the management of its massive Hadoop cluster. The company processes substantial volumes of call detail records (CDRs) and machine-generated data in real-time to provide insights into customer usage patterns, predict maintenance requirements, and detect potential fraudulent activities. With Ambari, the telecom company can monitor its Hadoop cluster’s performance, create and modify configurations, identify and fix performance issues, and control key services, thereby improving resource allocation and ensuring optimal throughput for data processing and analysis.

Apache Ambari FAQ

What is Apache Ambari?

Apache Ambari is an open-source management platform that enables system administrators to efficiently manage, monitor, and provision Hadoop clusters. Ambari provides a user-friendly interface and automated tools for cluster operations, making it easier to deploy, configure, and manage complex Hadoop ecosystems.

What are some key features of Apache Ambari?

Some key features of Apache Ambari include an intuitive web-based user interface, support for Hadoop ecosystem components, easy installation and configuration of Hadoop services, cluster monitoring and management, role-based access control, as well as management of configuration changes and versioning.

How does Apache Ambari help with cluster management?

Apache Ambari simplifies cluster management by automating the provisioning, managing, and monitoring of Hadoop clusters. It offers a centralized and easy-to-use platform that allows administrators to deploy, configure, and monitor Hadoop components, including the entire Hadoop ecosystem, thereby reducing the complexity and time-consuming tasks involved in managing large-scale Hadoop deployments.

Is Apache Ambari compatible with a specific Hadoop distribution?

Apache Ambari is designed to be compatible with a wide range of Hadoop distributions, such as Apache, Hortonworks, and Cloudera. Ambari’s extensible framework allows it to be used with any Hadoop distribution and can be extended to support other data center technologies as well.

How is Apache Ambari licensed?

Apache Ambari is an open-source project, and its source code is available under the Apache License, Version 2.0. This license permits free use, modification, distribution, and commercial use of the software, as long as the requirements specified in the license are met.

Related Technology Terms

  • Cluster Management
  • Hadoop
  • Ambari Web User Interface
  • Ambari Metrics System (AMS)
  • Ambari Blueprints

Sources for More Information


About The Authors

The DevX Technology Glossary is reviewed by technology experts and writers from our community. Terms and definitions continue to go under updates to stay relevant and up-to-date. These experts help us maintain the almost 10,000+ technology terms on DevX. Our reviewers have a strong technical background in software development, engineering, and startup businesses. They are experts with real-world experience working in the tech industry and academia.

See our full expert review panel.

These experts include:


About Our Editorial Process

At DevX, we’re dedicated to tech entrepreneurship. Our team closely follows industry shifts, new products, AI breakthroughs, technology trends, and funding announcements. Articles undergo thorough editing to ensure accuracy and clarity, reflecting DevX’s style and supporting entrepreneurs in the tech sphere.

See our full editorial policy.

More Technology Terms

Technology Glossary

Table of Contents