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The software is compatible with various systems by IBM Power Systems, [13] IBM i, [14] VMware, Nutanix, Oracle VM, Oracle Solaris, oVirt / Red Hat Virtualization, [15] XenServer, Microsoft Hyper-V, Linux, Oracle Database, PostgreSQL Database, Microsoft SQL Server, Amazon Web Services, Microsoft Azure, Google Cloud, Apache CloudStack, Kubernetes ...
MariaDB is intended to maintain high compatibility with MySQL, with exact matching with MySQL APIs and commands, allowing it in many cases to function as a drop-in replacement for MySQL. However, new features are diverging. [7]
Docker is a set of platform as a service (PaaS) products that use OS-level virtualization to deliver software in packages called containers. [5] The service has both free and premium tiers. The software that hosts the containers is called Docker Engine. [6] It was first released in 2013 and is developed by Docker, Inc. [7]
MySQL (/ ˌ m aɪ ˌ ɛ s ˌ k juː ˈ ɛ l /) [6] is an open-source relational database management system (RDBMS). [6] [7] Its name is a combination of "My", the name of co-founder Michael Widenius's daughter My, [1] and "SQL", the acronym for Structured Query Language.
TiDB (/’taɪdiːbi:/, "Ti" stands for Titanium) is an open-source NewSQL database that supports Hybrid Transactional and Analytical Processing workloads. [3] Designed to be MySQL compatible, it is developed and supported primarily by PingCAP and licensed under Apache 2.0.
Connectivity options: Direct client/server using MySQL API (SSL supported), HTTP/HTTPS tunneling, SSH tunneling; Wizard-driven tool for import of data from ODBC-databases; Backup Tool for performing unattended backups. Backups may be compressed and optionally stored as a file-per-table as well as identified with a timestamp.
MySQL, PostgreSQL, SQLite: 2012 [1] 0.8 [2] 2013-08-23; 12 years ago Apache Allura: ... Docker Image Helm chart Apache Bloodhound: Unknown Unknown Assembla Tickets
Without this named pipe one would need to write out the entire uncompressed version of file.gz before loading it into MySQL. Writing the temporary file is both time-consuming and results in more I/O and less free space on the hard drive. PostgreSQL's command line utility, psql, also supports loading data from named pipes. [4]