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DBMS > Amazon Neptune vs. Oracle Berkeley DB vs. Realm vs. SiteWhere vs. STSdb

System Properties Comparison Amazon Neptune vs. Oracle Berkeley DB vs. Realm vs. SiteWhere vs. STSdb

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonRealm  Xexclude from comparisonSiteWhere  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudWidely used in-process key-value storeA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataM2M integration platform for persisting/querying time series dataKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelGraph DBMS
RDF store
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document storeTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websiteaws.amazon.com/­neptunewww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlrealm.iogithub.com/­sitewhere/­sitewheregithub.com/­STSSoft/­STSdb4
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlrealm.io/­docssitewhere1.sitewhere.io/­index.html
DeveloperAmazonOracle infooriginally developed by Sleepycat, which was acquired by OracleRealm, acquired by MongoDB in May 2019SiteWhereSTS Soft SC
Initial release20171994201420102011
Current release18.1.40, May 20204.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infocommercial license availableOpen SourceOpen Source infoCommon Public Attribution License Version 1.0Open Source infoGPLv2, commercial license available
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)JavaC#
Server operating systemshostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Android
Backend: server-less
iOS
Windows
Linux
OS X
Windows
Windows
Data schemeschema-freeschema-freeyespredefined schemeyes
Typing infopredefined data types such as float or dateyesnoyesyesyes infoprimitive types and user defined types (classes)
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 editionnono
Secondary indexesnoyesyesnono
SQL infoSupport of SQLnoyes infoSQL interfaced based on SQLite is availablenonono
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
HTTP REST.NET Client API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.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
.Net
Java infowith Android only
Objective-C
React Native
Swift
C#
Java
Server-side scripts infoStored proceduresnonono inforuns within the applications so server-side scripts are unnecessaryno
Triggersnoyes infoonly for the SQL APIyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding infobased on HBasenone
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 replicationnoneselectable replication factor infobased on HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyes infoIn-Memory realmno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noyesUsers with fine-grained authorization conceptno

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Amazon NeptuneOracle Berkeley DBRealmSiteWhereSTSdb
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