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DBMS > EsgynDB vs. EXASOL vs. Kinetica vs. WakandaDB

System Properties Comparison EsgynDB vs. EXASOL vs. Kinetica vs. WakandaDB

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonEXASOL  Xexclude from comparisonKinetica  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Fully vectorized database across both GPUs and CPUsWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSRelational DBMSObject oriented DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score1.99
Rank#124  Overall
#58  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.esgyn.cnwww.exasol.comwww.kinetica.comwakanda.github.io
Technical documentationwww.exasol.com/­resourcesdocs.kinetica.comwakanda.github.io/­doc
DeveloperEsgynExasolKineticaWakanda SAS
Initial release2015200020122012
Current release7.1, August 20212.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaC, C++C++, JavaScript
Server operating systemsLinuxLinuxLinux
OS X
Windows
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.nononono
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyesSQL-like DML and DDL statementsno
APIs and other access methodsADO.NET
JDBC
ODBC
.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetJava
Lua
Python
R
C++
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined functionsuser defined functionsyes
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyesyes
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.noyesyes infoGPU vRAM or System RAMno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardAccess rights for users and roles on table levelyes

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More resources
EsgynDBEXASOLKineticaWakandaDB
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