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DBMS > Alibaba Cloud MaxCompute vs. Amazon DocumentDB vs. Datomic vs. Hypertable vs. Microsoft Access

System Properties Comparison Alibaba Cloud MaxCompute vs. Amazon DocumentDB vs. Datomic vs. Hypertable vs. Microsoft Access

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonDatomic  Xexclude from comparisonHypertable  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingFast, scalable, highly available, and fully managed MongoDB-compatible database serviceDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAn open source BigTable implementation based on distributed file systems such as 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.)
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesDocument storeRelational DBMSWide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score1.91
Rank#131  Overall
#24  Document stores
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputeaws.amazon.com/­documentdbwww.datomic.comwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputeaws.amazon.com/­documentdb/­resourcesdocs.datomic.comdeveloper.microsoft.com/­en-us/­access
DeveloperAlibabaCognitectHypertable Inc.Microsoft
Initial release20162019201220091992
Current release1.0.6735, June 20230.9.8.11, March 20161902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial infolimited edition freeOpen Source infoGNU version 3. Commercial license availablecommercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++C++
Server operating systemshostedhostedAll OS with a Java VMLinux
OS X
Windows infoan inofficial Windows port is available
Windows infoNot a real database server, but making use of DLLs
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesnoyesyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLSQL-like query languagenononoyes infobut not compliant to any SQL standard
APIs and other access methodsFluentd
Flume
MaxCompute Console
proprietary protocol using JSON (MongoDB compatible)RESTful HTTP APIC++ API
Thrift
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesJavaGo
Java
JavaScript (Node.js)
PHP
Python
Clojure
Java
C++
Java
Perl
PHP
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functions infoin Javanoyes infoTransaction Functionsnoyes infosince Access 2010 using the ACE-engine
TriggersnonoBy using transaction functionsnoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenonenone infoBut extensive use of caching in the application peersShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnone infoBut extensive use of caching in the application peersselectable replication factor on file system levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-document operationsACIDnoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes 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.noyes inforecommended only for testing and development
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and rolesnonono infoa simple user-level security was built in till version Access 2003

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More resources
Alibaba Cloud MaxComputeAmazon DocumentDBDatomicHypertableMicrosoft Access
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