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DBMS > GigaSpaces vs. TimesTen vs. Ultipa

System Properties Comparison GigaSpaces vs. TimesTen vs. Ultipa

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonTimesTen  Xexclude from comparisonUltipa  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsIn-Memory RDBMS compatible to OracleHigh performance Graph DBMS supporting HTAP high availability cluster deployment
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSGraph DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Score0.13
Rank#335  Overall
#31  Graph DBMS
Websitewww.gigaspaces.comwww.oracle.com/­database/­technologies/­related/­timesten.htmlwww.ultipa.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmldocs.oracle.com/­database/­timesten-18.1www.ultipa.com/­document
DeveloperGigaspaces TechnologiesOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Ultipa
Initial release200019982019
Current release15.5, September 202011 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .Net
Server operating systemsLinux
macOS
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyesyes
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 infoXML can be used for describing objects metadatano
Secondary indexesyesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsyes
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
RESTful HTTP API
Supported programming languages.Net
C++
Java
Python
Scala
C
C++
Java
PL/SQL
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesPL/SQL
Triggersyes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes 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.yesyes
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standard

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More resources
GigaSpacesTimesTenUltipa
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