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DBMS > EsgynDB vs. Kdb+

System Properties Comparison EsgynDB vs. Kdb+

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonKdb+  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionHigh performance Time Series DBMS
Primary database modelRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#274  Overall
#127  Relational DBMS
Score8.13
Rank#53  Overall
#2  Time Series DBMS
Websitewww.esgyn.cnkx.com
Technical documentationcode.kx.com
DeveloperEsgynKx Systems, a division of First Derivatives plc
Initial release20152000 infokdb was released 2000, kdb+ in 2003
Current release3.6, May 2018
License infoCommercial or Open Sourcecommercialcommercial infofree 32-bit version
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++, Javaq
Server operating systemsLinuxLinux
OS X
Solaris
Windows
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.noyes
Secondary indexesyesyes infotable attribute 'grouped'
SQL infoSupport of SQLyesSQL-like query language (q)
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined functions
Triggersnoyes infowith views
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes
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.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardrights management via user accounts
More information provided by the system vendor
EsgynDBKdb+
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
EsgynDBKdb+
DB-Engines blog posts

Time Series DBMS are the database category with the fastest increase in popularity
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Recent citations in the news

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

Esgyn Corporation and Zaloni Partner to Make Data Lakes More Powerful and Deliver Benefits Faster!
2 December 2017, Korea IT Times

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19 January 2015, insideBIGDATA

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