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DBMS > Greenplum vs. Pinecone vs. Postgres-XL vs. RocksDB

System Properties Comparison Greenplum vs. Pinecone vs. Postgres-XL vs. RocksDB

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonPinecone  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRocksDB  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.A managed, cloud-native vector databaseBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSVector DBMSRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.71
Rank#46  Overall
#29  Relational DBMS
Score3.02
Rank#87  Overall
#3  Vector DBMS
Score0.43
Rank#260  Overall
#119  Relational DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Websitegreenplum.orgwww.pinecone.iowww.postgres-xl.orgrocksdb.org
Technical documentationdocs.greenplum.orgdocs.pinecone.io/­docs/­overviewwww.postgres-xl.org/­documentationgithub.com/­facebook/­rocksdb/­wiki
DeveloperPivotal Software Inc.Pinecone Systems, IncFacebook, Inc.
Initial release200520192014 infosince 2012, originally named StormDB2013
Current release7.0.0, September 202310 R1, October 20189.4.0, June 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoMozilla public licenseOpen Source infoBSD
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 languageCC++
Server operating systemsLinuxhostedLinux
macOS
Linux
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesString, Number, Booleanyesno
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 4.2noyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesno
SQL infoSupport of SQLyesnoyes infodistributed, parallel query executionno
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
C++ API
Java API
Supported programming languagesC
Java
Perl
Python
R
Python.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyesuser defined functionsno
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCCyes
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.nononoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
GreenplumPineconePostgres-XLRocksDB
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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Chapter 1. Introducing the Greenplum Database
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