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DBMS > Greenplum vs. JaguarDB vs. Netezza vs. Snowflake

System Properties Comparison Greenplum vs. JaguarDB vs. Netezza vs. Snowflake

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonJaguarDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSnowflake  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.Performant, highly scalable DBMS for AI and IoT applicationsData warehouse and analytics appliance part of IBM PureSystemsCloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.28
Rank#39  Overall
#24  Relational DBMS
Score0.00
Rank#341  Overall
#61  Key-value stores
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score2.59
Rank#107  Overall
#53  Relational DBMS
Websitepivotal.io/­pivotal-greenplumwww.datajaguar.comwww.ibm.com/­analytics/­netezzawww.snowflake.com
Technical documentationgpdb.docs.pivotal.iowww.datajaguar.com/­support.phpdocs.snowflake.net/­manuals/­index.html
DeveloperPivotal Software Inc.DataJaguar, Inc.IBMSnowflake Computing Inc.
Initial release2005201520002014
Current release6.7.1, April 20202.9.4 September 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL V3.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ infothe server part. Clients available in other languages
Server operating systemsLinuxLinuxLinux infoincluded in appliancehosted
Data schemeyesyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyesyes
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
Secondary indexesyesyesyes
SQL infoSupport of SQLyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyesyes
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
JDBC
ODBC
OLE DB
CLI Client
JDBC
ODBC
Supported programming languagesC
Java
Perl
Python
R
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnoyesuser defined functions
Triggersyesnonono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
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-standardrights management via user accountsUsers with fine-grained authorization conceptUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
GreenplumJaguarDBNetezza infoAlso called PureData System for Analytics by IBMSnowflake
Specific characteristicsSQL support, group by, order by, join
» more
Competitive advantagesExtremely easy to scale-out (in seconds) 100,000 times faster
» more
Typical application scenariosIoT data, time series data, AI data. Any type of numerical data.
» more
Key customersQuantea, 2PiDay, Synqy, SinoLogistics, IIVI
» more
Market metricsAdvertising awareness, installed base, brand image, market share
» more
Licensing and pricing modelsFree-trial license, per-node license, and subscription license.
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesGeneral SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
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CData: Connect to Big Data & NoSQL through standard Drivers.
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More resources
GreenplumJaguarDBNetezza infoAlso called PureData System for Analytics by IBMSnowflake
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