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DBMS > Graph Engine vs. Kdb vs. Netezza vs. Newts vs. Quasardb

System Properties Comparison Graph Engine vs. Kdb vs. Netezza vs. Newts vs. Quasardb

Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonKdb  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonNewts  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineHigh performance Time Series DBMSData warehouse and analytics appliance part of IBM PureSystemsTime Series DBMS based on CassandraDistributed, high-performance timeseries database
Primary database modelGraph DBMS
Key-value store
Time Series DBMS
Vector DBMS
Relational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
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
Websitewww.graphengine.iokx.comwww.ibm.com/­products/­netezzaopennms.github.io/­newtsquasar.ai
Technical documentationwww.graphengine.io/­docs/­manualcode.kx.comgithub.com/­OpenNMS/­newts/­wikidoc.quasar.ai/­master
DeveloperMicrosoftKx Systems, a division of First Derivatives plcIBMOpenNMS Groupquasardb
Initial release20102000 infokdb was released 2000, kdb+ in 2003200020142009
Current release3.6, May 20183.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercial infofree 32-bit versioncommercialOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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 language.NET and CqJavaC++
Server operating systems.NETLinux
OS X
Solaris
Windows
Linux infoincluded in applianceLinux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infointeger and binary
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.noyesnono
Secondary indexesyes infotable attribute 'grouped'yesnoyes infowith tags
SQL infoSupport of SQLnoSQL-like query language (q)yesnoSQL-like query language
APIs and other access methodsRESTful HTTP APIHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
OLE DB
HTTP REST
Java API
HTTP API
Supported programming languagesC#
C++
F#
Visual Basic
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
Java.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyesuser defined functionsyesnono
Triggersnoyes infowith viewsnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioningShardingSharding infobased on CassandraSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationselectable replication factor infobased on CassandraSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingyesnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes infoTransient mode
User concepts infoAccess controlrights management via user accountsUsers with fine-grained authorization conceptnoCryptographically strong user authentication and audit trail
More information provided by the system vendor
Graph Engine infoformer name: TrinityKdbNetezza infoAlso called PureData System for Analytics by IBMNewtsQuasardb
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
Graph Engine infoformer name: TrinityKdbNetezza infoAlso called PureData System for Analytics by IBMNewtsQuasardb
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