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DBMS > Citus vs. Databend vs. EXASOL vs. Google Cloud Firestore vs. RDF4J

System Properties Comparison Citus vs. Databend vs. EXASOL vs. Google Cloud Firestore vs. RDF4J

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonDatabend  Xexclude from comparisonEXASOL  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.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.RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument storeRDF store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.15
Rank#117  Overall
#56  Relational DBMS
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Score0.74
Rank#222  Overall
#9  RDF stores
Websitewww.citusdata.comgithub.com/­datafuselabs/­databend
www.databend.com
www.exasol.comfirebase.google.com/­products/­firestorerdf4j.org
Technical documentationdocs.citusdata.comdocs.databend.comwww.exasol.com/­resourcesfirebase.google.com/­docs/­firestorerdf4j.org/­documentation
DeveloperDatabend LabsExasolGoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20102021200020172004
Current release8.1, December 20181.0.59, April 2023
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache Version 2.0commercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCRustJava
Server operating systemsLinuxhosted
Linux
macOS
hostedLinux
OS X
Unix
Windows
Data schemeyesyesyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yes infospecific XML type available, but no XML query functionalitynonono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsyesyesnono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
CLI Client
JDBC
RESTful HTTP API
.Net
JDBC
ODBC
WebSocket
Android
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
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
JavaScript (Node.js)
Python
Rust
Java
Lua
Python
R
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nouser defined functionsyes, Firebase Rules & Cloud Functionsyes
Triggersyesnoyesyes, with Cloud Functionsyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsnoneMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoHadoop integrationUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDyesACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user rolesAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.no

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More resources
CitusDatabendEXASOLGoogle Cloud FirestoreRDF4J infoformerly known as Sesame
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