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DBMS > EsgynDB vs. RDF4J vs. RDFox vs. YugabyteDB

System Properties Comparison EsgynDB vs. RDF4J vs. RDFox vs. YugabyteDB

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRDFox  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.High performance knowledge graph and semantic reasoning engineHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelRelational DBMSRDF storeGraph DBMS
RDF store
Relational DBMS
Secondary database modelsRelational DBMSDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score2.63
Rank#109  Overall
#53  Relational DBMS
Websitewww.esgyn.cnrdf4j.orgwww.oxfordsemantic.techwww.yugabyte.com
Technical documentationrdf4j.org/­documentationdocs.oxfordsemantic.techdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperEsgynSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Oxford Semantic TechnologiesYugabyte Inc.
Initial release2015200420172017
Current release6.0, Septermber 20222.19, September 2023
License infoCommercial or Open SourcecommercialOpen Source infoEclipse Distribution License (EDL), v1.0.commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageC++, JavaJavaC++C and C++
Server operating systemsLinuxLinux
OS X
Unix
Windows
Linux
macOS
Windows
Linux
OS X
Data schemeyesyes infoRDF Schemasyes infoRDF schemasdepending on used data model
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLyesnonoyes, PostgreSQL compatible
APIs and other access methodsADO.NET
JDBC
ODBC
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
RESTful HTTP API
SPARQL 1.1
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetJava
PHP
Python
C
Java
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresJava Stored Proceduresyesyes infosql, plpgsql, C
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersnonereplication via a shared file systemBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoIsolation support depends on the API usedACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoin-memory storage is supported as wellyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoRoles, resources, and access typesyes
More information provided by the system vendor
EsgynDBRDF4J infoformerly known as SesameRDFoxYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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EsgynDBRDF4J infoformerly known as SesameRDFoxYugabyteDB
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