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DBMS > JaguarDB vs. Netezza vs. Snowflake vs. Sqrrl

System Properties Comparison JaguarDB vs. Netezza vs. Snowflake vs. Sqrrl

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Editorial information provided by DB-Engines
NameJaguarDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSnowflake  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.
DescriptionPerformant, highly scalable DBMS for AI and IoT applicationsData warehouse and analytics appliance part of IBM PureSystemsCloud-based data warehousing service for structured and semi-structured dataAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelKey-value storeRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#339  Overall
#59  Key-value stores
Score18.36
Rank#33  Overall
#20  Relational DBMS
Score2.42
Rank#100  Overall
#49  Relational DBMS
Websitewww.datajaguar.comwww.ibm.com/­analytics/­netezzawww.snowflake.comsqrrl.com
Technical documentationwww.datajaguar.com/­support.phpdocs.snowflake.net/­manuals/­index.html
DeveloperDataJaguar, Inc.IBMSnowflake Computing Inc.Amazon infooriginally Sqrrl Data, Inc.
Initial release2015200020142012
Current release2.9.4 September 2018
License infoCommercial or Open SourceOpen Source infoGPL V3.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
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 languagesJava
Server operating systemsLinuxLinux infoincluded in appliancehostedLinux
Data schemeyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)schema-free
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.noyes
Secondary indexesyesyesyes
SQL infoSupport of SQLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyesyesno
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
OLE DB
CLI Client
JDBC
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
JavaScript (Node.js)
Python
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnoyesuser defined functionsno
Triggersnonono infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyesSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationMaster-slave replicationyesselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDAtomic updates per row, document, or graph entity
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 conceptUsers with fine-grained authorization concept, user roles and pluggable authenticationCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)
More information provided by the system vendor
JaguarDBNetezza infoAlso called PureData System for Analytics by IBMSnowflakeSqrrl
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.

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3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
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More resources
JaguarDBNetezza infoAlso called PureData System for Analytics by IBMSnowflakeSqrrl
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