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DBMS > Brytlyt vs. Kdb vs. Kinetica vs. Netezza

System Properties Comparison Brytlyt vs. Kdb vs. Kinetica vs. Netezza

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonKdb  Xexclude from comparisonKinetica  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLHigh performance Time Series DBMSFully vectorized database across both GPUs and CPUsData warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMSTime Series DBMS
Vector DBMS
Relational DBMSRelational DBMS
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#292  Overall
#132  Relational DBMS
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Websitebrytlyt.iokx.comwww.kinetica.comwww.ibm.com/­products/­netezza
Technical documentationdocs.brytlyt.iocode.kx.comdocs.kinetica.com
DeveloperBrytlytKx Systems, a division of First Derivatives plcKineticaIBM
Initial release20162000 infokdb was released 2000, kdb+ in 200320122000
Current release5.0, August 20233.6, May 20187.1, August 2021
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit versioncommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAqC, C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
LinuxLinux infoincluded in appliance
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yes infospecific XML-type available, but no XML query functionality.yesno
Secondary indexesyesyes infotable attribute 'grouped'yesyes
SQL infoSupport of SQLyesSQL-like query language (q)SQL-like DML and DDL statementsyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
OLE DB
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLuser defined functionsuser defined functionsyes
Triggersyesyes infowith viewsyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAM
User concepts infoAccess controlfine grained access rights according to SQL-standardrights management via user accountsAccess rights for users and roles on table levelUsers with fine-grained authorization concept
More information provided by the system vendor
BrytlytKdbKineticaNetezza infoAlso called PureData System for Analytics by IBM
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
BrytlytKdbKineticaNetezza infoAlso called PureData System for Analytics by IBM
Recent citations in the news

Opensignal Announces Acquisition of Brytlyt GPU-based Data Analytics & Visualization Technology
5 June 2024, PR Web

Brytlyt releases version 5.0, introducing a more intuitive, intelligent and flexible analytics platform
1 August 2023, PR Newswire

Bringing GPUs To Bear On Bog Standard Relational Databases
26 February 2018, The Next Platform

London’s Brytlyt raises €4.4 million for its data analytics and visualisation technology
22 December 2021, EU-Startups

Brytlyt Unleashes Serverless GPU-Acceleration for Analytics
15 September 2021, PR Newswire

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Turbocharging the Engine: KX Unleashes AI-First Transformation with kdb+
28 February 2024, Business Wire

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18 May 2023, AWS Blog

McLaren Applied and KX partner to enhance ATLAS software analytics capabilities
9 August 2023, Professional Motorsport World

Stifel Turns to KX to Strengthen Market Intelligence and Trade Execution Impact
13 December 2022, PR Newswire

KX Brings the Power and Performance of kdb+ to Python Developers with PyKX
7 June 2023, Datanami

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Kinetica Elevates RAG with Fast Access to Real-Time Data
26 March 2024, Datanami

Kinetica Delivers Real-Time Vector Similarity Search
21 March 2024, insideainews.com

Kinetica ramps up RAG for generative AI, empowering enterprises with real-time operational data
18 March 2024, SiliconANGLE News

Kinetica: AI is a ‘killer app’ for data analytics
2 May 2023, Blocks & Files

Kinetica Taps Dell for Hardware
12 June 2018, Finovate

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Unify and share data across Netezza and watsonx.data for new generative AI applications
21 June 2024, IBM

Price Chopper Chooses IBM Netezza to Analyze Its Business Data
8 September 2024, Supermarket News

How to migrate a large data warehouse from IBM Netezza to Amazon Redshift with no downtime
21 August 2019, AWS Blog

AWS and IBM Netezza come out in support of Iceberg in table format face-off
1 August 2023, The Register

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11 November 2010, PR Newswire

provided by Google News



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