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

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

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonGigaSpaces  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.High 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 engineMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBSearch-as-a-service for web and mobile app development
Primary database modelSpatial DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Graph DBMS
Key-value store
Relational DBMSSearch engine
Secondary database modelsGraph DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Websitewww.geomesa.orgwww.gigaspaces.comwww.graphengine.iohsqldb.orgazure.microsoft.com/­en-us/­services/­search
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.gigaspaces.com/­latest/­landing.htmlwww.graphengine.io/­docs/­manualhsqldb.org/­web/­hsqlDocsFrame.htmllearn.microsoft.com/­en-us/­azure/­search
DeveloperCCRi and othersGigaspaces TechnologiesMicrosoftMicrosoft
Initial release20142000201020012015
Current release5.0.0, May 202415.5, September 20202.7.2, June 2023V1
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2; Commercial licenses availableOpen Source infoMIT LicenseOpen 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 languageScalaJava, C++, .Net.NET and CJava
Server operating systemsLinux
macOS
Solaris
Windows
.NETAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modeshosted
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nono infoXML can be used for describing objects metadatanonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-99 for query and DML statementsnoyesno
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP APIHTTP API infoJDBC via HTTP
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C++
Java
Python
Scala
C#
C++
F#
Visual Basic
All languages supporting JDBC/ODBC
Java
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnoyesyesJava, SQLno
Triggersnoyes, event driven architecturenoyesno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardinghorizontal partitioningnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
noneyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryesyesyesno
User concepts infoAccess controlyes infodepending on the DBMS used for storageRole-based access controlfine grained access rights according to SQL-standardyes infousing Azure authentication

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More resources
GeoMesaGigaSpacesGraph Engine infoformer name: TrinityHyperSQL infoalso known as HSQLDBMicrosoft Azure AI Search
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