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DBMS > Netezza vs. Newts vs. Prometheus vs. Quasardb vs. Sphinx

System Properties Comparison Netezza vs. Newts vs. Prometheus vs. Quasardb vs. Sphinx

Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonNewts  Xexclude from comparisonPrometheus  Xexclude from comparisonQuasardb  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsTime Series DBMS based on CassandraOpen-source Time Series DBMS and monitoring systemDistributed, high-performance timeseries databaseOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSTime Series DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.ibm.com/­products/­netezzaopennms.github.io/­newtsprometheus.ioquasar.aisphinxsearch.com
Technical documentationgithub.com/­OpenNMS/­newts/­wikiprometheus.io/­docsdoc.quasar.ai/­mastersphinxsearch.com/­docs
DeveloperIBMOpenNMS GroupquasardbSphinx Technologies Inc.
Initial release20002014201520092001
Current release3.14.1, January 20243.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoGPL version 2, commercial licence available
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 languageJavaGoC++C++
Server operating systemsLinux infoincluded in applianceLinux
OS X
Windows
Linux
Windows
BSD
Linux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes infointeger and binaryno
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 infoImport of XML data possibleno
Secondary indexesyesnonoyes infowith tagsyes infofull-text index on all search fields
SQL infoSupport of SQLyesnonoSQL-like query languageSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
OLE DB
HTTP REST
Java API
RESTful HTTP/JSON APIHTTP APIProprietary protocol
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
Java.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesnononono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardingSharding infoconsistent hashingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on Cassandrayes infoby FederationSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
noneImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes 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.nonoyes infoTransient mode
User concepts infoAccess controlUsers with fine-grained authorization conceptnonoCryptographically strong user authentication and audit trailno

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More resources
Netezza infoAlso called PureData System for Analytics by IBMNewtsPrometheusQuasardbSphinx
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