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DBMS > Netezza vs. Newts vs. Quasardb vs. QuestDB vs. VictoriaMetrics

System Properties Comparison Netezza vs. Newts vs. Quasardb vs. QuestDB vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonNewts  Xexclude from comparisonQuasardb  Xexclude from comparisonQuestDB  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsTime Series DBMS based on CassandraDistributed, high-performance timeseries databaseA high performance open source SQL database for time series dataA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
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
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitewww.ibm.com/­products/­netezzaopennms.github.io/­newtsquasar.aiquestdb.iovictoriametrics.com
Technical documentationgithub.com/­OpenNMS/­newts/­wikidoc.quasar.ai/­masterquestdb.io/­docsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperIBMOpenNMS GroupquasardbQuestDB Technology IncVictoriaMetrics
Initial release20002014200920142018
Current release3.14.1, January 2024v1.91, May 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache 2.0Open Source infoApache Version 2.0
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 languageJavaC++Java (Zero-GC), C++, RustGo
Server operating systemsLinux infoincluded in applianceLinux
OS X
Windows
BSD
Linux
OS X
Windows
Linux
macOS
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesschema-freeschema-freeyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyes
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.nononono
Secondary indexesyesnoyes infowith tagsno
SQL infoSupport of SQLyesnoSQL-like query languageSQL with time-series extensionsno
APIs and other access methodsJDBC
ODBC
OLE DB
HTTP REST
Java API
HTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresyesnononono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraSharding infoconsistent hashinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on CassandraSource-replica replication with selectable replication factorSource-replica replication with eventual consistencySynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeyes infothrough memory mapped filesno
User concepts infoAccess controlUsers with fine-grained authorization conceptnoCryptographically strong user authentication and audit trail
More information provided by the system vendor
Netezza infoAlso called PureData System for Analytics by IBMNewtsQuasardbQuestDBVictoriaMetrics
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Netezza infoAlso called PureData System for Analytics by IBMNewtsQuasardbQuestDBVictoriaMetrics
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