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DBMS > Amazon DocumentDB vs. HEAVY.AI vs. Microsoft Access vs. MonetDB vs. TimesTen

System Properties Comparison Amazon DocumentDB vs. HEAVY.AI vs. Microsoft Access vs. MonetDB vs. TimesTen

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMonetDB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareMicrosoft 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 relational database management system that stores data in columnsIn-Memory RDBMS compatible to Oracle
Primary database modelDocument storeRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websiteaws.amazon.com/­documentdbgithub.com/­heavyai/­heavydb
www.heavy.ai
www.microsoft.com/­en-us/­microsoft-365/­accesswww.monetdb.orgwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.heavy.aideveloper.microsoft.com/­en-us/­accesswww.monetdb.org/­Documentationdocs.oracle.com/­database/­timesten-18.1
DeveloperHEAVY.AI, Inc.MicrosoftMonetDB BVOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20192016199220041998
Current release5.10, January 20221902 (16.0.11328.20222), March 2019Dec2023 (11.49), December 202311 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availablecommercial infoBundled with Microsoft OfficeOpen Source infoMozilla Public License 2.0commercial
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 languageC++ and CUDAC++C
Server operating systemshostedLinuxWindows infoNot a real database server, but making use of DLLsFreeBSD
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesnoyesyesyes
SQL infoSupport of SQLnoyesyes infobut not compliant to any SQL standardyes infoSQL 2003 with some extensionsyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
Thrift
Vega
ADO.NET
DAO
ODBC
OLE DB
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
All languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnonoyes infosince Access 2010 using the ACE-engineyes, in SQL, C, RPL/SQL
Triggersnonoyes infosince Access 2010 using the ACE-engineyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinnoneSharding via remote tablesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replicationnonenone infoSource-replica replication available in experimental statusMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACID infobut no files for transaction loggingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Microsoft AccessMonetDBTimesTen
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