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DBMS > Netezza vs. PlanetScale vs. QuestDB vs. Sphinx vs. SQream DB

System Properties Comparison Netezza vs. PlanetScale vs. QuestDB vs. Sphinx vs. SQream DB

Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPlanetScale  Xexclude from comparisonQuestDB  Xexclude from comparisonSphinx  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsScalable, distributed, serverless MySQL database platform built on top of VitessA high performance open source SQL database for time series dataOpen 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 DBMSRelational DBMSTime Series DBMSSearch engineRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitewww.ibm.com/­products/­netezzaplanetscale.comquestdb.iosphinxsearch.comsqream.com
Technical documentationplanetscale.com/­docsquestdb.io/­docssphinxsearch.com/­docsdocs.sqream.com
DeveloperIBMPlanetScaleQuestDB Technology IncSphinx Technologies Inc.SQream Technologies
Initial release20002020201420012017
Current release3.5.1, February 20232022.1.6, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava (Zero-GC), C++, RustC++C++, CUDA, Haskell, Java, Scala
Server operating systemsLinux infoincluded in applianceDocker
Linux
macOS
Linux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyesyesyes infoschema-free via InfluxDB Line Protocolyesyes
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.no
Secondary indexesyesyesnoyes infofull-text index on all search fieldsno
SQL infoSupport of SQLyesyes infowith proprietary extensionsSQL with time-series extensionsSQL-like query language (SphinxQL)yes
APIs and other access methodsJDBC
ODBC
OLE DB
ADO.NET
JDBC
MySQL protocol
ODBC
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Proprietary protocol.Net
JDBC
ODBC
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
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 proceduresyesyes infoproprietary syntaxnonouser defined functions in Python
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning (by timestamps)Sharding 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 replicationMulti-source replication
Source-replica replication
Source-replica replication with eventual consistencynonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency across shards
Immediate Consistency within a shard
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage enginenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at shard levelACID for single-table writesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyesyes
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.yesyes infothrough memory mapped files
User concepts infoAccess controlUsers with fine-grained authorization conceptUsers with fine-grained authorization concept infono user groups or rolesno
More information provided by the system vendor
Netezza infoAlso called PureData System for Analytics by IBMPlanetScaleQuestDBSphinxSQream 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
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