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DBMS > JaguarDB vs. Netezza vs. Riak TS vs. Snowflake

System Properties Comparison JaguarDB vs. Netezza vs. Riak TS vs. Snowflake

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Editorial information provided by DB-Engines
NameJaguarDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRiak TS  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionPerformant, highly scalable DBMS for AI and IoT applicationsData warehouse and analytics appliance part of IBM PureSystemsRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVCloud-based data warehousing service for structured and semi-structured data
Primary database modelKey-value storeRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#339  Overall
#59  Key-value stores
Score17.82
Rank#33  Overall
#20  Relational DBMS
Score0.27
Rank#250  Overall
#17  Time Series DBMS
Score2.39
Rank#100  Overall
#49  Relational DBMS
Websitewww.datajaguar.comwww.ibm.com/­analytics/­netezzariak.com/­products/­riak-tswww.snowflake.com
Technical documentationwww.datajaguar.com/­support.phpdocs.snowflake.net/­manuals/­index.html
DeveloperDataJaguar, Inc.IBMBasho TechnologiesSnowflake Computing Inc.
Initial release2015200020152014
Current release2.9.4 September 2018
License infoCommercial or Open SourceOpen Source infoGPL V3.0commercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ infothe server part. Clients available in other languagesErlang
Server operating systemsLinuxLinux infoincluded in applianceLinux
OS X
hosted
Data schemeyesyesschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesnoyes
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.nonoyes
Secondary indexesyesyesrestricted
SQL infoSupport of SQLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyesnoyes
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
OLE DB
HTTP API
Native Erlang Interface
CLI Client
JDBC
ODBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesJavaScript and Erlanguser defined functions
Triggersnonoyes infopre-commit hooks and post-commit hooksno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationMaster-slave replicationselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infolinks between datasets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
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.nono
User concepts infoAccess controlrights management via user accountsUsers with fine-grained authorization conceptnoUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
JaguarDBNetezza infoAlso called PureData System for Analytics by IBMRiak TSSnowflake
Specific characteristicsSQL support, group by, order by, join
» more
Competitive advantagesExtremely easy to scale-out (in seconds) 100,000 times faster
» more
Typical application scenariosIoT data, time series data, AI data. Any type of numerical data.
» more
Key customersQuantea, 2PiDay, Synqy, SinoLogistics, IIVI
» more
Market metricsAdvertising awareness, installed base, brand image, market share
» more
Licensing and pricing modelsFree-trial license, per-node license, and subscription license.
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

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More resources
JaguarDBNetezza infoAlso called PureData System for Analytics by IBMRiak TSSnowflake
Recent citations in the news

Octopai Announces Support of Tabular on Azure Analysis Services, Netezza and Vertica
9 March 2020, MarTech Series

RIP Netezza, IBM’s FPGA-powered data warehousing dream
3 July 2019, The Register

Analytics Moves To The Cloud, And IBM i Data Goes With It
11 March 2020, IT Jungle

Snowflake CEO Talks Cloud Amid Coronavirus
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Riak TS is designed to maximize uptime
29 September 2016, Opensource.com

Basho open-sources its Riak TS database for the Internet Of Things
5 May 2016, TechCrunch

Is Riak A Good NoSQL Database Option?
1 July 2019, Analytics India Magazine

Ingesting MQTT Traffic into Riak TS via RabbitMQ and StreamSets
5 September 2016, DZone News

End of the road for Basho: Court puts biz into receivership
31 July 2017, The Register

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Snowflake CEO Talks Cloud Amid Coronavirus
3 April 2020, Investor's Business Daily

DBSync Cloud Replication Adds Support for New Cloud Data Warehouse System
18 March 2020, PR Web

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10 March 2020, Dark Reading

How data warehouses have become the new data lakes for business
2 April 2020, IT Brief Australia

IDERA Database Tools Expand Support for Cloud-Hosted Databases
10 March 2020, Yahoo Finance

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