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DBMS > Greenplum vs. Microsoft Azure AI Search vs. Stardog vs. Yaacomo

System Properties Comparison Greenplum vs. Microsoft Azure AI Search vs. Stardog vs. Yaacomo

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonStardog  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
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.Search-as-a-service for web and mobile app developmentEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSSearch engineGraph DBMS
RDF store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websitegreenplum.orgazure.microsoft.com/­en-us/­services/­searchwww.stardog.comyaacomo.com
Technical documentationdocs.greenplum.orglearn.microsoft.com/­en-us/­azure/­searchdocs.stardog.com
DeveloperPivotal Software Inc.MicrosoftStardog-UnionQ2WEB GmbH
Initial release2005201520102009
Current release7.0.0, September 2023V17.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemsLinuxhostedLinux
macOS
Windows
Android
Linux
Windows
Data schemeyesyesschema-free and OWL/RDFS-schema supportyes
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.yes infosince Version 4.2nono infoImport/export of XML data possibleno
Secondary indexesyesyesyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLyesnoYes, compatible with all major SQL variants through dedicated BI/SQL Serveryes
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
JDBC
ODBC
Supported programming languagesC
Java
Perl
Python
R
C#
Java
JavaScript
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyesnouser defined functions and aggregates, HTTP Server extensions in Java
Triggersyesnoyes infovia event handlersyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicenonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoImplicit feature of the cloud serviceMulti-source replication in HA-ClusterSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integrityyesnoyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
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.nonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousing Azure authenticationAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
GreenplumMicrosoft Azure AI SearchStardogYaacomo
Recent citations in the news

1. Introducing the Greenplum Database - Data Warehousing with Greenplum [Book]
6 December 2018, oreilly.com

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RSA: EMC integrates Hadoop with Greenplum database
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Greenplum 6 ventures outside the analytic box | ZDNET
19 March 2019, ZDNet

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7 November 2019, InfoWorld

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