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

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

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonH2  Xexclude from comparisonHive  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonQuasardb  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 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.)Distributed, high-performance timeseries database
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMSRelational DBMSRelational DBMSTime Series 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
Score105.40
Rank#11  Overall
#8  Relational DBMS
Score0.19
Rank#327  Overall
#30  Time Series DBMS
Websitewww.alibabacloud.com/­product/­maxcomputewww.h2database.comhive.apache.orgwww.microsoft.com/­en-us/­microsoft-365/­accessquasar.ai
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputewww.h2database.com/­html/­main.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homedeveloper.microsoft.com/­en-us/­accessdoc.quasar.ai/­master
DeveloperAlibabaThomas MuellerApache Software Foundation infoinitially developed by FacebookMicrosoftquasardb
Initial release20162005201219922009
Current release2.2.220, July 20233.1.3, April 20221902 (16.0.11328.20222), March 20193.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2commercial infoBundled with Microsoft Officecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++C++
Server operating systemshostedAll OS with a Java VMAll OS with a Java VMWindows infoNot a real database server, but making use of DLLsBSD
Linux
OS X
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infointeger and binary
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 indexesnoyesyesyesyes infowith tags
SQL infoSupport of SQLSQL-like query languageyesSQL-like DML and DDL statementsyes infobut not compliant to any SQL standardSQL-like query language
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBC
ODBC
JDBC
ODBC
Thrift
ADO.NET
DAO
ODBC
OLE DB
HTTP API
Supported programming languagesJavaJavaC++
Java
PHP
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functions infoin JavaJava Stored Procedures and User-Defined Functionsyes infouser defined functions and integration of map-reduceyes infosince Access 2010 using the ACE-engineno
Triggersnoyesnoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneShardingnoneSharding infoconsistent hashing
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 factornoneSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infoquery execution via MapReducenowith Hadoop integration
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 loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient mode
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 2003Cryptographically strong user authentication and audit trail

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More resources
Alibaba Cloud MaxComputeH2HiveMicrosoft AccessQuasardb
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