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DBMS > Alibaba Cloud MaxCompute vs. EsgynDB vs. Hive vs. Microsoft Access vs. SiteWhere

System Properties Comparison Alibaba Cloud MaxCompute vs. EsgynDB vs. Hive vs. Microsoft Access vs. SiteWhere

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonEsgynDB  Xexclude from comparisonHive  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingEnterprise-class SQL-on-Hadoop solution, powered by Apache Trafodiondata 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.)M2M integration platform for persisting/querying time series data
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
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitewww.alibabacloud.com/­product/­maxcomputewww.esgyn.cnhive.apache.orgwww.microsoft.com/­en-us/­microsoft-365/­accessgithub.com/­sitewhere/­sitewhere
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputecwiki.apache.org/­confluence/­display/­Hive/­Homedeveloper.microsoft.com/­en-us/­accesssitewhere1.sitewhere.io/­index.html
DeveloperAlibabaEsgynApache Software Foundation infoinitially developed by FacebookMicrosoftSiteWhere
Initial release20162015201219922010
Current release3.1.3, April 20221902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2commercial infoBundled with Microsoft OfficeOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaJavaC++Java
Server operating systemshostedLinuxAll OS with a Java VMWindows infoNot a real database server, but making use of DLLsLinux
OS X
Windows
Data schemeyesyesyesyespredefined scheme
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 languageyesSQL-like DML and DDL statementsyes infobut not compliant to any SQL standardno
APIs and other access methodsFluentd
Flume
MaxCompute Console
ADO.NET
JDBC
ODBC
JDBC
ODBC
Thrift
ADO.NET
DAO
ODBC
OLE DB
HTTP REST
Supported programming languagesJavaAll languages supporting JDBC/ODBC/ADO.NetC++
Java
PHP
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functions infoin JavaJava Stored Proceduresyes infouser defined functions and integration of map-reduceyes infosince Access 2010 using the ACE-engine
Triggersnononoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication between multi datacentersselectable replication factornoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID 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.nonono
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardAccess rights for users, groups and rolesno infoa simple user-level security was built in till version Access 2003Users with fine-grained authorization concept

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More resources
Alibaba Cloud MaxComputeEsgynDBHiveMicrosoft AccessSiteWhere
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