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DBMS > Google Cloud Firestore vs. LevelDB vs. RDF4J vs. Sequoiadb vs. UniData,UniVerse

System Properties Comparison Google Cloud Firestore vs. LevelDB vs. RDF4J vs. Sequoiadb vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonLevelDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSequoiadb  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionCloud 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.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.NewSQL database with distributed OLTP and SQLMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelDocument storeKey-value storeRDF storeDocument store
Relational DBMS
Multivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.69
Rank#230  Overall
#9  RDF stores
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitefirebase.google.com/­products/­firestoregithub.com/­google/­leveldbrdf4j.orgwww.sequoiadb.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationfirebase.google.com/­docs/­firestoregithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdrdf4j.org/­documentationwww.sequoiadb.com/­en/­index.php?m=Files&a=indexdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperGoogleGoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Sequoiadb Ltd.Rocket Software
Initial release20172011200420131985
Current release1.23, February 2021
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoServer: AGPL; Client: Apache V2commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++C
Server operating systemshostedIllumos
Linux
OS X
Windows
Linux
OS X
Unix
Windows
LinuxAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeschema-freeyes infoRDF Schemasschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesyes infooid, date, timestamp, binary, regexoptional
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.nonono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLnononoSQL-like query languageyes
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
proprietary protocol using JSONJava API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Java
PHP
Python
.Net
C++
Java
PHP
Python
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud FunctionsnoyesJavaScriptyes
Triggersyes, with Cloud Functionsnoyesnoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnonenoneSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID infoIsolation support depends on the API usedDocument is locked during a transactionACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyes infoin-memory storage is supported as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.nonosimple password-based access controlAccess rights according to SQL-standard and operating system based

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More resources
Google Cloud FirestoreLevelDBRDF4J infoformerly known as SesameSequoiadbUniData,UniVerse
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