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DBMS > Apache Jena - TDB vs. Apache Pinot vs. LeanXcale vs. Microsoft Azure Table Storage

System Properties Comparison Apache Jena - TDB vs. Apache Pinot vs. LeanXcale vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisonApache Pinot  Xexclude from comparisonLeanXcale  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelRDF storeRelational DBMSKey-value store
Relational DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.75
Rank#84  Overall
#3  RDF stores
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Websitejena.apache.org/­documentation/­tdb/­index.htmlpinot.apache.orgwww.leanxcale.comazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmldocs.pinot.apache.org
DeveloperApache Software Foundation infooriginally developed by HP LabsApache Software Foundation and contributorsLeanXcaleMicrosoft
Initial release2000201520152012
Current release4.9.0, July 20231.0.0, September 2023
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0Open Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemsAll OS with a Java VMAll OS with a Java JDK11 or higherhosted
Data schemeyes infoRDF Schemasyesyesschema-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.no
Secondary indexesyesno
SQL infoSupport of SQLnoSQL-like query languageyes infothrough Apache Derbyno
APIs and other access methodsFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
JDBCJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
RESTful HTTP API
Supported programming languagesJavaGo
Java
Python
C
Java
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesno
Triggersyes infovia event handlerno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB TransactionsACIDoptimistic locking
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.yesno
User concepts infoAccess controlAccess control via Jena SecurityAccess rights based on private key authentication or shared access signatures

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More resources
Apache Jena - TDBApache PinotLeanXcaleMicrosoft Azure Table Storage
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