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DBMS > Amazon Neptune vs. EDB Postgres vs. HugeGraph vs. Oracle

System Properties Comparison Amazon Neptune vs. EDB Postgres vs. HugeGraph vs. Oracle

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonEDB Postgres  Xexclude from comparisonHugeGraph  Xexclude from comparisonOracle  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.A fast-speed and highly-scalable Graph DBMSWidely used RDBMS
Primary database modelGraph DBMS
RDF store
Relational DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.82
Rank#109  Overall
#9  Graph DBMS
#5  RDF stores
Score2.46
Rank#121  Overall
#58  Relational DBMS
Score0.14
Rank#340  Overall
#31  Graph DBMS
Score1221.06
Rank#1  Overall
#1  Relational DBMS
Websiteaws.amazon.com/­neptunewww.enterprisedb.comgithub.com/­hugegraph
hugegraph.apache.org
www.oracle.com/­database
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.enterprisedb.com/­docshugegraph.apache.org/­docsdocs.oracle.com/­en/­database
DeveloperAmazonEnterpriseDBBaiduOracle
Initial release2017200520181980
Current release14, December 20210.923c, September 2023
License infoCommercial or Open Sourcecommercialcommercial infoBSD for PostgreSQL-componentsOpen Source infoApache Version 2.0commercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC and C++
Server operating systemshostedLinux
Windows
Linux
macOS
Unix
AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Data schemeschema-freeyesyesyes infoSchemaless in JSON and XML columns
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.noyes infospecific XML-type available, but no XML query functionality.noyes
Secondary indexesnoyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnoyes infostandard with numerous extensionsnoyes infowith proprietary extensions
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
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
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.asynchronous Gremlin script jobsPL/SQL infoalso stored procedures in Java possible
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoby hash, list or rangeyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding, horizontal partitioning
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.Multi-source replicationyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparkno infocan be realized in PL/SQL
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyes infoedges in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infoisolation level can be parameterized
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.noyesyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardUsers, roles and permissionsfine grained access rights according to SQL-standard

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More resources
Amazon NeptuneEDB PostgresHugeGraphOracle
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