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DBMS > Amazon Neptune vs. HugeGraph vs. Oracle vs. searchxml

System Properties Comparison Amazon Neptune vs. HugeGraph vs. Oracle vs. searchxml

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonHugeGraph  Xexclude from comparisonOracle  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA fast-speed and highly-scalable Graph DBMSWidely used RDBMSDBMS for structured and unstructured content wrapped with an application server
Primary database modelGraph DBMS
RDF store
Graph DBMSRelational DBMSNative XML DBMS
Search engine
Secondary database modelsDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.40
Rank#103  Overall
#6  Graph DBMS
#4  RDF stores
Score0.42
Rank#271  Overall
#21  Graph DBMS
Score1236.37
Rank#1  Overall
#1  Relational DBMS
Score0.00
Rank#381  Overall
#7  Native XML DBMS
#24  Search engines
Websiteaws.amazon.com/­neptunegithub.com/­hugegraphwww.oracle.com/­databasewww.searchxml.net/­category/­products
Technical documentationaws.amazon.com/­neptune/­developer-resourceshugegraph.github.io/­hugegraph-docdocs.oracle.com/­en/­databasewww.searchxml.net/­support/­handouts
DeveloperAmazonBaiduOracleinformationpartners gmbh
Initial release2017201819802015
Current release0.919c, February 20191.0
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C++
Server operating systemshostedLinux
macOS
Unix
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Windows
Data schemeschema-freeyesyes infoSchemaless in JSON and XML columnsschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesyes
Secondary indexesnoyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLnonoyes infowith proprietary extensionsno
APIs and other access methodsRDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Groovy
Java
Python
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsPL/SQL infoalso stored procedures in Java possibleyes infoon the application server
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicasyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication
Source-replica replication
yes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparkno infocan be realized in PL/SQLno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyes infoedges in graphyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoisolation level can be parameterizedmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'no
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users, roles and permissionsfine grained access rights according to SQL-standardDomain, group and role-based access control at the document level and for application services

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More resources
Amazon NeptuneHugeGraphOraclesearchxml
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