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DBMS > Amazon DocumentDB vs. Apache Drill vs. BigchainDB vs. Microsoft Access vs. RDF4J

System Properties Comparison Amazon DocumentDB vs. Apache Drill vs. BigchainDB vs. Microsoft Access vs. RDF4J

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Drill  Xexclude from comparisonBigchainDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageBigchainDB 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.
Primary database modelDocument storeDocument store
Relational DBMS
Document storeRelational DBMSRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score0.79
Rank#212  Overall
#36  Document stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Websiteaws.amazon.com/­documentdbdrill.apache.orgwww.bigchaindb.comwww.microsoft.com/­en-us/­microsoft-365/­accessrdf4j.org
Technical documentationaws.amazon.com/­documentdb/­resourcesdrill.apache.org/­docsbigchaindb.readthedocs.io/­en/­latestdeveloper.microsoft.com/­en-us/­accessrdf4j.org/­documentation
DeveloperApache Software FoundationMicrosoftSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20192012201619922004
Current release1.20.3, January 20231902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoAGPL v3commercial infoBundled with Microsoft OfficeOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC++Java
Server operating systemshostedLinux
OS X
Windows
LinuxWindows infoNot a real database server, but making use of DLLsLinux
OS X
Unix
Windows
Data schemeschema-freeschema-freeschema-freeyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesnoyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLnoSQL SELECT statement is SQL:2003 compliantnoyes infobut not compliant to any SQL standardno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
RESTful HTTP API
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
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++Go
Haskell
Java
JavaScript
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Java
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsyes infosince Access 2010 using the ACE-engineyes
Triggersnonoyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACID infobut no files for transaction loggingACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesDepending on the underlying data sourceyes,with MongoDB ord RethinkDByes infobut no files for transaction loggingyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data source
User concepts infoAccess controlAccess rights for users and rolesDepending on the underlying data sourceyesno infoa simple user-level security was built in till version Access 2003no

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More resources
Amazon DocumentDBApache DrillBigchainDBMicrosoft AccessRDF4J infoformerly known as Sesame
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