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DBMS > EsgynDB vs. Microsoft Azure AI Search vs. PostGIS

System Properties Comparison EsgynDB vs. Microsoft Azure AI Search vs. PostGIS

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPostGIS  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionSearch-as-a-service for web and mobile app developmentSpatial extension of PostgreSQL
Primary database modelRelational DBMSSearch engineSpatial DBMS
Secondary database modelsVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Websitewww.esgyn.cnazure.microsoft.com/­en-us/­services/­searchpostgis.net
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchpostgis.net/­documentation
DeveloperEsgynMicrosoft
Initial release201520152005
Current releaseV13.4.2, February 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaC
Server operating systemsLinuxhosted
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyesnoyes
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC#
Java
JavaScript
Python
Server-side scripts infoStored proceduresJava Stored Proceduresnouser defined functions
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyes infoImplicit feature of the cloud serviceyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousing Azure authenticationyes infobased on PostgreSQL

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More resources
EsgynDBMicrosoft Azure AI SearchPostGIS
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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