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DBMS > Apache Jena - TDB vs. eXtremeDB vs. GigaSpaces vs. Microsoft Azure Synapse Analytics vs. TimesTen

System Properties Comparison Apache Jena - TDB vs. eXtremeDB vs. GigaSpaces vs. Microsoft Azure Synapse Analytics vs. TimesTen

Editorial information provided by DB-Engines
NameApache Jena - TDB  Xexclude from comparisoneXtremeDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkNatively in-memory DBMS with options for persistency, high-availability and clusteringHigh 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 ServerIn-Memory RDBMS compatible to Oracle
Primary database modelRDF storeRelational DBMS
Time Series DBMS
Document store
Object oriented DBMS infoValues are user defined objects
Relational DBMSRelational DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.75
Rank#84  Overall
#3  RDF stores
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitejena.apache.org/­documentation/­tdb/­index.htmlwww.mcobject.comwww.gigaspaces.comazure.microsoft.com/­services/­synapse-analyticswww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationjena.apache.org/­documentation/­tdb/­index.htmlwww.mcobject.com/­docs/­extremedb.htmdocs.gigaspaces.com/­latest/­landing.htmldocs.microsoft.com/­azure/­synapse-analyticsdocs.oracle.com/­database/­timesten-18.1
DeveloperApache Software Foundation infooriginally developed by HP LabsMcObjectGigaspaces TechnologiesMicrosoftOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20002001200020161998
Current release4.9.0, July 20238.2, 202115.5, September 202011 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache License, Version 2.0commercialOpen Source infoApache Version 2; Commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and C++Java, C++, .NetC++
Server operating systemsAll OS with a Java VMAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
macOS
Solaris
Windows
hostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyes infoRDF Schemasyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.no infosupport of XML interfaces availableno infoXML can be used for describing objects metadatanono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoyes infowith the option: eXtremeSQLSQL-99 for query and DML statementsyesyes
APIs and other access methodsFuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesJava.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
C++
Java
Python
Scala
C#
Java
PHP
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyesyesyesTransact SQLPL/SQL
Triggersyes infovia event handleryes infoby defining eventsyes, event driven architecturenono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning / shardingShardingSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yesMulti-source replication
Source-replica replication
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 ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoTDB TransactionsACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess control via Jena SecurityRole-based access controlyesfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache Jena - TDBeXtremeDBGigaSpacesMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTimesTen
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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More resources
Apache Jena - TDBeXtremeDBGigaSpacesMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTimesTen
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