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DBMS > Amazon DocumentDB vs. FatDB vs. Microsoft Access vs. TerminusDB

System Properties Comparison Amazon DocumentDB vs. FatDB vs. Microsoft Access vs. TerminusDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonFatDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA .NET NoSQL DBMS that can integrate with and extend SQL Server.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.)Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelDocument storeDocument store
Key-value store
Relational DBMSGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websiteaws.amazon.com/­documentdbwww.microsoft.com/­en-us/­microsoft-365/­accessterminusdb.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdeveloper.microsoft.com/­en-us/­accessterminusdb.github.io/­terminusdb/­#
DeveloperFatCloudMicrosoftDataChemist Ltd.
Initial release2019201219922018
Current release1902 (16.0.11328.20222), March 201911.0.0, January 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBundled with Microsoft OfficeOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#C++Prolog, Rust
Server operating systemshostedWindowsWindows infoNot a real database server, but making use of DLLsLinux
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLnono infoVia inetgration in SQL Serveryes infobut not compliant to any SQL standardSQL-like query language (WOQL)
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible).NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
DAO
ODBC
OLE DB
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
JavaScript
Python
Server-side scripts infoStored proceduresnoyes infovia applicationsyes infosince Access 2010 using the ACE-engineyes
Triggersnoyes infovia applicationsyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factornoneJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyes infoin-memory journaling
User concepts infoAccess controlAccess rights for users and rolesno infoCan implement custom security layer via applicationsno infoa simple user-level security was built in till version Access 2003Role-based access control

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More resources
Amazon DocumentDBFatDBMicrosoft AccessTerminusDB infoformer name was DataChemist
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