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DBMS > GridGain vs. ObjectBox vs. Realm vs. SingleStore vs. SQLite

System Properties Comparison GridGain vs. ObjectBox vs. Realm vs. SingleStore vs. SQLite

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonObjectBox  Xexclude from comparisonRealm  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeWidely used embeddable, in-process RDBMS
Primary database modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Object oriented DBMS
Vector DBMS
Document storeRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score1.08
Rank#179  Overall
#6  Object oriented DBMS
#9  Vector DBMS
Score7.18
Rank#52  Overall
#8  Document stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Score103.35
Rank#10  Overall
#7  Relational DBMS
Websitewww.gridgain.comgithub.com/­objectbox
objectbox.io
realm.iowww.singlestore.comwww.sqlite.org
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.objectbox.iorealm.io/­docsdocs.singlestore.comwww.sqlite.org/­docs.html
DeveloperGridGain Systems, Inc.ObjectBox LimitedRealm, acquired by MongoDB in May 2019SingleStore Inc.Dwayne Richard Hipp
Initial release20072017201420132000
Current releaseGridGain 8.5.14.0 (May 2024)8.5, January 20243.46.1  (13 August 2024), August 2024
License infoCommercial or Open Sourcecommercial, open sourceBindings are released under Apache 2.0 infoApache License 2.0Open Sourcecommercial infofree developer edition availableOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .Net, Python, REST, SQLC and C++C++, GoC
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
Android
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Android
Backend: server-less
iOS
Windows
Linux info64 bit version requiredserver-less
Data schemeyesyesyesyesyes infodynamic column types
Typing infopredefined data types such as float or dateyesyes, plus "flex" map-like typesyesyesyes infonot rigid because of 'dynamic typing' concept.
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.yesnononono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnonoyes infobut no triggers and foreign keysyes infoSQL-92 is not fully supported
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Proprietary native APICluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
.Net
Java infowith Android only
Objective-C
React Native
Swift
Bash
C
C#
Java
JavaScript (Node.js)
Python
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nono inforuns within the applications so server-side scripts are unnecessaryyesno
Triggersyes (cache interceptors and events)noyes infoChange Listenersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding infohash partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Data sync between devices allowing occasional connected databases to work completely offlinenoneSource-replica replication infostores two copies of each physical data partition on two separate nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes infovia file-system locks
Durability infoSupport for making data persistentyesyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoIn-Memory realmyesyes
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
yesyesFine grained access control via users, groups and rolesno
More information provided by the system vendor
GridGainObjectBoxRealmSingleStore infoformer name was MemSQLSQLite
News

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17 September 2024

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11 September 2024

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24 July 2024

Retrieval Augmented Generation (RAG) with vector databases: Expanding AI Capabilities
18 June 2024

The on-device Vector Database for Android and Java
29 May 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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