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DBMS > EsgynDB vs. GeoMesa vs. Microsoft Azure AI Search vs. Microsoft Azure Synapse Analytics

System Properties Comparison EsgynDB vs. GeoMesa vs. Microsoft Azure AI Search vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Search-as-a-service for web and mobile app developmentElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSSpatial DBMSSearch engineRelational DBMS
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitewww.esgyn.cnwww.geomesa.orgazure.microsoft.com/­en-us/­services/­searchazure.microsoft.com/­services/­synapse-analytics
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmllearn.microsoft.com/­en-us/­azure/­searchdocs.microsoft.com/­azure/­synapse-analytics
DeveloperEsgynCCRi and othersMicrosoftMicrosoft
Initial release2015201420152016
Current release5.0.0, May 2024V1
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaScalaC++
Server operating systemsLinuxhostedhosted
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnonoyes
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC#
Java
JavaScript
Python
C#
Java
PHP
Server-side scripts infoStored proceduresJava Stored ProceduresnonoTransact SQL
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingdepending on storage layerSharding infoImplicit feature of the cloud serviceSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersdepending on storage layeryes infoImplicit feature of the cloud serviceyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nodepending on storage layerno
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infodepending on the DBMS used for storageyes infousing Azure authenticationyes

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More resources
EsgynDBGeoMesaMicrosoft Azure AI SearchMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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