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DBMS > Alibaba Cloud MaxCompute vs. Google Cloud Spanner vs. Hive vs. Microsoft Access vs. Yanza

System Properties Comparison Alibaba Cloud MaxCompute vs. Google Cloud Spanner vs. Hive vs. Microsoft Access vs. Yanza

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonHive  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.data warehouse software for querying and managing large distributed datasets, built on HadoopMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Time Series DBMS for IoT Applications
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score2.89
Rank#103  Overall
#52  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputecloud.google.com/­spannerhive.apache.orgwww.microsoft.com/­en-us/­microsoft-365/­accessyanza.com
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputecloud.google.com/­spanner/­docscwiki.apache.org/­confluence/­display/­Hive/­Homedeveloper.microsoft.com/­en-us/­access
DeveloperAlibabaGoogleApache Software Foundation infoinitially developed by FacebookMicrosoftYanza
Initial release20162017201219922015
Current release3.1.3, April 20221902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2commercial infoBundled with Microsoft Officecommercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemshostedhostedAll OS with a Java VMWindows infoNot a real database server, but making use of DLLsWindows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonono
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLSQL-like query languageyes infoQuery statements complying to ANSI 2011SQL-like DML and DDL statementsyes infobut not compliant to any SQL standardno
APIs and other access methodsFluentd
Flume
MaxCompute Console
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
JDBC
ODBC
Thrift
ADO.NET
DAO
ODBC
OLE DB
HTTP API
Supported programming languagesJavaGo
Java
JavaScript (Node.js)
Python
C++
Java
PHP
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functions infoin Javanoyes infouser defined functions and integration of map-reduceyes infosince Access 2010 using the ACE-engineno
Triggersnononoyes infosince Access 2010 using the ACE-engineyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication with 3 replicas for regional instances.selectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflowyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoStrict serializable isolationnoACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and rolesno infoa simple user-level security was built in till version Access 2003no

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More resources
Alibaba Cloud MaxComputeGoogle Cloud SpannerHiveMicrosoft AccessYanza
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