DBMS > Alibaba Cloud MaxCompute vs. Drizzle vs. MySQL vs. PostgreSQL vs. ToroDB
System Properties Comparison Alibaba Cloud MaxCompute vs. Drizzle vs. MySQL vs. PostgreSQL vs. ToroDB
|Editorial information provided by DB-Engines|
|Name||Alibaba Cloud MaxCompute Xexclude from comparison||Drizzle Xexclude from comparison||MySQL Xexclude from comparison||PostgreSQL Xexclude from comparison||ToroDB Xexclude from comparison|
|Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.|
|Description||MaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousing||MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.||Widely used open source RDBMS||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||A MongoDB-compatible JSON document store, built on top of PostgreSQL|
|Primary database model||Relational DBMS a graph-processing framework is available with the graphs being stored in tables||Relational DBMS||Relational DBMS Key/Value like access via memcached API||Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.||Document store|
|Secondary database models||Document store||Document store|
|Developer||Alibaba||Drizzle project, originally started by Brian Aker||Oracle since 2010, originally MySQL AB, then Sun||PostgreSQL Global Development Group www.postgresql.org/developer||8Kdata|
|Initial release||2016||2008||1995||1989 1989: Postgres, 1996: PostgreSQL||2016|
|Current release||7.2.4, September 2012||8.0.21, 2020||12.4, August 2020|
|License Commercial or Open Source||commercial||Open Source GNU GPL||Open Source GPL version 2. Commercial licenses with extended functionallity are available||Open Source BSD||Open Source AGPL-V3|
|Cloud-based only Only available as a cloud service||yes||no||no||no||no|
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|Implementation language||C++||C and C++||C||Java|
|Server operating systems||hosted||FreeBSD|
|All OS with a Java 7 VM|
|Typing predefined data types such as float or date||yes||yes||yes||yes||yes string, integer, double, boolean, date, object_id|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||yes||yes specific XML-type available, but no XML query functionality.||no|
|SQL Support of SQL||SQL-like query language||yes with proprietary extensions||yes with proprietary extensions||yes standard with numerous extensions|
|APIs and other access methods||Fluentd|
Proprietary native API
native C library
streaming API for large objects
|Supported programming languages||Java||C|
|Server-side scripts Stored procedures||user defined functions in Java||no||yes proprietary syntax||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.|
|Triggers||no||no hooks for callbacks inside the server can be used.||yes||yes||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding Implicit feature of the cloud service||Sharding||horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric||partitioning by range, list and (since PostgreSQL 11) by hash||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||yes Implicit feature of the cloud service||Multi-source replication|
|Source-replica replication other methods possible by using 3rd party extensions||Source-replica replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency||Immediate Consistency||Eventual Consistency|
|Foreign keys Referential integrity||no||yes||yes not for MyISAM storage engine||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||ACID||ACID not for MyISAM storage engine||ACID||no|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes table locks or row locks depending on storage engine||yes||yes|
|Durability Support for making data persistent||yes||yes||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes||no|
|User concepts Access control||Access rights for users and roles||Pluggable authentication mechanisms e.g. LDAP, HTTP||Users with fine-grained authorization concept no user groups or roles||fine grained access rights according to SQL-standard||Access rights for users and roles|
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|3rd parties||General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.|
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Azure Database for MySQL provides fully managed, enterprise-ready community MySQL database as a service
|CYBERTEC: your professional partner for PostgreSQL services and Data Science based on PostgreSQL since 2000. With offices in Austria, Uruguay, Estonia and Switzerland, CYBERTEC operates worldwide!|
Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
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Azure Database for PostgreSQL provides fully managed, enterprise-ready community PostgreSQL database as a service
2ndQuadrant: Mission Critical Databases.
pgDash: In-Depth PostgreSQL Monitoring.
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|Alibaba Cloud MaxCompute||Drizzle||MySQL||PostgreSQL||ToroDB|
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