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

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

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonEXASOL  Xexclude from comparisonJaguarDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  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.High-performance, in-memory, MPP database specifically designed for in-memory analytics.Performant, highly scalable DBMS for AI and IoT applicationsData warehouse and analytics appliance part of IBM PureSystems
Primary database modelWide column storeRelational DBMSKey-value storeRelational 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
Score2.86
Rank#90  Overall
#45  Relational DBMS
Score0.00
Rank#339  Overall
#59  Key-value stores
Score18.36
Rank#33  Overall
#20  Relational DBMS
Websitewww.datastax.com/­products/­datastax-enterprisewww.exasol.com/­en/­productswww.datajaguar.comwww.ibm.com/­analytics/­netezza
Technical documentationdocs.datastax.comwww.exasol.com/­en/­community/­resourceswww.datajaguar.com/­support.php
DeveloperDataStaxExasolDataJaguar, Inc.IBM
Initial release2011200020152000
Current release6.7, December 20182.9.4 September 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL V3.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
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 appliance
Data schemeschema-freeyesyesyes
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.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Lua
Python
R
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnouser defined functionsnoyes
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"ShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingMaster-master replicationMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoHadoop integrationnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsACIDnoACID
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.yesyesno
User concepts infoAccess controlAccess rights for users can be defined per objectAccess rights for users, groups and roles according to SQL-standardrights management via user accountsUsers with fine-grained authorization concept
More information provided by the system vendor
Datastax EnterpriseEXASOLJaguarDBNetezza infoAlso called PureData System for Analytics by IBM
Specific characteristics100% continuous availability, real-time, distributed, massive scale data management...
» more
SQL support, group by, order by, join
» more
Competitive advantagesSupporting the following application requirements: Contextual: complete data layer...
» more
Extremely easy to scale-out (in seconds) 100,000 times faster
» more
Typical application scenariosApplications that must serve contextual information and be always-on, distributed,...
» more
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 EnterpriseEXASOLJaguarDBNetezza infoAlso called PureData System for Analytics by IBM
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