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DBMS > Netezza vs. QuestDB vs. Sphinx

System Properties Comparison Netezza vs. QuestDB vs. Sphinx

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonQuestDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsA high performance, low latency Time Series DBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSTime Series DBMSSearch engine
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.65
Rank#33  Overall
#20  Relational DBMS
Score0.28
Rank#266  Overall
#20  Time Series DBMS
Score6.47
Rank#59  Overall
#7  Search engines
Websitewww.ibm.com/­products/­netezzaquestdb.iosphinxsearch.com
Technical documentationquestdb.io/­docs/­introductionsphinxsearch.com/­docs
DeveloperIBMQuestDB LimitedSphinx Technologies Inc.
Initial release200020142001
Current release3.2.1, January 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsLinux infoincluded in applianceLinux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesno
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.no
Secondary indexesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLyesSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
OLE DB
HTTP RESTProprietary protocol
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
JavaC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by timestamps)Sharding infoPartitioning is done manually, search queries against distributed index is supported
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 dataACIDACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlUsers with fine-grained authorization conceptno
More information provided by the system vendor
Netezza infoAlso called PureData System for Analytics by IBMQuestDBSphinx
Specific characteristicsRelational model with native time series support Column based storage and time partitioned...
» more
Competitive advantagesReal-time data ingestion and istant SQL queries for time series High performance...
» more
Typical application scenariosApplication metrics Financial market data and algo trading DevOps monitoring Real-time...
» more
Licensing and pricing modelsApache 2.0.
» more

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

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

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Recent citations in the news

Active Data Warehousing Market 2020-2026 Top Manufacturers: Netezza, Kognitio, Sybase, Oracle, Kognitio, Microsoft, Cloudera
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