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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 ...
The Hadoop distributed file system (HDFS) is a distributed, scalable, and portable file system written in Java for the Hadoop framework. Some consider it to instead be a data store due to its lack of POSIX compliance, [ 36 ] but it does provide shell commands and Java application programming interface (API) methods that are similar to other ...
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.
Some of the distributed parallel file systems use an object storage device (OSD) (in Lustre called OST) for chunks of data together with centralized metadata servers. BeeGFS is a hardware-independent parallel file system that features distributed metadata and striping of files across multiple targets, such as NVMe devices or logical volumes.
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]
Hypertable runs on top of a distributed file system such as the Apache HDFS, GlusterFS or the CloudStore Kosmos File System (KFS). It is written almost entirely in C++ as the developers believed it had significant performance advantages over Java. [1] Hypertable software was originally developed at the company Zvents before 2008.