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

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

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonDragonfly  Xexclude from comparisonGigaSpaces  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  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 frameworkA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceHigh 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 Server
Primary database modelRelational DBMSRDF storeKey-value storeDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMS
Secondary database modelsGraph DBMS
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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
Score0.41
Rank#266  Overall
#38  Key-value stores
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitewww.4d.comjena.apache.org/­documentation/­tdb/­index.htmlgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.gigaspaces.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationdeveloper.4d.comjena.apache.org/­documentation/­tdb/­index.htmlwww.dragonflydb.io/­docsdocs.gigaspaces.com/­latest/­landing.htmldocs.microsoft.com/­azure/­synapse-analytics
Developer4D, IncApache Software Foundation infooriginally developed by HP LabsDragonflyDB team and community contributorsGigaspaces TechnologiesMicrosoft
Initial release19842000202320002016
Current releasev20, April 20234.9.0, July 20231.0, March 202315.5, September 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache License, Version 2.0Open Source infoBSL 1.1Open Source infoApache Version 2; Commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java, C++, .NetC++
Server operating systemsOS X
Windows
All OS with a Java VMLinuxLinux
macOS
Solaris
Windows
hosted
Data schemeyesyes infoRDF Schemasscheme-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesstrings, hashes, lists, sets, sorted sets, bit arraysyesyes
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.yesnono infoXML can be used for describing objects metadatano
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyes infoclose to SQL 92nonoSQL-99 for query and DML statementsyes
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
Proprietary protocol infoRESP - REdis Serialization ProtocolGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
Supported programming languages4D proprietary IDE
PHP
JavaC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
.Net
C++
Java
Python
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresyesyesLuayesTransact SQL
Triggersyesyes infovia event handlerpublish/subscribe channels provide some trigger functionalityyes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneSource-replica replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integrityyesnonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoTDB TransactionsAtomic execution of command blocks and scriptsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, strict serializability by the serveryesyes
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.noyesyes
User concepts infoAccess controlUsers and groupsAccess control via Jena SecurityPassword-based authenticationRole-based access controlyes

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