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DBMS > Amazon Neptune vs. OpenEdge vs. Oracle Berkeley DB vs. Ultipa vs. Yanza

System Properties Comparison Amazon Neptune vs. OpenEdge vs. Oracle Berkeley DB vs. Ultipa vs. Yanza

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonOpenEdge  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonUltipa  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFast, reliable graph database built for the cloudApplication development environment with integrated database management systemWidely used in-process key-value storeHigh performance Graph DBMS supporting HTAP high availability cluster deploymentTime Series DBMS for IoT Applications
Primary database modelGraph DBMS
RDF store
Relational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Graph DBMSTime 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
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score0.19
Rank#330  Overall
#30  Graph DBMS
Websiteaws.amazon.com/­neptunewww.progress.com/­openedgewww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.ultipa.comyanza.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.ultipa.com/­document
DeveloperAmazonProgress Software CorporationOracle infooriginally developed by Sleepycat, which was acquired by OracleUltipaYanza
Initial release20171984199420192015
Current releaseOpenEdge 12.2, March 202018.1.40, May 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infocommercial license availablecommercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Windows
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnono
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 indexesnoyesyesno
SQL infoSupport of SQLnoyes infoclose to SQL 92yes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP APIHTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Progress proprietary ABL (Advanced Business Language).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++
Go
Java
JavaScript (Node.js)
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresnoyesnono
Triggersnoyesyes infoonly for the SQL APIyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infosince Version 11.4nonenone
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 replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users and groupsnono

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More resources
Amazon NeptuneOpenEdgeOracle Berkeley DBUltipaYanza
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