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DBMS > Amazon Neptune vs. Atos Standard Common Repository vs. Graph Engine vs. HyperSQL vs. SiriDB

System Properties Comparison Amazon Neptune vs. Atos Standard Common Repository vs. Graph Engine vs. HyperSQL vs. SiriDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonSiriDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionFast, reliable graph database built for the cloudHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBOpen Source Time Series DBMS
Primary database modelGraph DBMS
RDF store
Document store
Key-value store
Graph DBMS
Key-value store
Relational DBMSTime Series 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
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websiteaws.amazon.com/­neptuneatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.graphengine.iohsqldb.orgsiridb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourceswww.graphengine.io/­docs/­manualhsqldb.org/­web/­hsqlDocsFrame.htmldocs.siridb.com
DeveloperAmazonAtos Convergence CreatorsMicrosoftCesbit
Initial release20172016201020012017
Current release17032.7.2, June 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT LicenseOpen Source infobased on BSD licenseOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava.NET and CJavaC
Server operating systemshostedLinux.NETAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
Data schemeschema-freeSchema and schema-less with LDAP viewsyesyesyes
Typing infopredefined data types such as float or dateyesoptionalyesyesyes infoNumeric data
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.noyesnonono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnononoyesno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
LDAPRESTful HTTP APIHTTP API infoJDBC via HTTP
JDBC
ODBC
HTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
All languages with LDAP bindingsC#
C++
F#
Visual Basic
All languages supporting JDBC/ODBC
Java
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnonoyesJava, SQLno
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionhorizontal partitioningnoneSharding
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.yesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesoptional: 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.yesyesyesyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)LDAP bind authenticationfine grained access rights according to SQL-standardsimple rights management via user accounts

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More resources
Amazon NeptuneAtos Standard Common RepositoryGraph Engine infoformer name: TrinityHyperSQL infoalso known as HSQLDBSiriDB
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