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DBMS > Apache Jena - TDB vs. Apache Spark (SQL) vs. Datastax Enterprise

System Properties Comparison Apache Jena - TDB vs. Apache Spark (SQL) vs. Datastax Enterprise

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Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisonApache Spark (SQL)  Xexclude from comparisonDatastax Enterprise  Xexclude from comparison
DescriptionA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkApache Spark SQL is a component on top of 'Spark Core' for structured data processingDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.
Primary database modelRDF storeRelational DBMSWide column store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.44
Rank#101  Overall
#4  RDF stores
Score20.40
Rank#29  Overall
#18  Relational DBMS
Score3.94
Rank#67  Overall
#4  Wide column stores
Websitejena.apache.org/­documentation/­tdb/­index.htmlspark.apache.org/­sqlwww.datastax.com/­products/­datastax-enterprise
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.datastax.com
DeveloperApache Software Foundation infooriginally developed by HP LabsApache Software FoundationDataStax
Initial release200020142011
Current release4.9.0, July 20233.5.0 ( 2.13), September 20236.8, April 2020
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScalaJava
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
Linux
OS X
Data schemeyes infoRDF Schemasyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like DML and DDL statements (CQL); Spark SQL
APIs and other access methodsFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
JDBC
ODBC
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Supported programming languagesJavaJava
Python
R
Scala
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnono
Triggersyes infovia event handlernoyes
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark CoreSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneconfigurable replication factor, datacenter aware, advanced replication for edge computing
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB Transactionsnono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess control via Jena SecuritynoAccess rights for users can be defined per object

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More resources
Apache Jena - TDBApache Spark (SQL)Datastax Enterprise
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