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DBMS > Amazon DocumentDB vs. FatDB vs. IBM Db2 vs. Oracle Berkeley DB

System Properties Comparison Amazon DocumentDB vs. FatDB vs. IBM Db2 vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonFatDB  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonOracle Berkeley DB  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.Common in IBM host environments, 2 different versions for host and Windows/LinuxWidely used in-process key-value store
Primary database modelDocument storeDocument store
Key-value store
Relational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score128.46
Rank#8  Overall
#5  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Websiteaws.amazon.com/­documentdbwww.ibm.com/­products/­db2www.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationaws.amazon.com/­documentdb/­resourceswww.ibm.com/­docs/­en/­db2docs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperFatCloudIBMOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release201920121983 infohost version1994
Current release12.1, October 201618.1.40, May 2020
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree version is availableOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#C and C++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemshostedWindowsAIX
HP-UX
Linux
Solaris
Windows
z/OS
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.noyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnono infoVia inetgration in SQL Serveryesyes infoSQL interfaced based on SQLite is available
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible).NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresnoyes infovia applicationsyesno
Triggersnoyes infovia applicationsyesyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoonly with Windows/Unix/Linux Versionnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable replication factoryes infowith separate tools (MQ, InfoSphere)Source-replica replication
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 possiblenoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and rolesno infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standardno

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More resources
Amazon DocumentDBFatDBIBM Db2 infoformerly named DB2 or IBM Database 2Oracle Berkeley DB
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