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DBMS > Amazon DocumentDB vs. EJDB vs. Hive vs. Interbase vs. NuoDB

System Properties Comparison Amazon DocumentDB vs. EJDB vs. Hive vs. Interbase vs. NuoDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonEJDB  Xexclude from comparisonHive  Xexclude from comparisonInterbase  Xexclude from comparisonNuoDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceEmbeddable document-store database library with JSON representation of queries (in MongoDB style)data warehouse software for querying and managing large distributed datasets, built on HadoopLight-weight proven RDBMS infooriginally from BorlandNuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelDocument storeDocument storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.31
Rank#296  Overall
#44  Document stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Websiteaws.amazon.com/­documentdbgithub.com/­Softmotions/­ejdbhive.apache.orgwww.embarcadero.com/­products/­interbasewww.3ds.com/­nuodb-distributed-sql-database
Technical documentationaws.amazon.com/­documentdb/­resourcesgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.embarcadero.com/­products/­interbasedoc.nuodb.com
DeveloperSoftmotionsApache Software Foundation infoinitially developed by FacebookEmbarcaderoDassault Systèmes infooriginally NuoDB, Inc.
Initial release20192012201219842013
Current release3.1.3, April 2022InterBase 2020, December 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2Open Source infoApache Version 2commercialcommercial infolimited edition free
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 languageCJavaCC++
Server operating systemshostedserver-lessAll OS with a Java VMAndroid
iOS
Linux
OS X
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesyesyes
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 infoexport as XML data possibleno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsyesyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)in-process shared libraryJDBC
ODBC
Thrift
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C++
Java
PHP
Python
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes infouser defined functions and integration of map-reduceyes infoInterbase procedure and trigger languageJava, SQL
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingnonedata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnoneselectable replication factorInterbase Change Viewsyes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleno infotypically not needed, however similar functionality with collection joins possiblenoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnonoACIDACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyes infoMultiversion concurreny controlyes infoMVCC
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTemporary table
User concepts infoAccess controlAccess rights for users and rolesnoAccess rights for users, groups and rolesfine grained access rights according to SQL-standardStandard SQL roles/ privileges, Administrative Users

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More resources
Amazon DocumentDBEJDBHiveInterbaseNuoDB
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