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DBMS > Alibaba Cloud MaxCompute vs. Microsoft Azure Cosmos DB vs. MySQL vs. PostgreSQL vs. ScyllaDB

System Properties Comparison Alibaba Cloud MaxCompute vs. Microsoft Azure Cosmos DB vs. MySQL vs. PostgreSQL vs. ScyllaDB

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonMySQL  Xexclude from comparisonPostgreSQL  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingGlobally distributed, horizontally scalable, multi-model database serviceWidely used open source RDBMSWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLCassandra-compatible wide column store
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS infoKey/Value like access via memcached APIRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Wide column store
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.47
Rank#212  Overall
#101  Relational DBMS
Score31.95
Rank#24  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score1267.65
Rank#2  Overall
#2  Relational DBMS
Score506.94
Rank#4  Overall
#4  Relational DBMS
Score2.25
Rank#109  Overall
#8  Wide column stores
Websitewww.alibabacloud.com/­product/­maxcomputeazure.microsoft.com/­services/­cosmos-dbwww.mysql.comwww.postgresql.orgwww.scylladb.com
Technical documentationwww.alibabacloud.com/­help/­product/­27797.htmdocs.microsoft.com/­en-us/­azure/­cosmos-dbdev.mysql.com/­docwww.postgresql.org/­docs/­manualsdocs.scylladb.com
DeveloperAlibabaMicrosoftOracle infosince 2010, originally MySQL AB, then SunPostgreSQL Global Development Group infowww.postgresql.org/­developerScyllaDB
Initial release2016201419951989 info1989: Postgres, 1996: PostgreSQL2015
Current release8.0.18, October 201912.2, February 2020Scylla Open Source 3.2.0, January 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoBSDOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Azure Database for MySQL: A fully managed, scalable MySQL relational database with high availability and security built in at no extra cost
  • ScaleGrid: Fully managed PostgreSQL hosting with high availability, dedicated servers, and superuser control on the #1 multi-cloud Amazon RDS alternative.
  • Azure Database for PostgreSQL: A fully managed, scalable PostgreSQL relational database with high availability and security built in at no extra cost
Implementation languageC and C++CC++
Server operating systemshostedhostedFreeBSD
Linux
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
Data schemeyesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON typesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyesyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesnoyes infoAll properties auto-indexed by defaultyesyesyes infocluster global secondary indices
SQL infoSupport of SQLSQL-like query languageSQL-like query languageyes infowith proprietary extensionsyes infostandard with numerous extensionsSQL-like DML and DDL statements (CQL)
APIs and other access methodsFluentd
Flume
MaxCompute Console
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
ADO.NET
JDBC
ODBC
Proprietary native API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocol infoCQL (Cassandra Query Language, an SQL-like language)
Thrift
Supported programming languagesJava.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions infoin JavaJavaScriptyes infoproprietary syntaxuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
TriggersnoJavaScriptyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud servicehorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricpartitioning by range, list and (since PostgreSQL 11) by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes infoImplicit feature of the cloud serviceMaster-master replication
Master-slave replication
Master-slave replication infoother methods possible by using 3rd party extensionsselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsyeswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engineyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-item ACID transactions with snapshot isolation within a partitionACID infonot for MyISAM storage engineACIDno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes infoin-memory tables
User concepts infoAccess controlAccess rights for users and rolesAccess rights can be defined down to the item levelUsers with fine-grained authorization concept infono user groups or rolesfine grained access rights according to SQL-standardAccess rights for users can be defined per object

More information provided by the system vendor

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