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DBMS > Netezza vs. QuestDB vs. SAP IQ vs. Sphinx vs. SQream DB

System Properties Comparison Netezza vs. QuestDB vs. SAP IQ vs. Sphinx vs. SQream DB

Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonQuestDB  Xexclude from comparisonSAP IQ infoformer name: Sybase IQ  Xexclude from comparisonSphinx  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsA high performance open source SQL database for time series dataColumnar RDBMS optimized for Big Data analyticsOpen 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 DBMSTime Series DBMSRelational DBMS infocolumn-orientedSearch engineRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score2.64
Rank#108  Overall
#52  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitewww.ibm.com/­products/­netezzaquestdb.iowww.sap.com/­products/­technology-platform/­sybase-iq-big-data-management.htmlsphinxsearch.comsqream.com
Technical documentationquestdb.io/­docshelp.sap.com/­docs/­SAP_IQsphinxsearch.com/­docsdocs.sqream.com
DeveloperIBMQuestDB Technology IncSAP, formerly SybaseSphinx Technologies Inc.SQream Technologies
Initial release20002014199420012017
Current release16.1 SPS04, April 20193.5.1, February 20232022.1.6, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava (Zero-GC), C++, RustC++C++, CUDA, Haskell, Java, Scala
Server operating systemsLinux infoincluded in applianceLinux
macOS
Windows
AIX
HP-UX
Linux
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyesyes infoschema-free via InfluxDB Line Protocolyesyesyes
Typing infopredefined data types such as float or dateyesyesyesnoyes, ANSI Standard SQL Types
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.nono
Secondary indexesyesnoyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLyesSQL with time-series extensionsyesSQL-like query language (SphinxQL)yes
APIs and other access methodsJDBC
ODBC
OLE DB
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
ADO.NET
JDBC
ODBC
RESTful HTTP API
Proprietary protocol.Net
JDBC
ODBC
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C
C#
C++
Java
Perl
PHP
Python
Ruby
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 proceduresyesnoyesnouser defined functions in Python
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by timestamps)shared disk or shared nothing architectures with SAP IQ MultiplexerSharding 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 replicationSource-replica replication with eventual consistencySAP/Sybase Replication Servernonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID for single-table writesACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infothrough memory mapped filesno
User concepts infoAccess controlUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardno
More information provided by the system vendor
Netezza infoAlso called PureData System for Analytics by IBMQuestDBSAP IQ infoformer name: Sybase IQSphinxSQream DB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
Netezza infoAlso called PureData System for Analytics by IBMQuestDBSAP IQ infoformer name: Sybase IQSphinxSQream DB
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