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

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

Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisonDatabend  Xexclude from comparisonLeanXcale  Xexclude from comparisonMicrosoft Access  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 frameworkAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)A Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelRDF storeRelational DBMSKey-value store
Relational DBMS
Relational DBMSWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.75
Rank#84  Overall
#3  RDF stores
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Websitejena.apache.org/­documentation/­tdb/­index.htmlgithub.com/­datafuselabs/­databend
www.databend.com
www.leanxcale.comwww.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmldocs.databend.comdeveloper.microsoft.com/­en-us/­access
DeveloperApache Software Foundation infooriginally developed by HP LabsDatabend LabsLeanXcaleMicrosoftMicrosoft
Initial release20002021201519922012
Current release4.9.0, July 20231.0.59, April 20231902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0Open Source infoApache Version 2.0commercialcommercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaRustC++
Server operating systemsAll OS with a Java VMhosted
Linux
macOS
Windows infoNot a real database server, but making use of DLLshosted
Data schemeyes infoRDF Schemasyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesnoyesno
SQL infoSupport of SQLnoyesyes infothrough Apache Derbyyes infobut not compliant to any SQL standardno
APIs and other access methodsFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
CLI Client
JDBC
RESTful HTTP API
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
DAO
ODBC
OLE DB
RESTful HTTP API
Supported programming languagesJavaGo
Java
JavaScript (Node.js)
Python
Rust
C
Java
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnoyes infosince Access 2010 using the ACE-engineno
Triggersyes infovia event handlernoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB TransactionsyesACIDACID infobut no files for transaction loggingoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes
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 SecurityUsers with fine-grained authorization concept, user rolesno infoa simple user-level security was built in till version Access 2003Access rights based on private key authentication or shared access signatures

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More resources
Apache Jena - TDBDatabendLeanXcaleMicrosoft AccessMicrosoft Azure Table Storage
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