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DBMS > EsgynDB vs. Memcached vs. Rockset vs. Spark SQL vs. Trafodion

System Properties Comparison EsgynDB vs. Memcached vs. Rockset vs. Spark SQL vs. Trafodion

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonMemcached  Xexclude from comparisonRockset  Xexclude from comparisonSpark SQL  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionIn-memory key-value store, originally intended for cachingA scalable, reliable search and analytics service in the cloud, built on RocksDBSpark SQL is a component on top of 'Spark Core' for structured data processingTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSKey-value storeDocument storeRelational DBMSRelational DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Score0.82
Rank#212  Overall
#36  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.esgyn.cnwww.memcached.orgrockset.comspark.apache.org/­sqltrafodion.apache.org
Technical documentationgithub.com/­memcached/­memcached/­wikidocs.rockset.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmltrafodion.apache.org/­documentation.html
DeveloperEsgynDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalRocksetApache Software FoundationApache Software Foundation, originally developed by HP
Initial release20152003201920142014
Current release1.6.27, May 20243.5.0 ( 2.13), September 20232.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoBSD licensecommercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaCC++ScalaC++, Java
Server operating systemsLinuxFreeBSD
Linux
OS X
Unix
Windows
hostedLinux
OS X
Windows
Linux
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnodynamic typingyesyes
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 infoingestion from XML files supportednono
Secondary indexesyesnoall fields are automatically indexednoyes
SQL infoSupport of SQLyesnoRead-only SQL queries, including JOINsSQL-like DML and DDL statementsyes
APIs and other access methodsADO.NET
JDBC
ODBC
Proprietary protocolHTTP RESTJDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresJava Stored ProceduresnononoJava Stored Procedures
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneAutomatic shardingyes, utilizing Spark CoreSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersnone infoRepcached, a Memcached patch, provides this functionallityyesnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousing SASL (Simple Authentication and Security Layer) protocolAccess rights for users and organizations can be defined via Rockset consolenofine grained access rights according to SQL-standard

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More resources
EsgynDBMemcachedRocksetSpark SQLTrafodion
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