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DBMS > Apache Jena - TDB vs. DolphinDB vs. FatDB vs. Google Cloud Datastore vs. Kingbase

System Properties Comparison Apache Jena - TDB vs. DolphinDB vs. FatDB vs. Google Cloud Datastore vs. Kingbase

Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonFatDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonKingbase  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.A .NET NoSQL DBMS that can integrate with and extend SQL Server.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.
Primary database modelRDF storeTime Series DBMS
Vector DBMS
Document store
Key-value store
Document storeRelational 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
Score2.72
Rank#100  Overall
#8  Time Series DBMS
#5  Vector DBMS
Score4.13
Rank#71  Overall
#12  Document stores
Score0.44
Rank#258  Overall
#117  Relational DBMS
Websitejena.apache.org/­documentation/­tdb/­index.htmlwww.dolphindb.comcloud.google.com/­datastorewww.kingbase.com.cn
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmldocs.dolphindb.cn/­en/­help200/­index.htmlcloud.google.com/­datastore/­docs
DeveloperApache Software Foundation infooriginally developed by HP LabsDolphinDB, IncFatCloudGoogleBeiJing KINGBASE Information technologies inc.
Initial release20002018201220081999
Current release4.9.0, July 2023v2.00.4, January 2022V8.0, August 2021
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0commercial infofree community version availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C#C and Java
Server operating systemsAll OS with a Java VMLinux
Windows
WindowshostedLinux
Windows
Data schemeyes infoRDF Schemasyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes, details hereyes
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.nonoyes
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoSQL-like query languageno infoVia inetgration in SQL ServerSQL-like query language (GQL)Standard with numerous extensions
APIs and other access methodsFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Supported programming languagesJavaC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresyesyesyes infovia applicationsusing Google App Engineuser defined functions
Triggersyes infovia event handlernoyes infovia applicationsCallbacks using the Google Apps Engineyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardingShardinghorizontal partitioning (by range, list and hash) and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesselectable replication factorMulti-source replication using Paxosyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency
Foreign keys infoReferential integritynonoyes infovia ReferenceProperties or Ancestor pathsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB TransactionsyesnoACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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 SecurityAdministrators, Users, Groupsno infoCan implement custom security layer via applicationsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
Apache Jena - TDBDolphinDBFatDBGoogle Cloud DatastoreKingbase
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