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DBMS > Amazon Neptune vs. Atos Standard Common Repository vs. Datomic vs. Oracle NoSQL vs. SiriDB

System Properties Comparison Amazon Neptune vs. Atos Standard Common Repository vs. Datomic vs. Oracle NoSQL vs. SiriDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDatomic  Xexclude from comparisonOracle NoSQL  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 networksDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodesOpen Source Time Series DBMS
Primary database modelGraph DBMS
RDF store
Document store
Key-value store
Relational DBMSDocument store
Key-value store
Relational DBMS
Time 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
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score2.95
Rank#100  Overall
#17  Document stores
#17  Key-value stores
#50  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websiteaws.amazon.com/­neptuneatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.datomic.comwww.oracle.com/­database/­nosql/­technologies/­nosqlsiridb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.datomic.comdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.htmldocs.siridb.com
DeveloperAmazonAtos Convergence CreatorsCognitectOracleCesbit
Initial release20172016201220112017
Current release17031.0.6735, June 202323.3, December 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial infolimited edition freeOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)Open Source infoMIT License
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 languageJavaJava, ClojureJavaC
Server operating systemshostedLinuxAll OS with a Java VMLinux
Solaris SPARC/x86
Linux
Data schemeschema-freeSchema and schema-less with LDAP viewsyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.yes
Typing infopredefined data types such as float or dateyesoptionalyesoptionalyes 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 indexesnoyesyesyesyes
SQL infoSupport of SQLnononoSQL-like DML and DDL statementsno
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
LDAPRESTful HTTP APIRESTful HTTP APIHTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
All languages with LDAP bindingsClojure
Java
C
C#
Go
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnonoyes infoTransaction Functionsnono
TriggersnoyesBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionnone infoBut extensive use of caching in the application peersShardingSharding
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.yesnone infoBut extensive use of caching in the application peersElectable source-replica replication per shard. Support distributed global deployment with Multi-region table featureyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Foreign keys infoReferential integrityyes infoRelationships in graphsnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDconfigurable infoACID within a storage node (=shard)no
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentyes infooff heap cacheyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)LDAP bind authenticationnoAccess rights for users and rolessimple rights management via user accounts

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More resources
Amazon NeptuneAtos Standard Common RepositoryDatomicOracle NoSQLSiriDB
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