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DBMS > Greenplum vs. gStore vs. STSdb vs. WakandaDB

System Properties Comparison Greenplum vs. gStore vs. STSdb vs. WakandaDB

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisongStore  Xexclude from comparisonSTSdb  Xexclude from comparisonWakandaDB  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 native Graph DBMS to store and maintain very large RDF datasets.Key-Value Store with special method for indexing infooptimized for high performance using a special indexing methodWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSGraph DBMS
RDF store
Key-value storeObject oriented DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.71
Rank#46  Overall
#29  Relational DBMS
Score0.03
Rank#367  Overall
#37  Graph DBMS
#18  RDF stores
Score0.03
Rank#365  Overall
#54  Key-value stores
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitegreenplum.orgen.gstore.cngithub.com/­STSSoft/­STSdb4wakanda.github.io
Technical documentationdocs.greenplum.orgen.gstore.cn/­#/­enDocswakanda.github.io/­doc
DeveloperPivotal Software Inc.STS Soft SCWakanda SAS
Initial release2005201620112012
Current release7.0.0, September 20231.2, November 20234.0.8, September 20152.7.0 (AprilĀ 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSDOpen Source infoGPLv2, commercial license availableOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#C++, JavaScript
Server operating systemsLinuxLinuxWindowsLinux
OS X
Windows
Data schemeyesschema-free and OWL/RDFS-schema supportyesyes
Typing infopredefined data types such as float or dateyesyesyes infoprimitive types and user defined types (classes)yes
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 indexesyesno
SQL infoSupport of SQLyesnonono
APIs and other access methodsJDBC
ODBC
HTTP API
SPARQL 1.1
.NET Client APIRESTful HTTP API
Supported programming languagesC
Java
Perl
Python
R
C++
Java
JavaScript (Node.js)
PHP
Python
C#
Java
JavaScript
Server-side scripts infoStored proceduresyesyesnoyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenone
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 integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoACID
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissions, Role-Based Access Control (RBAC) supportednoyes

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More resources
GreenplumgStoreSTSdbWakandaDB
Recent citations in the news

Chapter 1. Introducing the Greenplum Database
6 December 2018, O'Reilly Media

VMware Greenplum on AWS: Parallel Postgres for Enterprise Analytics at Scale
9 September 2019, AWS Blog

Greenplum 6 ventures outside the analytic box
19 March 2019, ZDNet

EMC and Greenplum Dress Elephant for IT Parade
8 December 2011, WIRED

EMC Introduces Breakthrough 'Big Data' Computing System
13 October 2010, PR Newswire

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