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DBMS > Altibase vs. Faircom EDGE vs. RavenDB vs. RDF4J vs. ToroDB

System Properties Comparison Altibase vs. Faircom EDGE vs. RavenDB vs. RDF4J vs. ToroDB

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonRavenDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn enterprise grade, high-performance RDBMSFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelRelational DBMSKey-value store
Relational DBMS
Document storeRDF storeDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#189  Overall
#88  Relational DBMS
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score0.74
Rank#222  Overall
#9  RDF stores
Websitealtibase.comwww.faircom.com/­products/­faircom-edgeravendb.netrdf4j.orggithub.com/­torodb/­server
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlravendb.net/­docsrdf4j.org/­documentation
DeveloperAltibaseFairCom CorporationHibernating RhinosSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.8Kdata
Initial release19991979201020042016
Current releasev7.3, 2023, August 2023V3, October 20205.4, July 2022
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercial infoRestricted, free version availableOpen Source infoAGPL version 3, commercial license availableOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ANSI C, C++C#JavaJava
Server operating systemsAIX
HP-UX
Linux
Android
Linux infoARM, x86
Raspbian
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Unix
Windows
All OS with a Java 7 VM
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesnoyesyes infostring, integer, double, boolean, date, object_id
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.noyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI SQL-92yes infoANSI SQL queriesSQL-like query language (RQL)no
APIs and other access methodsJDBC
ODBC
Proprietary protocol
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC
C++
Java
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresstored procedures and stored functionsyes info.Net, JavaScript, C/C++yesyes
Triggersyesyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingFile partitioning infoCustomizable business rules for partitioningShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoSynchronous and asynchronous realtime replication based on transaction logsMulti-source replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyes infowhen using SQLnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID, Cluster-wide transaction availableACID infoIsolation support depends on the API usedno
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Authorization levels configured per client per databasenoAccess rights for users and roles

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More resources
AltibaseFaircom EDGE infoformerly c-treeEDGERavenDBRDF4J infoformerly known as SesameToroDB
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