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DBMS > Amazon Neptune vs. Fujitsu Enterprise Postgres vs. OpenEdge vs. Realm vs. Trafodion

System Properties Comparison Amazon Neptune vs. Fujitsu Enterprise Postgres vs. OpenEdge vs. Realm vs. Trafodion

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonOpenEdge  Xexclude from comparisonRealm  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFast, reliable graph database built for the cloudEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Application development environment with integrated database management systemA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataTransactional SQL-on-Hadoop DBMS
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.20
Rank#119  Overall
#9  Graph DBMS
#5  RDF stores
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websiteaws.amazon.com/­neptunewww.postgresql.fastware.comwww.progress.com/­openedgerealm.iotrafodion.apache.org
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.postgresql.fastware.com/­product-manualsdocumentation.progress.com/­output/­ua/­OpenEdge_latestrealm.io/­docstrafodion.apache.org/­documentation.html
DeveloperAmazonPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyProgress Software CorporationRealm, acquired by MongoDB in May 2019Apache Software Foundation, originally developed by HP
Initial release2017198420142014
Current releaseFujitsu Enterprise Postgres 14, January 2022OpenEdge 12.2, March 20202.3.0, February 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen SourceOpen Source infoApache 2.0
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 languageCC++, Java
Server operating systemshostedLinux
Windows
AIX
HP-UX
Linux
Solaris
Windows
Android
Backend: server-less
iOS
Windows
Linux
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesnono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoyesyes infoclose to SQL 92noyes
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
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Progress proprietary ABL (Advanced Business Language).Net
Java infowith Android only
Objective-C
React Native
Swift
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnouser defined functionsyesno inforuns within the applications so server-side scripts are unnecessaryJava Stored Procedures
Triggersnoyesyesyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesnonepartitioning by range, list and by hashhorizontal partitioning infosince Version 11.4noneSharding
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 replicationnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.noyes infoIn-Memory realmno
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 and groupsyesfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon NeptuneFujitsu Enterprise PostgresOpenEdgeRealmTrafodion
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
Amazon NeptuneFujitsu Enterprise PostgresOpenEdgeRealmTrafodion
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