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DBMS > EJDB vs. GeoMesa vs. Greenplum vs. Microsoft Azure AI Search

System Properties Comparison EJDB vs. GeoMesa vs. Greenplum vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonGreenplum  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Search-as-a-service for web and mobile app development
Primary database modelDocument storeSpatial DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#296  Overall
#44  Document stores
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Websitegithub.com/­Softmotions/­ejdbwww.geomesa.orggreenplum.orgazure.microsoft.com/­en-us/­services/­search
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.greenplum.orglearn.microsoft.com/­en-us/­azure/­search
DeveloperSoftmotionsCCRi and othersPivotal Software Inc.Microsoft
Initial release2012201420052015
Current release5.0.0, May 20247.0.0, September 2023V1
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoApache License 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCScala
Server operating systemsserver-lessLinuxhosted
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesyes
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.noyes infosince Version 4.2no
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnonoyesno
APIs and other access methodsin-process shared libraryJDBC
ODBC
RESTful HTTP API
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
Java
Perl
Python
R
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnonoyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnonedepending on storage layerShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnonedepending on storage layerSource-replica replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyes
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.depending on storage layernono
User concepts infoAccess controlnoyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardyes infousing Azure authentication

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More resources
EJDBGeoMesaGreenplumMicrosoft Azure AI Search
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