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DBMS > Atos Standard Common Repository vs. Brytlyt vs. Firebase Realtime Database vs. LokiJS vs. MarkLogic

System Properties Comparison Atos Standard Common Repository vs. Brytlyt vs. Firebase Realtime Database vs. LokiJS vs. MarkLogic

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBrytlyt  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonLokiJS  Xexclude from comparisonMarkLogic  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.In-memory JavaScript DBMSOperational and transactional Enterprise NoSQL database
Primary database modelDocument store
Key-value store
Relational DBMSDocument storeDocument storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score0.43
Rank#264  Overall
#42  Document stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorybrytlyt.iofirebase.google.com/­products/­realtime-databasegithub.com/­techfort/­LokiJSwww.marklogic.com
Technical documentationdocs.brytlyt.iofirebase.google.com/­docs/­databasetechfort.github.io/­LokiJSdocs.marklogic.com
DeveloperAtos Convergence CreatorsBrytlytGoogle infoacquired by Google 2014MarkLogic Corp.
Initial release20162016201220142001
Current release17035.0, August 202311.0, December 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Sourcecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++ and CUDAJavaScriptC++
Server operating systemsLinuxLinux
OS X
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsyesschema-freeschema-freeschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateoptionalyesyesnoyes
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.yesyes infospecific XML-type available, but no XML query functionality.nonoyes
Secondary indexesyesyesyesyes infovia viewsyes
SQL infoSupport of SQLnoyesnonoyes infoSQL92
APIs and other access methodsLDAPADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Android
iOS
JavaScript API
RESTful HTTP API
JavaScript APIJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Java
JavaScript
Objective-C
JavaScriptC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLlimited functionality with using 'rules'View functions in JavaScriptyes infovia XQuery or JavaScript
TriggersyesyesCallbacks are triggered when data changesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
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
noneImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDyesno infoatomic operations within a single collection possibleACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes, with Range Indexes
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardyes, based on authentication and database rulesnoRole-based access control at the document and subdocument levels

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More resources
Atos Standard Common RepositoryBrytlytFirebase Realtime DatabaseLokiJSMarkLogic
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