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DBMS > GigaSpaces vs. GridGain vs. LokiJS vs. Microsoft Access vs. Percona Server for MongoDB

System Properties Comparison GigaSpaces vs. GridGain vs. LokiJS vs. Microsoft Access vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonGridGain  Xexclude from comparisonLokiJS  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsGridGain is an in-memory computing platform, built on Apache IgniteIn-memory JavaScript DBMSMicrosoft 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 drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Key-value store
Relational DBMS
Document storeRelational DBMSDocument store
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
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.43
Rank#264  Overall
#42  Document stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Websitewww.gigaspaces.comwww.gridgain.comgithub.com/­techfort/­LokiJSwww.microsoft.com/­en-us/­microsoft-365/­accesswww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlwww.gridgain.com/­docs/­index.htmltechfort.github.io/­LokiJSdeveloper.microsoft.com/­en-us/­accessdocs.percona.com/­percona-distribution-for-mongodb
DeveloperGigaspaces TechnologiesGridGain Systems, Inc.MicrosoftPercona
Initial release20002007201419922015
Current release15.5, September 2020GridGain 8.5.11902 (16.0.11328.20222), March 20193.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercialOpen Sourcecommercial infoBundled with Microsoft OfficeOpen Source infoGPL Version 2
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++, .NetJava, C++, .NetJavaScriptC++C++
Server operating systemsLinux
macOS
Solaris
Windows
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Windows infoNot a real database server, but making use of DLLsLinux
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesyes
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 metadatayesnono
Secondary indexesyesyesyes infovia viewsyesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsANSI-99 for query and DML statements, subset of DDLnoyes infobut not compliant to any SQL standardno
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JavaScript APIADO.NET
DAO
ODBC
OLE DB
proprietary protocol using JSON
Supported programming languages.Net
C++
Java
Python
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
JavaScriptC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresyesyes (compute grid and cache interceptors can be used instead)View functions in JavaScriptyes infosince Access 2010 using the ACE-engineJavaScript
Triggersyes, event driven architectureyes (cache interceptors and events)yesyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes (replicated cache)nonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsyes (compute grid and hadoop accelerator)yesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencynoneEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno infoatomic operations within a single collection possibleACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infovia In-Memory Engine
User concepts infoAccess controlRole-based access controlSecurity Hooks for custom implementationsnono infoa simple user-level security was built in till version Access 2003Access rights for users and roles

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More resources
GigaSpacesGridGainLokiJSMicrosoft AccessPercona Server for MongoDB
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