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DBMS > Atos Standard Common Repository vs. Datomic vs. Firebase Realtime Database vs. Hypertable vs. SQream DB

System Properties Comparison Atos Standard Common Repository vs. Datomic vs. Firebase Realtime Database vs. Hypertable vs. SQream DB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatomic  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHypertable  Xexclude from comparisonSQream DB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionHighly 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 durabilityCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.An open source BigTable implementation based on distributed file systems such as Hadoopa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelDocument store
Key-value store
Relational DBMSDocument storeWide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.datomic.comfirebase.google.com/­products/­realtime-databasesqream.com
Technical documentationdocs.datomic.comfirebase.google.com/­docs/­databasedocs.sqream.com
DeveloperAtos Convergence CreatorsCognitectGoogle infoacquired by Google 2014Hypertable Inc.SQream Technologies
Initial release20162012201220092017
Current release17031.0.6735, June 20230.9.8.11, March 20162022.1.6, December 2022
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialOpen Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ClojureC++C++, CUDA, Haskell, Java, Scala
Server operating systemsLinuxAll OS with a Java VMhostedLinux
OS X
Windows infoan inofficial Windows port is available
Linux
Data schemeSchema and schema-less with LDAP viewsyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptionalyesyesnoyes, ANSI Standard SQL Types
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.yesnono
Secondary indexesyesyesyesrestricted infoonly exact value or prefix value scansno
SQL infoSupport of SQLnonononoyes
APIs and other access methodsLDAPRESTful HTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
C++ API
Thrift
.Net
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsClojure
Java
Java
JavaScript
Objective-C
C++
Java
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyes infoTransaction Functionslimited functionality with using 'rules'nouser defined functions in Python
TriggersyesBy using transaction functionsCallbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnone infoBut extensive use of caching in the application peersShardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersselectable replication factor on file system levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
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 development
User concepts infoAccess controlLDAP bind authenticationnoyes, based on authentication and database rulesno

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More resources
Atos Standard Common RepositoryDatomicFirebase Realtime DatabaseHypertableSQream DB
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