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DBMS > Hive vs. Kdb vs. Microsoft Azure SQL Database vs. Netezza

System Properties Comparison Hive vs. Kdb vs. Microsoft Azure SQL Database vs. Netezza

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonKdb  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopHigh performance Time Series DBMSDatabase as a Service offering with high compatibility to Microsoft SQL ServerData warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMSTime Series DBMS
Vector DBMS
Relational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websitehive.apache.orgkx.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.ibm.com/­products/­netezza
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homecode.kx.comdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperApache Software Foundation infoinitially developed by FacebookKx Systems, a division of First Derivatives plcMicrosoftIBM
Initial release20122000 infokdb was released 2000, kdb+ in 200320102000
Current release3.1.3, April 20223.6, May 2018V12
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree 32-bit versioncommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaqC++
Server operating systemsAll OS with a Java VMLinux
OS X
Solaris
Windows
hostedLinux 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.yesyes
Secondary indexesyesyes infotable attribute 'grouped'yesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (q)yesyes
APIs and other access methodsJDBC
ODBC
Thrift
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
ODBC
JDBC
ODBC
OLE DB
Supported programming languagesC++
Java
PHP
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsTransact SQLyes
Triggersnoyes infowith viewsyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyes, with always 3 replicas availableSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno infosimilar paradigm used for internal processingnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
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.yes
User concepts infoAccess controlAccess rights for users, groups and rolesrights management via user accountsfine grained access rights according to SQL-standardUsers with fine-grained authorization concept
More information provided by the system vendor
HiveKdbMicrosoft Azure SQL Database infoformerly SQL AzureNetezza infoAlso called PureData System for Analytics by IBM
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
HiveKdbMicrosoft Azure SQL Database infoformerly SQL AzureNetezza infoAlso called PureData System for Analytics by IBM
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