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DBMS > Datastax Enterprise vs. JaguarDB vs. Netezza vs. Snowflake

System Properties Comparison Datastax Enterprise vs. JaguarDB vs. Netezza vs. Snowflake

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonJaguarDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Performant, 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 data
Primary database modelWide column storeKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.48
Rank#46  Overall
#4  Wide column stores
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.datastax.com/­products/­datastax-enterprisewww.datajaguar.comwww.ibm.com/­analytics/­netezzawww.snowflake.com
Technical documentationdocs.datastax.comwww.datajaguar.com/­support.phpdocs.snowflake.net/­manuals/­index.html
DeveloperDataStaxDataJaguar, Inc.IBMSnowflake Computing Inc.
Initial release2011201520002014
Current release6.7, December 20182.9.4 September 2018
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0commercialcommercial
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 languageJavaC++ infothe server part. Clients available in other languages
Server operating systemsLinux
OS X
LinuxLinux infoincluded in appliancehosted
Data schemeschema-freeyesyesyes 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 SQLSQL-like DML and DDL statements (CQL); Spark SQLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyesyes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
JDBC
ODBC
JDBC
ODBC
OLE DB
CLI Client
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonoyesuser defined functions
Triggersyesnonono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingMaster-master replicationMaster-slave replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoACIDACID
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.yesnono
User concepts infoAccess controlAccess rights for users can be defined per objectrights management via user accountsUsers with fine-grained authorization conceptUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
Datastax EnterpriseJaguarDBNetezza infoAlso called PureData System for Analytics by IBMSnowflake
Specific characteristics100% continuous availability, real-time, distributed, massive scale data management...
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SQL support, group by, order by, join
» more
Competitive advantagesSupporting the following application requirements: Contextual: complete data layer...
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Extremely easy to scale-out (in seconds) 100,000 times faster
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Typical application scenariosApplications that must serve contextual information and be always-on, distributed,...
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IoT data, time series data, AI data. Any type of numerical data.
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald’s, Microsoft, Safeway, Sony, UBS, and...
» more
Quantea, 2PiDay, Synqy, SinoLogistics, IIVI
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Advertising awareness, installed base, brand image, market share
» more
Licensing and pricing modelsAnnual subscription
» more
Free-trial license, per-node license, and subscription license.
» more

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More resources
Datastax EnterpriseJaguarDBNetezza infoAlso called PureData System for Analytics by IBMSnowflake
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