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DBMS > Amazon Neptune vs. Netezza vs. OpenQM vs. Oracle Berkeley DB vs. SWC-DB

System Properties Comparison Amazon Neptune vs. Netezza vs. OpenQM vs. Oracle Berkeley DB vs. SWC-DB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudData warehouse and analytics appliance part of IBM PureSystemsQpenQM is a high-performance, self-tuning, multi-value DBMSWidely used in-process key-value storeA high performance, scalable Wide Column DBMS
Primary database modelGraph DBMS
RDF store
Relational DBMSMultivalue DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Wide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websiteaws.amazon.com/­neptunewww.ibm.com/­products/­netezzawww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmwww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperAmazonIBMRocket Software, originally Martin PhillipsOracle infooriginally developed by Sleepycat, which was acquired by OracleAlex Kashirin
Initial release20172000199319942020
Current release3.4-1218.1.40, May 20200.5, April 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPLv2, extended commercial license availableOpen Source infocommercial license availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnononono
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 infoincluded in applianceAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Data schemeschema-freeyesyes infowith some exceptionsschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesno
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.noyesyes infoonly with the Berkeley DB XML editionno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyesnoyes infoSQL interfaced based on SQLite is availableSQL-like query language
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
OLE DB
Proprietary protocol
Thrift
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
Basic
C
Java
Objective C
PHP
Python
.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
C++
Server-side scripts infoStored proceduresnoyesyesnono
Triggersnonoyesyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Source-replica replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users with fine-grained authorization conceptAccess rights can be defined down to the item levelno

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More resources
Amazon NeptuneNetezza infoAlso called PureData System for Analytics by IBMOpenQM infoalso called QMOracle Berkeley DBSWC-DB infoSuper Wide Column Database
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