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DBMS > Kinetica vs. Netezza vs. Sqrrl

System Properties Comparison Kinetica vs. Netezza vs. Sqrrl

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionGPU-accelerated database for real-time analysis of large and streaming datasetsData warehouse and analytics appliance part of IBM PureSystemsAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.75
Rank#193  Overall
#95  Relational DBMS
Score18.65
Rank#33  Overall
#20  Relational DBMS
Websitewww.kinetica.comwww.ibm.com/­analytics/­netezzasqrrl.com
Technical documentationwww.kinetica.com/­docs
DeveloperKineticaIBMAmazon infooriginally Sqrrl Data, Inc.
Initial release201220002012
Current release6.0
License infoCommercial or Open Sourcecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++Java
Server operating systemsLinuxLinux infoincluded in applianceLinux
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
OLE DB
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresuser defined functionsyesno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and roles on table levelUsers with fine-grained authorization conceptCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
KineticaNetezza infoAlso called PureData System for Analytics by IBMSqrrl
Recent citations in the news

In-Depth SWOT Analysis on GPU Database Market 2020 Booming Worldwide Kinetica, OmniSci,SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph , BlazingDB, Zilliz,Jedox, HeteroDB
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Kinetica Streaming Data Warehouse Update Designed for Petabyte-Scale Data Sets
15 September 2020, TDWI

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Snowflake Stock Risks a ‘Violent Selloff.’ Why One Analyst Is Worried.
21 September 2020, Barron's

IBM Brings Back a Netezza, Attacks Yellowbrick
29 June 2020, Datanami

Netezza’s Not Dead: It’s Just Ascended
25 June 2020, Computer Business Review

Google, HCL Expand Cloud Migration Partnership
16 September 2020, EnterpriseAI

Migrating your Netezza data warehouse to Amazon Redshift
28 May 2020, idk.dev

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User and Entity Behavior Analytics Market to Witness Exponential Growth by 2020-2027 | Leading Players – Dtex Systems, Sqrrl Data, Securonix, Varonis Systems, Exabeam, Rapid7, Bay Dynamics, Niara
18 September 2020, thedailychronicle.in

User And Entity Behavior Analytics Market Status and Forecast 2027 By Top Companies – Bottomline Technologies?Inc, Niara Inc, Varonis Systems, Sqrrl Data?Inc, Bay Dynamics, Exabeam, Rapid7, Splunk Inc., Securonix, Observe IT, Dtex Systems, Gurucul
24 August 2020, The Daily Chronicle

AWS beefs up threat detection with Sqrrl acquisition
24 January 2018, TechCrunch

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