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DBMS > GridGain vs. Microsoft Access vs. Realm vs. RethinkDB

System Properties Comparison GridGain vs. Microsoft Access vs. Realm vs. RethinkDB

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRealm  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelKey-value store
Relational DBMS
Relational DBMSDocument storeDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score2.74
Rank#105  Overall
#19  Document stores
Websitewww.gridgain.comwww.microsoft.com/­en-us/­microsoft-365/­accessrealm.iorethinkdb.com
Technical documentationwww.gridgain.com/­docs/­index.htmldeveloper.microsoft.com/­en-us/­accessrealm.io/­docsrethinkdb.com/­docs
DeveloperGridGain Systems, Inc.MicrosoftRealm, acquired by MongoDB in May 2019The Linux Foundation infosince July 2017
Initial release2007199220142009
Current releaseGridGain 8.5.11902 (16.0.11328.20222), March 20192.4.1, August 2020
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft OfficeOpen SourceOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC++C++
Server operating systemsLinux
OS X
Solaris
Windows
Windows infoNot a real database server, but making use of DLLsAndroid
Backend: server-less
iOS
Windows
Linux
OS X
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infostring, binary, float, bool, date, geometry
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
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyes infobut not compliant to any SQL standardnono
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
Java infowith Android only
Objective-C
React Native
Swift
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infosince Access 2010 using the ACE-engineno inforuns within the applications so server-side scripts are unnecessary
Triggersyes (cache interceptors and events)yes infosince Access 2010 using the ACE-engineyes infoChange ListenersClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)nonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infobut no files for transaction loggingACIDAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC based
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-Memory realmno
User concepts infoAccess controlSecurity Hooks for custom implementationsno infoa simple user-level security was built in till version Access 2003yesyes infousers and table-level permissions

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More resources
GridGainMicrosoft AccessRealmRethinkDB
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