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DBMS > EsgynDB vs. EXASOL vs. JaguarDB vs. Netezza

System Properties Comparison EsgynDB vs. EXASOL vs. JaguarDB vs. Netezza

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonEXASOL  Xexclude from comparisonJaguarDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionHigh-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 modelRelational DBMSRelational DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.18
Rank#263  Overall
#123  Relational DBMS
Score2.75
Rank#88  Overall
#44  Relational DBMS
Score0.00
Rank#339  Overall
#59  Key-value stores
Score17.82
Rank#33  Overall
#20  Relational DBMS
Websiteesgyn.comwww.exasol.com/­en/­productswww.datajaguar.comwww.ibm.com/­analytics/­netezza
Technical documentationesgyn.com/­developerswww.exasol.com/­en/­community/­resourceswww.datajaguar.com/­support.php
DeveloperEsgynExasolDataJaguar, Inc.IBM
Initial release2015200020152000
Current release2.9.4 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 languageC++, JavaC++ infothe server part. Clients available in other languages
Server operating systemsLinuxLinuxLinux infoincluded in appliance
Data schemeyesyesyesyes
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 SQLyesyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes
APIs and other access methodsADO.NET
JDBC
ODBC
.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
JDBC
ODBC
OLE DB
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetJava
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 proceduresJava Stored Proceduresuser defined functionsnoyes
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication between multi datacentersMaster-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 ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
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.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess 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
EsgynDBEXASOLJaguarDBNetezza infoAlso called PureData System for Analytics by IBM
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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More resources
EsgynDBEXASOLJaguarDBNetezza infoAlso called PureData System for Analytics by IBM
Recent citations in the news

Esgyn Strato: Esgyn announces a Hybrid / Multi Cloud Big Data Platform Service to run and optimize your b..
30 November 2018, Markets Insider

Mphasis partners with Esgyn Corporation to provide specialized solutions to clients looking to harness big data
7 June 2019, Moneycontrol

Mphasis partners with Esgyn Corporation to optimize Open-Source frameworks and expand industry footprint
24 May 2019, PRNewswire

The Apache Software Foundation Announces Apache® Trafodion™ as a Top-Level Project
10 January 2018, GlobeNewswire

provided by Google News

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65% of Data Teams Have Experienced Employee Resistance to Adopting Data-Driven Methods
31 March 2020, StreetInsider.com

Many employees still resist data-driven culture
31 March 2020, TechTarget

Current and Future Growth of In-memory OLAP Database Market by Forecast to 2024: Leading Players – Altibase, IBM, Microsoft, Oracle, SAP SE
13 March 2020, Bandera County Courier

Revolut Achieves True Data Democratization With Exasol
31 July 2019, Business Wire

provided by Google 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

Breaking through Netezza End-of-Life
30 October 2018, Database Trends and Applications

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

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