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DBMS > RDF4J vs. Vertica

System Properties Comparison RDF4J vs. Vertica

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Editorial information provided by DB-Engines
NameRDF4J infoformerly known as Sesame  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Columnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelRDF storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.37
Rank#223  Overall
#10  RDF stores
Score22.84
Rank#29  Overall
#17  Relational DBMS
Websiterdf4j.orgwww.vertica.com
Technical documentationdocs.rdf4j.orgwww.vertica.com/­documentation/­vertica
DeveloperSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Vertica / Micro Focus infoprior to that Hewlett Packard
Initial release20042005
Current releaseVertica Analytics Platform 9.2.x, March 2019
License infoCommercial or Open SourceOpen Source infoEclipse Distribution License (EDL), v1.0.commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenono infoavailable on Amazon AWS and Microsoft Azure
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsLinux
OS X
Unix
Windows
Linux
Data schemeyes infoRDF Schemasyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesyes
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
Secondary indexesyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLnoyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Kafka
Proprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesJava
PHP
Python
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresyesyes
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMaster-master replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infoin-memory storage is supported as wellyes
User concepts infoAccess controlnofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
RDF4J infoformerly known as SesameVertica infoVertica Analytics Platform
Specific characteristicsColumnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesPerformance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are available
» more

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More resources
RDF4J infoformerly known as SesameVertica infoVertica Analytics Platform
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