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DBMS > Amazon Neptune vs. Cachelot.io vs. Graph Engine vs. OpenEdge vs. Oracle Berkeley DB

System Properties Comparison Amazon Neptune vs. Cachelot.io vs. Graph Engine vs. OpenEdge vs. Oracle Berkeley DB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonCachelot.io  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonOpenEdge  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudIn-memory caching systemA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineApplication development environment with integrated database management systemWidely used in-process key-value store
Primary database modelGraph DBMS
RDF store
Key-value storeGraph DBMS
Key-value store
Relational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Websiteaws.amazon.com/­neptunecachelot.iowww.graphengine.iowww.progress.com/­openedgewww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.graphengine.io/­docs/­manualdocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperAmazonMicrosoftProgress Software CorporationOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release20172015201019841994
Current releaseOpenEdge 12.2, March 202018.1.40, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoSimplified BSD LicenseOpen Source infoMIT LicensecommercialOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++.NET and CC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemshostedFreeBSD
Linux
OS X
.NETAIX
HP-UX
Linux
Solaris
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyesno
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.nononoyesyes infoonly with the Berkeley DB XML edition
Secondary indexesnonoyesyes
SQL infoSupport of SQLnononoyes infoclose to SQL 92yes infoSQL interfaced based on SQLite is available
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Memcached protocolRESTful HTTP APIJDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C#
C++
F#
Visual Basic
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
Server-side scripts infoStored proceduresnonoyesyesno
Triggersnononoyesyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioninghorizontal partitioning infosince Version 11.4none
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.noneSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restnooptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noUsers and groupsno

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More resources
Amazon NeptuneCachelot.ioGraph Engine infoformer name: TrinityOpenEdgeOracle Berkeley DB
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