BigTop Ambari

BigTop and Apache Ambari are two distinct projects within the Hadoop and big data ecosystem, each serving a different purpose:

1. BigTop:

   • Purpose: BigTop is an open-source project that focuses on the creation of a comprehensive packaging, testing, and deployment framework for big data and cloud applications. It aims to simplify the process of building, packaging, and deploying various big data software components and tools.

   • Packaging: BigTop provides packaging scripts and recipes to build binary packages for a wide range of big data-related software, including Hadoop, Hive, Spark, HBase, and many others. These packages are typically designed to work on various Linux distributions.

   • Testing: BigTop also includes a testing framework to verify the functionality and compatibility of the packaged software components. This helps ensure that the software works as expected across different environments.

   • Deployment: While BigTop focuses on packaging and testing, it doesn’t provide a deployment and management framework for big data clusters. Its primary goal is to produce reliable binary packages that can be used by various deployment and management tools.

2. Apache Ambari:

   • Purpose: Apache Ambari, on the other hand, is an open-source project that provides cluster management and monitoring capabilities specifically for Hadoop and related big data technologies. It’s designed to simplify the deployment, configuration, management, and monitoring of Hadoop clusters.

   • Cluster Management: Ambari offers a web-based interface and RESTful APIs to manage Hadoop clusters, including the provisioning, configuration, and scaling of cluster nodes.

   • Service Management: Administrators can use Ambari to add, remove, start, stop, and restart Hadoop services and components within the cluster.

   • Configuration Management: Ambari provides a central location for configuring and managing the settings of Hadoop services and components, ensuring consistency across the cluster.

   • Monitoring and Alerts: It offers real-time monitoring of cluster health and performance, along with the ability to set up alerts based on various metrics.

   • Security: Ambari includes security-related features for managing authentication, authorization, and data encryption within Hadoop clusters.