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DBMS > GigaSpaces vs. GridGain vs. Microsoft Azure AI Search vs. Quasardb

System Properties Comparison GigaSpaces vs. GridGain vs. Microsoft Azure AI Search vs. Quasardb

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonGridGain  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonQuasardb  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 IgniteSearch-as-a-service for web and mobile app developmentDistributed, high-performance timeseries database
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Columnar
Key-value store
Object oriented DBMS
Relational DBMS
Search engineTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.91
Rank#197  Overall
#33  Document stores
#7  Object oriented DBMS
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score5.75
Rank#58  Overall
#7  Search engines
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Websitewww.gigaspaces.comwww.gridgain.comazure.microsoft.com/­en-us/­services/­searchquasar.ai
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlwww.gridgain.com/­docs/­index.htmllearn.microsoft.com/­en-us/­azure/­searchdoc.quasar.ai/­master
DeveloperGigaspaces TechnologiesGridGain Systems, Inc.Microsoftquasardb
Initial release2000200720152009
Current release15.5, September 2020GridGain 8.5.1V13.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availablecommercial, open sourcecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetJava, C++, .Net, Python, REST, SQLC++
Server operating systemsLinux
macOS
Solaris
Windows
Linux
OS X
Solaris
Windows
z/OS
hostedBSD
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binary
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 indexesyesyesyesyes infowith tags
SQL infoSupport of SQLSQL-99 for query and DML statementsANSI-99 for query and DML statements, subset of DDLnoSQL-like query language
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
RESTful HTTP APIHTTP API
Supported programming languages.Net
C++
Java
Python
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyesyes (compute grid and cache interceptors can be used instead)nono
Triggersyes, event driven architectureyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes (replicated cache)yes infoImplicit feature of the cloud serviceSource-replica replication with selectable replication factor
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)nowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes infoTransient mode
User concepts infoAccess controlRole-based access controlRole-based access control
Security Hooks for custom implementations
yes infousing Azure authenticationCryptographically strong user authentication and audit trail

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More resources
GigaSpacesGridGainMicrosoft Azure AI SearchQuasardb
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