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DBMS > Amazon Neptune vs. Atos Standard Common Repository vs. Firebase Realtime Database vs. ObjectBox vs. SiriDB

System Properties Comparison Amazon Neptune vs. Atos Standard Common Repository vs. Firebase Realtime Database vs. ObjectBox vs. SiriDB

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonObjectBox  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 networksCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Lightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsOpen Source Time Series DBMS
Primary database modelGraph DBMS
RDF store
Document store
Key-value store
Document storeObject oriented DBMS
Vector DBMS
Time Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score13.64
Rank#39  Overall
#6  Document stores
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Websiteaws.amazon.com/­neptuneatos.net/en/convergence-creators/portfolio/standard-common-repositoryfirebase.google.com/­products/­realtime-databasegithub.com/­objectbox
objectbox.io
siridb.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesfirebase.google.com/­docs/­databasedocs.objectbox.iodocs.siridb.com
DeveloperAmazonAtos Convergence CreatorsGoogle infoacquired by Google 2014ObjectBox LimitedCesbit
Initial release20172016201220172017
Current release17034.0 (May 2024)
License infoCommercial or Open SourcecommercialcommercialcommercialBindings are released under Apache 2.0 infoApache License 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++C
Server operating systemshostedLinuxhostedAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Linux
Data schemeschema-freeSchema and schema-less with LDAP viewsschema-freeyesyes
Typing infopredefined data types such as float or dateyesoptionalyesyes, plus "flex" map-like typesyes 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 SQLnonononono
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
LDAPAndroid
iOS
JavaScript API
RESTful HTTP API
Proprietary native APIHTTP API
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
All languages with LDAP bindingsJava
JavaScript
Objective-C
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnonolimited functionality with using 'rules'nono
TriggersnoyesCallbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionnoneSharding
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.yesData sync between devices allowing occasional connected databases to work completely offlineyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)LDAP bind authenticationyes, based on authentication and database rulesyessimple rights management via user accounts
More information provided by the system vendor
Amazon NeptuneAtos Standard Common RepositoryFirebase Realtime DatabaseObjectBoxSiriDB
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More resources
Amazon NeptuneAtos Standard Common RepositoryFirebase Realtime DatabaseObjectBoxSiriDB
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