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| <h1>Related projects</h1> |
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| <p>Other Hadoop-related projects at Apache include:</p> |
| <ul> |
| <li><a href="https://ambari.apache.org"><strong>Ambari™</strong></a>: A web-based tool for provisioning, |
| managing, and monitoring Apache Hadoop clusters which includes |
| support for Hadoop HDFS, Hadoop MapReduce, Hive, HCatalog, HBase, |
| ZooKeeper, Oozie, Pig and Sqoop. Ambari also provides a dashboard |
| for viewing cluster health such as heatmaps and ability to view |
| MapReduce, Pig and Hive applications visually alongwith features to |
| diagnose their performance characteristics in a user-friendly |
| manner.</li> |
| <li><a href="https://avro.apache.org"><strong>Avro™</strong></a>: A data serialization system.</li> |
| <li><a href="https://cassandra.apache.org/"><strong>Cassandra™</strong></a>: A scalable multi-master database |
| with no single points of failure.</li> |
| <li><a href="https://chukwa.apache.org/"><strong>Chukwa™</strong></a>: A data collection system for managing |
| large distributed systems.</li> |
| <li><a href="https://hbase.apache.org/"><strong>HBase™</strong></a>: A scalable, distributed database that |
| supports structured data storage for large tables.</li> |
| <li><a href="https://hive.apache.org/"><strong>Hive™</strong></a>: A data warehouse infrastructure that provides |
| data summarization and ad hoc querying.</li> |
| <li><a href="https://mahout.apache.org/"><strong>Mahout™</strong></a>: A Scalable machine learning and data |
| mining library.</li> |
| <li><a href="https://ozone.apache.org/"><strong>Ozone™</strong></a>: A scalable, redundant, and |
| distributed object store for Hadoop.</li> |
| <li><a href="https://pig.apache.org"><strong>Pig™</strong></a>: A high-level data-flow language and execution |
| framework for parallel computation.</li> |
| <li><a href="https://spark.apache.org"><strong>Spark™</strong></a>: A fast and general compute engine for |
| Hadoop data. Spark provides a simple and expressive programming |
| model that supports a wide range of applications, including ETL, |
| machine learning, stream processing, and graph computation.</li> |
| <li><a href="https://submarine.apache.org"><strong>Submarine</strong></a>: A unified AI platform which allows |
| engineers and data scientists to run Machine Learning and Deep Learning workload in |
| distributed cluster.</li> |
| <li><a href="https://tez.apache.org"><strong>Tez™</strong></a>: A generalized data-flow programming framework, |
| built on Hadoop YARN, which provides a powerful and flexible engine |
| to execute an arbitrary DAG of tasks to process data for both batch |
| and interactive use-cases. Tez is being adopted by Hive™, Pig™ and |
| other frameworks in the Hadoop ecosystem, and also by other |
| commercial software (e.g. ETL tools), to replace Hadoop™ MapReduce |
| as the underlying execution engine.</li> |
| <li><a href="https://zookeeper.apache.org"><strong>ZooKeeper™</strong></a>: A high-performance coordination |
| service for distributed applications.</li> |
| </ul> |
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