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DBMS > EsgynDB vs. JaguarDB

System Properties Comparison EsgynDB vs. JaguarDB

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonJaguarDB  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionPerformant, highly scalable DBMS for AI and IoT applications
Primary database modelRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#263  Overall
#121  Relational DBMS
Score0.00
Rank#336  Overall
#59  Key-value stores
Websiteesgyn.comwww.datajaguar.com
Technical documentationesgyn.com/­developerswww.datajaguar.com/­support.php
DeveloperEsgynDataJaguar, Inc.
Initial release20152015
Current release2.9.4 September 2018
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0
Cloud-based only infoOnly available as a cloud servicenono
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 systemsLinuxLinux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggers
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresJava Stored Proceduresno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication between multi datacentersMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardrights management via user accounts
More information provided by the system vendor
EsgynDBJaguarDB
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
EsgynDBJaguarDB
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

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

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

Esgyn Corporation and Ampool Partner to Bring In-Memory Optimized Operational, Transactional and Real-Time Analytics to Hadoop.
18 May 2017, PR Newswire

provided by Google News




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