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Apache HBase began as a project by the company Powerset out of a need to process massive amounts of data for the purposes of natural-language search. Since 2010 it is a top-level Apache project. Facebook elected to implement its new messaging platform using HBase in November 2010, but migrated away from HBase in 2018. [4]
Voldemort does not try to satisfy arbitrary relations and the ACID properties, but rather is a big, distributed, persistent hash table. [2] A 2012 study comparing systems for storing application performance management data reported that Voldemort, Apache Cassandra, and HBase all offered linear scalability in most cases, with Voldemort having the lowest latency and Cassandra having the highest ...
HBase: Apache HBase software is the Hadoop database. Think of it as a distributed, scalable, big data store; Helix: a cluster management framework for partitioned and replicated distributed resources; Hive: the Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.
Apache Hadoop (/ h ə ˈ d uː p /) is a collection of open-source software utilities for reliable, scalable, distributed computing.It provides a software framework for distributed storage and processing of big data using the MapReduce programming model.
Apache HBase and Cassandra are some of the best known open source projects that were modeled after Bigtable. On May 6, 2015, a public version of Bigtable was made available as a part of Google Cloud under the name Cloud Bigtable. [2] As of April 2024, Bigtable manages over 10 Exabytes of data and serves more than 7 billion requests per second. [10]
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.
Apache Phoenix is an open source, massively parallel, relational database engine supporting OLTP for Hadoop using Apache HBase as its backing store. Phoenix provides a JDBC driver that hides the intricacies of the NoSQL store enabling users to create, delete, and alter SQL tables, views, indexes, and sequences; insert and delete rows singly and in bulk; and query data through SQL. [1]
YCSB was contrasted with the TPC-H benchmark from the Transaction Processing Performance Council, with YCSB being called a big data benchmark while TPC-H is a decision support system benchmark. [2] YCSB was used by DBMS vendors for "benchmark marketing". [3] It has been used in scholarly or tutorial discussions, particularly for Apache HBase.