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DBMS > GridGain vs. Oracle vs. Yaacomo

System Properties Comparison GridGain vs. Oracle vs. Yaacomo

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonOracle  Xexclude from comparisonYaacomo  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteWidely used RDBMSOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelKey-value store
Relational DBMS		Relational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.92
Rank#126  Overall
#25  Key-value stores
#62  Relational DBMS
Score1287.74
Rank#1  Overall
#1  Relational DBMS
Score0.01
Rank#356  Overall
#155  Relational DBMS
Websitewww.gridgain.comwww.oracle.com/­databaseyaacomo.com
Technical documentationwww.gridgain.com/­docs/­latestdocs.oracle.com/­en/­database
DeveloperGridGain Systems, Inc.OracleQ2WEB GmbH
Initial release200719802009
Current releaseGridGain 8.5.119c, February 2019
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC and C++
Server operating systemsLinux
OS X
Solaris
Windows		AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS		Android
Linux
Windows
Data schemeyesyes infoSchemaless in JSON and XML columnsyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesyesno
Secondary indexesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyes infowith proprietary extensionsyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data		JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)		JDBC
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala		C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)PL/SQL infoalso stored procedures in Java possible
Triggersyes (cache interceptors and events)yesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-source replication
Source-replica replication		Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)no infocan be realized in PL/SQLno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoisolation level can be parameterizedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'yes
User concepts infoAccess controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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