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DBMS > Greenplum vs. Kuzu vs. LeanXcale

System Properties Comparison Greenplum vs. Kuzu vs. LeanXcale

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonKuzu  Xexclude from comparisonLeanXcale  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.An embeddable property Graph DBMS built for query speed and scalabilityA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilities
Primary database modelRelational DBMSGraph DBMSKey-value store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.49
Rank#43  Overall
#27  Relational DBMS
Score0.02
Rank#368  Overall
#38  Graph DBMS
Score0.23
Rank#298  Overall
#43  Key-value stores
#134  Relational DBMS
Websitegreenplum.orgkuzudb.comwww.leanxcale.com
Technical documentationdocs.greenplum.orgdocs.kuzudb.com
DeveloperPivotal Software Inc.LeanXcale
Initial release200520222015
Current release7.0.0, September 20230.4.2, May 2024
License infoCommercial or Open Sourcecommercial infoApache 2.0Open Source infoMIT licensecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemsLinuxserver-less
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes
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 4.2no
Secondary indexesyesno
SQL infoSupport of SQLyesnoyes infothrough Apache Derby
APIs and other access methodsJDBC
ODBC
CLI Client
Cypher Query Language
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Supported programming languagesC
Java
Perl
Python
R
C
C#
C++
Java
JavaScript
Python
Rust
C
Java
Scala
Server-side scripts infoStored proceduresyesno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
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 datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes
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-standardno

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More resources
GreenplumKuzuLeanXcale
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