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The core of Apache Hadoop consists of a storage part, known as Hadoop Distributed File System (HDFS), and a processing part which is a MapReduce programming model. Hadoop splits files into large blocks and distributes them across nodes in a cluster. It then transfers packaged code into nodes to process the data in parallel.
It using the hadoop file system as distributed storage. Tiles: templating framework built to simplify the development of web application user interfaces. Trafodion: Webscale SQL-on-Hadoop solution enabling transactional or operational workloads on Apache Hadoop [11] [12] [13] Tuscany: SCA implementation, also providing other SOA implementations
Apache Hive is a data warehouse software project. It is built on top of Apache Hadoop for providing data query and analysis. [3] [4] Hive gives an SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop.
Apache Impala is an open source massively parallel processing (MPP) SQL query engine for data stored in a computer cluster running Apache Hadoop. [1] Impala has been described as the open-source equivalent of Google F1 , which inspired its development in 2012.
Avro is a row-oriented remote procedure call and data serialization framework developed within Apache's Hadoop project. It uses JSON for defining data types and protocols, and serializes data in a compact binary format.
Apache Hama is a distributed computing framework based on bulk synchronous parallel computing techniques for massive scientific computations e.g., matrix, graph and network algorithms. [1] Originally a sub-project of Hadoop , [ 2 ] it became an Apache Software Foundation top level project in 2012.
Exports can be used to put data from Hadoop into a relational database. Sqoop got the name from "SQL-to-Hadoop". [4] Sqoop became a top-level Apache project in March 2012. [5] Informatica provides a Sqoop-based connector from version 10.1.
Apache Accumulo is a highly scalable sorted, distributed key-value store based on Google's Bigtable. [2] It is a system built on top of Apache Hadoop , Apache ZooKeeper , and Apache Thrift . Written in Java , Accumulo has cell-level access labels and server-side programming mechanisms.