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DBMS > Hive vs. Kyligence Enterprise vs. Netezza vs. PostGIS

System Properties Comparison Hive vs. Kyligence Enterprise vs. Netezza vs. PostGIS

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPostGIS  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA distributed analytics engine for big data, built on top of Apache KylinData warehouse and analytics appliance part of IBM PureSystemsSpatial extension of PostgreSQL
Primary database modelRelational DBMSRelational DBMSRelational DBMSSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Websitehive.apache.orgkyligence.io/­kyligence-enterprisewww.ibm.com/­products/­netezzapostgis.net
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homepostgis.net/­documentation
DeveloperApache Software Foundation infoinitially developed by FacebookKyligence, Inc.IBM
Initial release2012201620002005
Current release3.1.3, April 20223.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC
Server operating systemsAll OS with a Java VMLinuxLinux infoincluded in appliance
Data schemeyesyesyesyes
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.noyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsANSI SQL for queries (using Apache Calcite)yesyes
APIs and other access methodsJDBC
ODBC
Thrift
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
OLE DB
Supported programming languagesC++
Java
PHP
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesuser defined functions
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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.nono
User concepts infoAccess controlAccess rights for users, groups and rolesUsers with fine-grained authorization conceptyes infobased on PostgreSQL

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More resources
HiveKyligence EnterpriseNetezza infoAlso called PureData System for Analytics by IBMPostGIS
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Recent citations in the news

Apache Software Foundation Announces Apache® Hive 4.0
30 April 2024, GlobeNewswire

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10 August 2021, Blocks & Files

How Kyligence Cloud uses Amazon EMR Serverless to simplify OLAP | Amazon Web Services
9 November 2022, AWS Blog

Kyligence Doubles Down on Cubes in the Cloud
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IBM announces availability of the high-performance, cloud-native Netezza Performance Server as a Service on AWS
11 July 2023, ibm.com

AWS and IBM Netezza come out in support of Iceberg in table format face-off
1 August 2023, The Register

Migrating your Netezza data warehouse to Amazon Redshift | Amazon Web Services
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12 August 2020, ibm.com

IBM Brings Back a Netezza, Attacks Yellowbrick
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