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DBMS > Atos Standard Common Repository vs. Drizzle vs. Google Cloud Firestore vs. JaguarDB vs. MonetDB

System Properties Comparison Atos Standard Common Repository vs. Drizzle vs. Google Cloud Firestore vs. JaguarDB vs. MonetDB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDrizzle  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonJaguarDB  Xexclude from comparisonMonetDB  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Performant, highly scalable DBMS for AI and IoT applicationsA relational database management system that stores data in columns
Primary database modelDocument store
Key-value store
Relational DBMSDocument storeKey-value store
Vector DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.36
Rank#53  Overall
#9  Document stores
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryfirebase.google.com/­products/­firestorewww.jaguardb.comwww.monetdb.org
Technical documentationfirebase.google.com/­docs/­firestorewww.jaguardb.com/­support.htmlwww.monetdb.org/­Documentation
DeveloperAtos Convergence CreatorsDrizzle project, originally started by Brian AkerGoogleDataJaguar, Inc.MonetDB BV
Initial release20162008201720152004
Current release17037.2.4, September 20123.3 July 2023Dec2023 (11.49), December 2023
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLcommercialOpen Source infoGPL V3.0Open Source infoMozilla Public License 2.0
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++ infothe server part. Clients available in other languagesC
Server operating systemsLinuxFreeBSD
Linux
OS X
hostedLinuxFreeBSD
Linux
OS X
Solaris
Windows
Data schemeSchema and schema-less with LDAP viewsyesschema-freeyesyes
Typing infopredefined data types such as float or dateoptionalyesyesyesyes
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 indexesyesyesyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infoSQL 2003 with some extensions
APIs and other access methodsLDAPJDBCAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesAll languages with LDAP bindingsC
C++
Java
PHP
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnonoyes, Firebase Rules & Cloud Functionsnoyes, in SQL, C, R
Triggersyesno infohooks for callbacks inside the server can be used.yes, with Cloud Functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardingShardingSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
Multi-source replicationMulti-source replicationnone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnonoyes
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 persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlLDAP bind authenticationPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.rights management via user accountsfine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryDrizzleGoogle Cloud FirestoreJaguarDBMonetDB
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