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DBMS > Amazon Neptune vs. OpenEdge vs. OpenTenBase vs. RDF4J vs. Spark SQL

System Properties Comparison Amazon Neptune vs. OpenEdge vs. OpenTenBase vs. RDF4J vs. Spark SQL

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonOpenEdge  Xexclude from comparisonOpenTenBase  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudApplication development environment with integrated database management systemAn enterprise-level distributed HTAP open source database based on PostgreSQLRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSRDF storeRelational 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
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteaws.amazon.com/­neptunewww.progress.com/­openedgegithub.com/­OpenTenBase/­OpenTenBase
www.opentenbase.org
rdf4j.orgspark.apache.org/­sql
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.opentenbase.org
docs.opentenbase.org/­en
rdf4j.org/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAmazonProgress Software CorporationOpenAtom Foundation, previously TencentSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Apache Software Foundation
Initial release2017198420042014
Current releaseOpenEdge 12.2, March 20202.5, January 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD-3Open Source infoEclipse Distribution License (EDL), v1.0.Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScala
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
LinuxLinux
OS X
Unix
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyes infoRDF Schemasyes
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.noyesno
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnoyes infoclose to SQL 92yesnoSQL-like DML and DDL statements
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
JDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Progress proprietary ABL (Advanced Business Language)C
Go
Java
PHP
Python
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyesyesno
Triggersnoyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infosince Version 11.4Shardingnoneyes, utilizing Spark Core
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 replicationyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users and groupsAccess rights for users, groups and roles according to SQL-standardnono

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More resources
Amazon NeptuneOpenEdgeOpenTenBaseRDF4J infoformerly known as SesameSpark SQL
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