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DBMS > Apache Jena - TDB vs. Apache Spark (SQL) vs. Transwarp Hippo

System Properties Comparison Apache Jena - TDB vs. Apache Spark (SQL) vs. Transwarp Hippo

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Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisonApache Spark (SQL)  Xexclude from comparisonTranswarp Hippo  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 processingCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelRDF storeRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.00
Rank#91  Overall
#3  RDF stores
Score16.73
Rank#35  Overall
#20  Relational DBMS
Score0.00
Rank#388  Overall
#18  Vector DBMS
Websitejena.apache.org/­documentation/­tdb/­index.htmlspark.apache.org/­sqlwww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software Foundation infooriginally developed by HP LabsApache Software Foundation
Initial release200020142023
Current release4.9.0, July 20233.5.0 ( 2.13), September 20231.0, May 2023
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 languageJavaScalaC++
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
Linux
macOS
Data schemeyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyesyesVector, Numeric and String
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 indexesyesnono
SQL infoSupport of SQLnoSQL-like DML and DDL statementsno
APIs and other access methodsFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJavaJava
Python
R
Scala
C++
Java
Python
Server-side scripts infoStored proceduresyesnono
Triggersyes infovia event handlernono
Partitioning methods infoMethods for storing different data on different nodesnoneyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB Transactionsnono
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 SecuritynoRole based access control and fine grained access rights

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More resources
Apache Jena - TDBApache Spark (SQL)Transwarp Hippo
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