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DBMS > Netezza vs. Sphinx vs. SQream DB

System Properties Comparison Netezza vs. Sphinx vs. SQream DB

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSphinx  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsOpen source search engine for searching in data from different sources, e.g. relational databasesa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelRelational DBMSSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitewww.ibm.com/­products/­netezzasphinxsearch.comsqream.com
Technical documentationsphinxsearch.com/­docsdocs.sqream.com
DeveloperIBMSphinx Technologies Inc.SQream Technologies
Initial release200020012017
Current release3.5.1, February 20232022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++, CUDA, Haskell, Java, Scala
Server operating systemsLinux infoincluded in applianceFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesnoyes, ANSI Standard SQL Types
Secondary indexesyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLyesSQL-like query language (SphinxQL)yes
APIs and other access methodsJDBC
ODBC
OLE DB
Proprietary protocol.Net
JDBC
ODBC
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnouser defined functions in Python
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
User concepts infoAccess controlUsers with fine-grained authorization conceptno

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More resources
Netezza infoAlso called PureData System for Analytics by IBMSphinxSQream DB
DB-Engines blog posts

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

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