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DBMS > Alibaba Cloud MaxCompute vs. H2 vs. Hive vs. KairosDB vs. Microsoft Access

System Properties Comparison Alibaba Cloud MaxCompute vs. H2 vs. Hive vs. KairosDB vs. Microsoft Access

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonH2  Xexclude from comparisonHive  Xexclude from comparisonKairosDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.data warehouse software for querying and managing large distributed datasets, built on HadoopDistributed Time Series DBMS based on Cassandra or H2Microsoft 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.)
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#221  Overall
#102  Relational DBMS
Score8.22
Rank#50  Overall
#32  Relational DBMS
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score0.71
Rank#230  Overall
#20  Time Series DBMS
Score105.40
Rank#11  Overall
#8  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputewww.h2database.comhive.apache.orggithub.com/­kairosdb/­kairosdbwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputewww.h2database.com/­html/­main.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homekairosdb.github.iodeveloper.microsoft.com/­en-us/­access
DeveloperAlibabaThomas MuellerApache Software Foundation infoinitially developed by FacebookMicrosoft
Initial release20162005201220131992
Current release2.2.220, July 20233.1.3, April 20221.2.2, November 20181902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2Open Source infoApache 2.0commercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC++
Server operating systemshostedAll OS with a Java VMAll OS with a Java VMLinux
OS X
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeyesyesyesschema-freeyes
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 indexesnoyesyesnoyes
SQL infoSupport of SQLSQL-like query languageyesSQL-like DML and DDL statementsnoyes infobut not compliant to any SQL standard
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBC
ODBC
JDBC
ODBC
Thrift
Graphite protocol
HTTP REST
Telnet API
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesJavaJavaC++
Java
PHP
Python
Java
JavaScript infoNode.js
PHP
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functions infoin JavaJava Stored Procedures and User-Defined Functionsyes infouser defined functions and integration of map-reducenoyes infosince Access 2010 using the ACE-engine
Triggersnoyesnonoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneShardingSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceWith clustering: 2 database servers on different computers operate on identical copies of a databaseselectable replication factorselectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardAccess rights for users, groups and rolessimple password-based access controlno infoa simple user-level security was built in till version Access 2003

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More resources
Alibaba Cloud MaxComputeH2HiveKairosDBMicrosoft Access
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