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DBMS > Geode vs. Google Cloud Firestore vs. RDF4J vs. Tibero

System Properties Comparison Geode vs. Google Cloud Firestore vs. RDF4J vs. Tibero

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Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesCloud 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.A secure RDBMS, designed for easy portability from Oracle
Primary database modelKey-value storeDocument storeRDF storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#134  Overall
#24  Key-value stores
Score7.36
Rank#53  Overall
#9  Document stores
Score0.74
Rank#222  Overall
#9  RDF stores
Score1.59
Rank#148  Overall
#68  Relational DBMS
Websitegeode.apache.orgfirebase.google.com/­products/­firestorerdf4j.orgus.tmaxsoft.com/­products/­tibero
Technical documentationgeode.apache.org/­docsfirebase.google.com/­docs/­firestorerdf4j.org/­documentationtechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.TmaxSoft
Initial release2002201720042003
Current release1.1, February 20176, April 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and Assembler
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredhostedLinux
OS X
Unix
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeschema-freeyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL-like query language (OQL)nonoyes
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
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
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Java
PHP
Python
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functionsyes, Firebase Rules & Cloud FunctionsyesPersistent Stored Procedure (PSM)
Triggersyes infoCache Event Listenersyes, with Cloud Functionsyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeyesACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno infoplanned for next version
User concepts infoAccess controlAccess rights per client and object definableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.nofine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
GeodeGoogle Cloud FirestoreRDF4J infoformerly known as SesameTibero
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