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DBMS > Greenplum vs. Manticore Search vs. Microsoft Azure AI Search

System Properties Comparison Greenplum vs. Manticore Search vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionAnalytic 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.Multi-storage database for search, including full-text search.Search-as-a-service for web and mobile app development
Primary database modelRelational DBMSSearch engineSearch engine
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS infousing the Manticore Columnar LibraryVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.71
Rank#46  Overall
#29  Relational DBMS
Score0.23
Rank#301  Overall
#21  Search engines
Score5.75
Rank#58  Overall
#7  Search engines
Websitegreenplum.orgmanticoresearch.comazure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.greenplum.orgmanual.manticoresearch.comlearn.microsoft.com/­en-us/­azure/­search
DeveloperPivotal Software Inc.Manticore SoftwareMicrosoft
Initial release200520172015
Current release7.0.0, September 20236.0, February 2023V1
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL version 2commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemsLinuxFreeBSD
Linux
macOS
Windows
hosted
Data schemeyesFixed schemayes
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.yes infosince Version 4.2Can index from XMLno
Secondary indexesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyesSQL-like query languageno
APIs and other access methodsJDBC
ODBC
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP API
Supported programming languagesC
Java
Perl
Python
R
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresyesuser defined functionsno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSynchronous replication based on Galera libraryyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoisolated transactions for atomic changes and binary logging for safe writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyes infousing Azure authentication

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More resources
GreenplumManticore SearchMicrosoft Azure AI Search
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