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DBMS > JaguarDB vs. Microsoft Azure SQL Data Warehouse vs. Netezza vs. Snowflake

System Properties Comparison JaguarDB vs. Microsoft Azure SQL Data Warehouse vs. Netezza vs. Snowflake

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Editorial information provided by DB-Engines
NameJaguarDB  Xexclude from comparisonMicrosoft Azure SQL Data Warehouse  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionPerformant, highly scalable DBMS for AI and IoT applicationsElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerData warehouse and analytics appliance part of IBM PureSystemsCloud-based data warehousing service for structured and semi-structured data
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#341  Overall
#61  Key-value stores
Score8.86
Rank#44  Overall
#27  Relational DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Score2.59
Rank#107  Overall
#53  Relational DBMS
Websitewww.datajaguar.comazure.microsoft.com/­services/­sql-data-warehousewww.ibm.com/­analytics/­netezzawww.snowflake.com
Technical documentationwww.datajaguar.com/­support.phpdocs.microsoft.com/­azure/­sql-data-warehousedocs.snowflake.net/­manuals/­index.html
DeveloperDataJaguar, Inc.MicrosoftIBMSnowflake Computing Inc.
Initial release2015201620002014
Current release2.9.4 September 2018
License infoCommercial or Open SourceOpen Source infoGPL V3.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
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 languagesC++
Server operating systemsLinuxhostedLinux infoincluded in appliancehosted
Data schemeyesyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
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.nonoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyesyesyes
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
JDBC
ODBC
OLE DB
CLI Client
JDBC
ODBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
Java
PHP
C
C++
Fortran
Java
Lua
Perl
Python
R
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoTransact SQLyesuser defined functions
Triggersnononono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
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 accountsyesUsers with fine-grained authorization conceptUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
JaguarDBMicrosoft Azure SQL Data WarehouseNetezza infoAlso called PureData System for Analytics by IBMSnowflake
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 partiesGeneral SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
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CData: Connect to Big Data & NoSQL through standard Drivers.
» more

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More resources
JaguarDBMicrosoft Azure SQL Data WarehouseNetezza infoAlso called PureData System for Analytics by IBMSnowflake
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

Azure SQL Data Warehouse, the hub for a trusted and performance optimized cloud data warehouse
1 November 2017,  Arnaud Comet, Microsoft (sponsor) 

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Recent citations in the news

Azure Synapse Analytics: A progress report
24 July 2020, ZDNet

To Centralize or Not to Centralize Your Data--That Is the Question
14 July 2020, Datanami

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8 July 2020, PRNewswire

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28 May 2020, idk.dev

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