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DBMS > EsgynDB vs. Memcached vs. Splice Machine vs. Transwarp ArgoDB

System Properties Comparison EsgynDB vs. Memcached vs. Splice Machine vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonMemcached  Xexclude from comparisonSplice Machine  Xexclude from comparisonTranswarp ArgoDB  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionIn-memory key-value store, originally intended for cachingOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkDistributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsSearch 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
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.12
Rank#348  Overall
#151  Relational DBMS
Websitewww.esgyn.cnwww.memcached.orgsplicemachine.comwww.transwarp.cn/­en/­product/­argodb
Technical documentationgithub.com/­memcached/­memcached/­wikisplicemachine.com/­how-it-worksdocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperEsgynDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalSplice MachineTranswarp
Initial release201520032014
Current release1.6.27, May 20243.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoBSD licenseOpen Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaCJava
Server operating systemsLinuxFreeBSD
Linux
OS X
Unix
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.no
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnoyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
Proprietary protocolJDBC
Native Spark Datasource
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresJava Stored Proceduresnoyes infoJava
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersnone infoRepcached, a Memcached patch, provides this functionallityMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesnoyesyes
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-standardyes infousing SASL (Simple Authentication and Security Layer) protocolAccess rights for users, groups and roles according to SQL-standard

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More resources
EsgynDBMemcachedSplice MachineTranswarp ArgoDB
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