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  2. Apache Hadoop - Wikipedia

    en.wikipedia.org/wiki/Apache_Hadoop

    HDFS: Hadoop's own rack-aware file system. [47] This is designed to scale to tens of petabytes of storage and runs on top of the file systems of the underlying operating systems. Apache Hadoop Ozone: HDFS-compatible object store targeting optimized for billions of small files. FTP file system: This stores all its data on remotely accessible FTP ...

  3. HDFS - Wikipedia

    en.wikipedia.org/?title=HDFS&redirect=no

    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.

  4. Comparison of distributed file systems - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_distributed...

    Some researchers have made a functional and experimental analysis of several distributed file systems including HDFS, Ceph, Gluster, Lustre and old (1.6.x) version of MooseFS, although this document is from 2013 and a lot of information are outdated (e.g. MooseFS had no HA for Metadata Server at that time).

  5. Apache Hive - Wikipedia

    en.wikipedia.org/wiki/Apache_Hive

    Apache Hive supports the analysis of large datasets stored in Hadoop's HDFS and compatible file systems such as Amazon S3 filesystem and Alluxio.It provides a SQL-like query language called HiveQL [9] with schema on read and transparently converts queries to MapReduce, Apache Tez [10] and Spark jobs.

  6. Apache HBase - Wikipedia

    en.wikipedia.org/wiki/Apache_HBase

    HBase is an open-source non-relational distributed database modeled after Google's Bigtable and written in Java.It is developed as part of Apache Software Foundation's Apache Hadoop project and runs on top of HDFS (Hadoop Distributed File System) or Alluxio, providing Bigtable-like capabilities for Hadoop.

  7. Distributed file system for cloud - Wikipedia

    en.wikipedia.org/wiki/Distributed_file_system...

    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 ...

  8. List of file systems - Wikipedia

    en.wikipedia.org/wiki/List_of_file_systems

    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. Lustre is an open-source high-performance distributed parallel file system for Linux, used on many of the largest computers in the world.

  9. GPFS - Wikipedia

    en.wikipedia.org/wiki/GPFS

    Hadoop's HDFS filesystem, is designed to store similar or greater quantities of data on commodity hardware — that is, datacenters without RAID disks and a storage area network (SAN). HDFS also breaks files up into blocks, and stores them on different filesystem nodes. GPFS has full Posix filesystem semantics.