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DBMS > Amazon DocumentDB vs. JSqlDb vs. Netezza vs. Oracle Berkeley DB vs. Rockset

System Properties Comparison Amazon DocumentDB vs. JSqlDb vs. Netezza vs. Oracle Berkeley DB vs. Rockset

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonJSqlDb  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRockset  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceJavaScript Query Language Database, stores JavaScript objects and primitivesData warehouse and analytics appliance part of IBM PureSystemsWidely used in-process key-value storeA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelDocument storeDocument store
Object oriented DBMS
Relational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#124  Overall
#22  Document stores
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score1.88
Rank#130  Overall
#23  Key-value stores
#3  Native XML DBMS
Score1.07
Rank#180  Overall
#31  Document stores
Websiteaws.amazon.com/­documentdbjsqldb.org (offline)www.ibm.com/­products/­netezzawww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlrockset.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.rockset.com
DeveloperKonrad von BackstromIBMOracle infooriginally developed by Sleepycat, which was acquired by OracleRockset
Initial release20192018200019942019
Current release0.8, December 201818.1.40, May 2020
License infoCommercial or Open SourcecommercialOpen SourcecommercialOpen Source infocommercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, C++ (depending on the Berkeley DB edition)C++
Server operating systemshostedLinux
macOS
Windows
Linux infoincluded in applianceAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
hosted
Data schemeschema-freeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesnodynamic typing
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.nonoyes infoonly with the Berkeley DB XML editionno infoingestion from XML files supported
Secondary indexesyesnoyesyesall fields are automatically indexed
SQL infoSupport of SQLnonoyesyes infoSQL interfaced based on SQLite is availableRead-only SQL queries, including JOINs
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
OLE DB
HTTP REST
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
JavaScriptC
C++
Fortran
Java
Lua
Perl
Python
R
.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
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnofunctions in JavaScriptyesnono
Triggersnononoyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingnoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnoneSource-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing RocksDByesyesyes
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 rolesUsers with fine-grained authorization conceptnoAccess rights for users and organizations can be defined via Rockset console

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More resources
Amazon DocumentDBJSqlDbNetezza infoAlso called PureData System for Analytics by IBMOracle Berkeley DBRockset
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