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DBMS > Alibaba Cloud MaxCompute vs. Apache IoTDB vs. Atos Standard Common Repository vs. BigObject vs. Microsoft Access

System Properties Comparison Alibaba Cloud MaxCompute vs. Apache IoTDB vs. Atos Standard Common Repository vs. BigObject vs. Microsoft Access

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonApache IoTDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonBigObject  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
This system has been discontinued and will be 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 warehousingAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksAnalytic DBMS for real-time computations and queriesMicrosoft 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 tablesTime Series DBMSDocument store
Key-value store
Relational DBMS infoa hierachical model (tree) can be imposedRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputeiotdb.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorybigobject.iowww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputeiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.bigobject.iodeveloper.microsoft.com/­en-us/­access
DeveloperAlibabaApache Software FoundationAtos Convergence CreatorsBigObject, Inc.Microsoft
Initial release20162018201620151992
Current release1.1.0, April 202317031902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercial infofree community edition availablecommercial 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 languageJavaJavaC++
Server operating systemshostedAll OS with a Java VM (>= 1.8)LinuxLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Windows infoNot a real database server, but making use of DLLs
Data schemeyesyesSchema and schema-less with LDAP viewsyesyes
Typing infopredefined data types such as float or dateyesyesoptionalyesyes
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.nonoyesno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like query languagenoSQL-like DML and DDL statementsyes infobut not compliant to any SQL standard
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBC
Native API
LDAPfluentd
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesJavaC
C#
C++
Go
Java
Python
Scala
All languages with LDAP bindingsC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functions infoin JavayesnoLuayes infosince Access 2010 using the ACE-engine
Triggersnoyesyesnoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infocell divisionnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesIntegration with Hadoop and Sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate Consistency or Eventual Consistency depending on configurationnone
Foreign keys infoReferential integritynononoyes infoautomatically between fact table and dimension tablesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoAtomic execution of specific operationsnoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoRead/write lock on objects (tables, trees)yes
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.noyesyesyes
User concepts infoAccess controlAccess rights for users and rolesyesLDAP bind authenticationnono infoa simple user-level security was built in till version Access 2003

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More resources
Alibaba Cloud MaxComputeApache IoTDBAtos Standard Common RepositoryBigObjectMicrosoft Access
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