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DBMS > Apache Jena - TDB vs. Google Cloud Bigtable vs. Kdb vs. MonetDB

System Properties Comparison Apache Jena - TDB vs. Google Cloud Bigtable vs. Kdb vs. MonetDB

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Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonKdb  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.High performance Time Series DBMSA relational database management system that stores data in columns
Primary database modelRDF storeKey-value store
Wide column store
Time Series DBMS
Vector DBMS
Relational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.91
Rank#93  Overall
#3  RDF stores
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score1.72
Rank#135  Overall
#62  Relational DBMS
Websitejena.apache.org/­documentation/­tdb/­index.htmlcloud.google.com/­bigtablekx.comwww.monetdb.org
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmlcloud.google.com/­bigtable/­docscode.kx.comwww.monetdb.org/­Documentation
DeveloperApache Software Foundation infooriginally developed by HP LabsGoogleKx Systems, a division of First Derivatives plcMonetDB BV
Initial release200020152000 infokdb was released 2000, kdb+ in 20032004
Current release4.9.0, July 20233.6, May 2018Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0commercialcommercial infofree 32-bit versionOpen Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaqC
Server operating systemsAll OS with a Java VMhostedLinux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyes infoRDF Schemasschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.noyes
Secondary indexesyesnoyes infotable attribute 'grouped'yes
SQL infoSupport of SQLnonoSQL-like query language (q)yes infoSQL 2003 with some extensions
APIs and other access methodsFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesJavaC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyesnouser defined functionsyes, in SQL, C, R
Triggersyes infovia event handlernoyes infowith viewsyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioningSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesnoneInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationnone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB TransactionsAtomic single-row operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 SecurityAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)rights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache Jena - TDBGoogle Cloud BigtableKdbMonetDB
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
Apache Jena - TDBGoogle Cloud BigtableKdbMonetDB
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