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DBMS > Alibaba Cloud MaxCompute vs. Bangdb vs. Hive vs. IBM Db2 warehouse vs. Microsoft Azure SQL Database

System Properties Comparison Alibaba Cloud MaxCompute vs. Bangdb vs. Hive vs. IBM Db2 warehouse vs. Microsoft Azure SQL Database

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonBangdb  Xexclude from comparisonHive  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingConverged and high performance database for device data, events, time series, document and graphdata warehouse software for querying and managing large distributed datasets, built on HadoopCloud-based data warehousing serviceDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesDocument store
Graph DBMS
Time Series DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputebangdb.comhive.apache.orgwww.ibm.com/­products/­db2/­warehouseazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedocs.bangdb.comcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperAlibabaSachin Sinha, BangDBApache Software Foundation infoinitially developed by FacebookIBMMicrosoft
Initial release20162012201220142010
Current releaseBangDB 2.0, October 20213.1.3, April 2022V12
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3Open Source infoApache Version 2commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++JavaC++
Server operating systemshostedLinuxAll OS with a Java VMhostedhosted
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesyesyes
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 infoImport/export of XML data possibleyes
Secondary indexesnoyes infosecondary, composite, nested, reverse, geospatialyesyesyes
SQL infoSupport of SQLSQL-like query languageSQL like support with command line toolSQL-like DML and DDL statementsyesyes
APIs and other access methodsFluentd
Flume
MaxCompute Console
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
Thrift
.NET Client API
JDBC
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Supported programming languagesJavaC
C#
C++
Java
Python
C++
Java
PHP
Python
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin Javanoyes infouser defined functions and integration of map-reducePL/SQL, SQL PLTransact SQL
Triggersnoyes, Notifications (with Streaming only)noyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication factor, Knob for CAP (enterprise version only)selectable replication factoryesyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, run db with in-memory only modeyes
User concepts infoAccess controlAccess rights for users and rolesyes (enterprise version only)Access rights for users, groups and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Alibaba Cloud MaxComputeBangdbHiveIBM Db2 warehouse infoformerly named IBM dashDBMicrosoft Azure SQL Database infoformerly SQL Azure
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