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DBMS > Greenplum vs. Pinecone vs. SQream DB vs. Yaacomo

System Properties Comparison Greenplum vs. Pinecone vs. SQream DB vs. Yaacomo

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonPinecone  Xexclude from comparisonSQream DB  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.A managed, cloud-native vector databasea GPU-based, columnar RDBMS for big data analytics workloadsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSVector DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitegreenplum.orgwww.pinecone.iosqream.comyaacomo.com
Technical documentationdocs.greenplum.orgdocs.pinecone.io/­docs/­overviewdocs.sqream.com
DeveloperPivotal Software Inc.Pinecone Systems, IncSQream TechnologiesQ2WEB GmbH
Initial release2005201920172009
Current release7.0.0, September 20232022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, CUDA, Haskell, Java, Scala
Server operating systemsLinuxhostedLinuxAndroid
Linux
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesString, Number, Booleanyes, ANSI Standard SQL Typesyes
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
Secondary indexesyesnoyes
SQL infoSupport of SQLyesnoyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API.Net
JDBC
ODBC
JDBC
ODBC
Supported programming languagesC
Java
Perl
Python
R
PythonC++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesuser defined functions in Python
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal and vertical partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneSource-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
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
GreenplumPineconeSQream DBYaacomo
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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Recent citations in the news

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SQream Announces Strategic Integration for Powerful Big Data Analytics with Dataiku
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I SQream, you SQream, we all SQream for … data analytics?
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24 June 2020, VentureBeat

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