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DBMS > Alibaba Cloud MaxCompute vs. BigchainDB vs. EJDB vs. Microsoft Access vs. SQream DB

System Properties Comparison Alibaba Cloud MaxCompute vs. BigchainDB vs. EJDB vs. Microsoft Access vs. SQream DB

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonBigchainDB  Xexclude from comparisonEJDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Microsoft 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.)a GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesDocument storeDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score0.79
Rank#212  Overall
#36  Document stores
Score0.27
Rank#297  Overall
#44  Document stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputewww.bigchaindb.comgithub.com/­Softmotions/­ejdbwww.microsoft.com/­en-us/­microsoft-365/­accesssqream.com
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputebigchaindb.readthedocs.io/­en/­latestgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddeveloper.microsoft.com/­en-us/­accessdocs.sqream.com
DeveloperAlibabaSoftmotionsMicrosoftSQream Technologies
Initial release20162016201219922017
Current release1902 (16.0.11328.20222), March 20192022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3Open Source infoGPLv2commercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonCC++C++, CUDA, Haskell, Java, Scala
Server operating systemshostedLinuxserver-lessWindows infoNot a real database server, but making use of DLLsLinux
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyes infostring, integer, double, bool, date, object_idyesyes, ANSI Standard SQL Types
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.nono
Secondary indexesnonoyesno
SQL infoSupport of SQLSQL-like query languagenonoyes infobut not compliant to any SQL standardyes
APIs and other access methodsFluentd
Flume
MaxCompute Console
CLI Client
RESTful HTTP API
in-process shared libraryADO.NET
DAO
ODBC
OLE DB
.Net
JDBC
ODBC
Supported programming languagesJavaGo
Haskell
Java
JavaScript
Python
Ruby
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin Javanoyes infosince Access 2010 using the ACE-engineuser defined functions in Python
Triggersnonoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingnonenonehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication factornonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infotypically not needed, however similar functionality with collection joins possibleyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/Write Lockingyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyes 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.no
User concepts infoAccess controlAccess rights for users and rolesyesnono infoa simple user-level security was built in till version Access 2003

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More resources
Alibaba Cloud MaxComputeBigchainDBEJDBMicrosoft AccessSQream DB
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