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Alluxio (Virtual Distributed File System) Java Apache License 2.0 HDFS, FUSE, HTTP/REST, S3: hot standby No Replication [1] File [2] 2013 Ceph: C++ LGPL librados (C, C++, Python, Ruby), S3, Swift, FUSE: Yes Yes Pluggable erasure codes [3] Pool [4] 2010 1 per TB of storage Coda: C GPL C Yes Yes Replication Volume [5] 1987 GlusterFS: C GPLv3
Hierarchical Data Format (HDF) is a set of file formats (HDF4, HDF5) designed to store and organize large amounts of data.Originally developed at the U.S. National Center for Supercomputing Applications, it is supported by The HDF Group, a non-profit corporation whose mission is to ensure continued development of HDF5 technologies and the continued accessibility of data stored in HDF.
C, C++, or Java dbm, Sleepycat/Oracle dual GPL-like Sleepycat License Apache Cassandra: Key-value Yes Yes Distributed Partial Only supports CAS (Check And Set) after 2.1.1 and later [5] [6] Yes Java Dynamo and Bigtable, Facebook/Digg/Rackspace Apache 2.0: ClustrixDB: scale-out relational Yes Yes Distributed and Replication Yes No C Clustrix ...
Its file storage capability is compatible with the Apache Hadoop Distributed File System (HDFS) API but with several design characteristics that distinguish it from HDFS. Among the most notable differences are that MapR-FS is a fully read/write filesystem with metadata for files and directories distributed across the namespace, so there is no ...
Third, we can store our dimension tables in mutable storage, e.g. HBase and federate queries across the two types of storage. The way data is distributed across HDFS makes it expensive to join data. In a distributed relational database we can co-locate records with the same primary and foreign keys on the same node in a cluster. This makes it ...
Hadoop Distributed File System is a distributed file system that handles large data sets running on commodity hardware (Ishengoma, 2013). It is used to scale a single Apache Hadoop cluster to hundreds (and even thousands) of nodes. HDFS is one of the major components of Apache Hadoop, the others being MapReduce and YARN.
Data-intensive computing systems utilize a machine-independent approach in which applications are expressed in terms of high-level operations on data, and the runtime system transparently controls the scheduling, execution, load balancing, communications, and movement of programs and data across the distributed computing cluster. [20]
Alluxio is an open-source virtual distributed file system (VDFS). Initially as research project "Tachyon", Alluxio was created at the University of California, Berkeley's AMPLab as Haoyuan Li's Ph.D. Thesis, [2] advised by Professor Scott Shenker & Professor Ion Stoica.