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DBMS > Apache Kylin vs. Atos Standard Common Repository vs. Firebase Realtime Database vs. MonetDB vs. Yaacomo

System Properties Comparison Apache Kylin vs. Atos Standard Common Repository vs. Firebase Realtime Database vs. MonetDB vs. Yaacomo

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonMonetDB  Xexclude from comparisonYaacomo  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackHighly 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.A relational database management system that stores data in columnsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSDocument store
Key-value store
Document storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score1.72
Rank#141  Overall
#64  Relational DBMS
Websitekylin.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositoryfirebase.google.com/­products/­realtime-databasewww.monetdb.orgyaacomo.com
Technical documentationkylin.apache.org/­docsfirebase.google.com/­docs/­databasewww.monetdb.org/­Documentation
DeveloperApache Software Foundation, originally contributed from eBay IncAtos Convergence CreatorsGoogle infoacquired by Google 2014MonetDB BVQ2WEB GmbH
Initial release20152016201220042009
Current release3.1.0, July 20201703Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoMozilla Public License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC
Server operating systemsLinuxLinuxhostedFreeBSD
Linux
OS X
Solaris
Windows
Android
Linux
Windows
Data schemeyesSchema and schema-less with LDAP viewsschema-freeyesyes
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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.noyesnono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)nonoyes infoSQL 2003 with some extensionsyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
LDAPAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsJava
JavaScript
Objective-C
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'yes, in SQL, C, R
TriggersyesCallbacks are triggered when data changesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding via remote tableshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoSource-replica replication available in experimental statusSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
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 integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlLDAP bind authenticationyes, based on authentication and database rulesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache KylinAtos Standard Common RepositoryFirebase Realtime DatabaseMonetDBYaacomo
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