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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.
Windows 10: NTFS 3.1 2015 Fedora 22: Combination: ext4 (Fedora Workstation and Cloud), XFS (Fedora Server) [7] 2015 OpenSUSE 42.1: Combination: Btrfs (for system) and ...
High-availability cluster. Apache Mesos, from the Apache Software Foundation; Kubernetes, founded by Google Inc, from the Cloud Native Computing Foundation; Heartbeat, from Linux-HA
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.
Name FOSS Platform Details CrushFTP Server: No, proprietary macOS, Windows, Linux, *BSD, Solaris, etc. FTP, FTPS, SFTP, SCP, HTTP, HTTPS, WebDAV and WebDAV over SSL, AS2, AS3, Plugin API, Windows Active Directory / LDAP authentication, SQL authentication, GUI remote administration, Events / Alerts, X.509 user auth for HTTPS/FTPS/FTPES, MD5 hash calculations on all file transfers, Protocol ...
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
LizardFS is an open source distributed file system that is POSIX-compliant and licensed under GPLv3. [3] [4] It was released in 2013 as fork of MooseFS. [5]LizardFS is also offering a paid technical support (Standard, Enterprise and Enterprise Plus) with possibility of configurating and setting up the cluster and active cluster monitoring.
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 ...