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DBMS > GigaSpaces vs. Graph Engine vs. HBase vs. HyperSQL vs. Microsoft Azure AI Search

System Properties Comparison GigaSpaces vs. Graph Engine vs. HBase vs. HyperSQL vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHBase  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineWide-column store based on Apache Hadoop and on concepts of BigTableMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBSearch-as-a-service for web and mobile app development
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Graph DBMS
Key-value store
Wide column storeRelational DBMSSearch engine
Secondary database modelsGraph DBMS
Search engine
Vector DBMS
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
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score27.97
Rank#26  Overall
#2  Wide column stores
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Websitewww.gigaspaces.comwww.graphengine.iohbase.apache.orghsqldb.orgazure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlwww.graphengine.io/­docs/­manualhbase.apache.org/­book.htmlhsqldb.org/­web/­hsqlDocsFrame.htmllearn.microsoft.com/­en-us/­azure/­search
DeveloperGigaspaces TechnologiesMicrosoftApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoft
Initial release20002010200820012015
Current release15.5, September 20202.3.4, January 20212.7.2, June 2023V1
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoMIT LicenseOpen Source infoApache version 2Open Source infobased on BSD licensecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .Net.NET and CJavaJava
Server operating systemsLinux
macOS
Solaris
Windows
.NETLinux
Unix
Windows infousing Cygwin
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modeshosted
Data schemeschema-freeyesschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyesyes
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 metadatanononono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsnonoyesno
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP APIJava API
RESTful HTTP API
Thrift
HTTP API infoJDBC via HTTP
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C++
Java
Python
Scala
C#
C++
F#
Visual Basic
C
C#
C++
Groovy
Java
PHP
Python
Scala
All languages supporting JDBC/ODBC
Java
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresyesyesyes infoCoprocessors in JavaJava, SQLno
Triggersyes, event driven architecturenoyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningShardingnoneSharding infoImplicit feature of the cloud service
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
noneyes infoImplicit feature of the cloud service
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, ANYImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoSingle row ACID (across millions of columns)ACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyesno
User concepts infoAccess controlRole-based access controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standardyes infousing Azure authentication

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More resources
GigaSpacesGraph Engine infoformer name: TrinityHBaseHyperSQL infoalso known as HSQLDBMicrosoft Azure AI Search
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