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DBMS > Amazon DocumentDB vs. BigchainDB vs. Microsoft Access vs. RDF4J vs. XTDB

System Properties Comparison Amazon DocumentDB vs. BigchainDB vs. Microsoft Access vs. RDF4J vs. XTDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBigchainDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsMicrosoft 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.)RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument storeDocument storeRelational DBMSRDF storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.85
Rank#208  Overall
#35  Document stores
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.18
Rank#332  Overall
#46  Document stores
Websiteaws.amazon.com/­documentdbwww.bigchaindb.comwww.microsoft.com/­en-us/­microsoft-365/­accessrdf4j.orggithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationaws.amazon.com/­documentdb/­resourcesbigchaindb.readthedocs.io/­en/­latestdeveloper.microsoft.com/­en-us/­accessrdf4j.org/­documentationwww.xtdb.com/­docs
DeveloperMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Juxt Ltd.
Initial release20192016199220042019
Current release1902 (16.0.11328.20222), March 20191.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoAGPL v3commercial infoBundled with Microsoft OfficeOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC++JavaClojure
Server operating systemshostedLinuxWindows infoNot a real database server, but making use of DLLsLinux
OS X
Unix
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeschema-freeyesyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyesnoyesyesyes, extensible-data-notation format
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 indexesyesyesyesyes
SQL infoSupport of SQLnonoyes infobut not compliant to any SQL standardnolimited SQL, making use of Apache Calcite
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)CLI Client
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
HTTP REST
JDBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Go
Haskell
Java
JavaScript
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Java
PHP
Python
Clojure
Java
Server-side scripts infoStored proceduresnoyes infosince Access 2010 using the ACE-engineyesno
Triggersnoyes infosince Access 2010 using the ACE-engineyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factornonenoneyes, each node contains all data
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 Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACID infobut no files for transaction loggingACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByes infobut no files for transaction loggingyes infoin-memory storage is supported as wellyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
User concepts infoAccess controlAccess rights for users and rolesyesno infoa simple user-level security was built in till version Access 2003no

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More resources
Amazon DocumentDBBigchainDBMicrosoft AccessRDF4J infoformerly known as SesameXTDB infoformerly named Crux
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