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DBMS > 4D vs. Apache Jena - TDB vs. GigaSpaces vs. Microsoft Azure Synapse Analytics vs. Rockset

System Properties Comparison 4D vs. Apache Jena - TDB vs. GigaSpaces vs. Microsoft Azure Synapse Analytics vs. Rockset

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMSRDF storeDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSDocument store
Secondary database modelsGraph DBMS
Search engine
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score3.75
Rank#84  Overall
#3  RDF stores
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Websitewww.4d.comjena.apache.org/­documentation/­tdb/­index.htmlwww.gigaspaces.comazure.microsoft.com/­services/­synapse-analyticsrockset.com
Technical documentationdeveloper.4d.comjena.apache.org/­documentation/­tdb/­index.htmldocs.gigaspaces.com/­latest/­landing.htmldocs.microsoft.com/­azure/­synapse-analyticsdocs.rockset.com
Developer4D, IncApache Software Foundation infooriginally developed by HP LabsGigaspaces TechnologiesMicrosoftRockset
Initial release19842000200020162019
Current releasev20, April 20234.9.0, July 202315.5, September 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache License, Version 2.0Open Source infoApache Version 2; Commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetC++C++
Server operating systemsOS X
Windows
All OS with a Java VMLinux
macOS
Solaris
Windows
hostedhosted
Data schemeyesyes infoRDF Schemasschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesdynamic typing
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.yesno infoXML can be used for describing objects metadatanono infoingestion from XML files supported
Secondary indexesyesyesyesyesall fields are automatically indexed
SQL infoSupport of SQLyes infoclose to SQL 92noSQL-99 for query and DML statementsyesRead-only SQL queries, including JOINs
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
Fuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
HTTP REST
Supported programming languages4D proprietary IDE
PHP
Java.Net
C++
Java
Python
Scala
C#
Java
PHP
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesyesyesTransact SQLno
Triggersyesyes infovia event handleryes, event driven architecturenono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding, horizontal partitioningAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoTDB TransactionsACIDACIDno
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.noyes
User concepts infoAccess controlUsers and groupsAccess control via Jena SecurityRole-based access controlyesAccess rights for users and organizations can be defined via Rockset console

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4D infoformer name: 4th DimensionApache Jena - TDBGigaSpacesMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRockset
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