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DBMS > Greenplum vs. Hyprcubd vs. Netezza vs. Pinecone

System Properties Comparison Greenplum vs. Hyprcubd vs. Netezza vs. Pinecone

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonHyprcubd  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPinecone  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded 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.Serverless Time Series DBMSData warehouse and analytics appliance part of IBM PureSystemsA managed, cloud-native vector database
Primary database modelRelational DBMSTime Series DBMSRelational DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score3.23
Rank#92  Overall
#2  Vector DBMS
Websitegreenplum.orghyprcubd.com (offline)www.ibm.com/­products/­netezzawww.pinecone.io
Technical documentationdocs.greenplum.orgdocs.pinecone.io/­docs/­overview
DeveloperPivotal Software Inc.Hyprcubd, Inc.IBMPinecone Systems, Inc
Initial release200520002019
Current release7.0.0, September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGo
Server operating systemsLinuxhostedLinux infoincluded in appliancehosted
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringyesString, Number, Boolean
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 SQLyesSQL-like query languageyesno
APIs and other access methodsJDBC
ODBC
gRPC (https)JDBC
ODBC
OLE DB
RESTful HTTP API
Supported programming languagesC
Java
Perl
Python
R
C
C++
Fortran
Java
Lua
Perl
Python
R
Python
Server-side scripts infoStored proceduresyesnoyes
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardtoken accessUsers with fine-grained authorization concept

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More resources
GreenplumHyprcubdNetezza infoAlso called PureData System for Analytics by IBMPinecone
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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