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DBMS > RDF4J vs. SpatiaLite vs. Teradata Aster vs. Tigris vs. YDB

System Properties Comparison RDF4J vs. SpatiaLite vs. Teradata Aster vs. Tigris vs. YDB

Editorial information provided by DB-Engines
NameRDF4J infoformerly known as Sesame  Xexclude from comparisonSpatiaLite  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTigris  Xexclude from comparisonYDB  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Spatial extension of SQLitePlatform for big data analytics on multistructured data sources and typesA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructureA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRDF storeSpatial DBMSRelational DBMSDocument store
Key-value store
Search engine
Time Series DBMS
Document store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#222  Overall
#9  RDF stores
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websiterdf4j.orgwww.gaia-gis.it/­fossil/­libspatialite/­indexwww.tigrisdata.comgithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationrdf4j.org/­documentationwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlwww.tigrisdata.com/­docsydb.tech/­en/­docs
DeveloperSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Alessandro FurieriTeradataTigris Data, Inc.Yandex
Initial release20042008200520222019
Current release5.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1commercialOpen Source infoApache Version 2.0Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsLinux
OS X
Unix
Windows
server-lessLinuxLinux
macOS
Windows
Linux
Data schemeyes infoRDF SchemasyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File StoreyesFlexible Schema (defined schema, partial schema, schema free)
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.noyes infoin Aster File Storenono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoyesyesnoSQL-like query language (YQL)
APIs and other access methodsJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
ADO.NET
JDBC
ODBC
OLE DB
CLI Client
gRPC
RESTful HTTP API
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesJava
PHP
Python
C
C#
C++
Java
Python
R
Go
Java
JavaScript (Node.js)
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyesnoR packagesnono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.yesActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoIsolation support depends on the API usedACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infoin-memory storage is supported as wellyesyesyes, using FoundationDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlnonofine grained access rights according to SQL-standardAccess rights for users and rolesAccess rights defined for Yandex Cloud users

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More resources
RDF4J infoformerly known as SesameSpatiaLiteTeradata AsterTigrisYDB
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