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DBMS > Faircom EDGE vs. GeoMesa vs. Greenplum vs. Microsoft Azure AI Search

System Properties Comparison Faircom EDGE vs. GeoMesa vs. Greenplum vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonGeoMesa  Xexclude from comparisonGreenplum  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsGeoMesa 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 modelKey-value store
Relational DBMS
Spatial DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Websitewww.faircom.com/­products/­faircom-edgewww.geomesa.orggreenplum.orgazure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.greenplum.orglearn.microsoft.com/­en-us/­azure/­search
DeveloperFairCom CorporationCCRi and othersPivotal Software Inc.Microsoft
Initial release1979201420052015
Current releaseV3, October 20205.0.0, May 20247.0.0, September 2023V1
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen 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 languageANSI C, C++Scala
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
Linuxhosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesyesyes
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.yesnoyes infosince Version 4.2no
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infoANSI SQL queriesnoyesno
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C
Java
Perl
Python
R
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++noyesno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningdepending on storage layerShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsdepending 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 systemImmediate Consistency
Tunable Consistency
depending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyesyes
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.yesdepending on storage layernono
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.yes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardyes infousing Azure authentication

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More resources
Faircom EDGE infoformerly c-treeEDGEGeoMesaGreenplumMicrosoft Azure AI Search
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