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DBMS > GigaSpaces vs. IBM Cloudant vs. SQLite vs. Typesense

System Properties Comparison GigaSpaces vs. IBM Cloudant vs. SQLite vs. Typesense

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonSQLite  Xexclude from comparisonTypesense  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsDatabase as a Service offering based on Apache CouchDBWidely used embeddable, in-process RDBMSA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Document storeRelational DBMSSearch engine
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score111.41
Rank#10  Overall
#7  Relational DBMS
Score0.76
Rank#219  Overall
#14  Search engines
Websitewww.gigaspaces.comwww.ibm.com/­products/­cloudantwww.sqlite.orgtypesense.org
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlcloud.ibm.com/­docs/­Cloudantwww.sqlite.org/­docs.htmltypesense.org/­docs
DeveloperGigaspaces TechnologiesIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Dwayne Richard Hipp
Initial release2000201020002015
Current release15.5, September 20203.46.0  (23 May 2024), May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoPublic DomainOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetErlangCC++
Server operating systemsLinux
macOS
Solaris
Windows
hostedserver-lessLinux
Data schemeschema-freeschema-freeyes infodynamic column typesschema-free infopre-defined schema optional
Typing infopredefined data types such as float or dateyesnoyes infonot rigid because of 'dynamic typing' concept.yes
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 metadatanono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsnoyes infoSQL-92 is not fully supportedno
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP/JSON APIADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
RESTful HTTP API
Supported programming languages.Net
C++
Java
Python
Scala
C#
Java
JavaScript
Objective-C
PHP
Ruby
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
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresyesView functions (Map-Reduce) in JavaScriptnono
Triggersyes, event driven architectureyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
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
noneMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a document possibleACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyes infovia file-system locksyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlRole-based access controlAccess rights for users can be defined per databaseno

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More resources
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