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DBMS > Cachelot.io vs. Splice Machine vs. SWC-DB vs. Yanza

System Properties Comparison Cachelot.io vs. Splice Machine vs. SWC-DB vs. Yanza

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Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonSplice Machine  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionIn-memory caching systemOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA high performance, scalable Wide Column DBMSTime Series DBMS for IoT Applications
Primary database modelKey-value storeRelational DBMSWide column storeTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#396  Overall
#64  Key-value stores
Score0.54
Rank#255  Overall
#116  Relational DBMS
Score0.01
Rank#387  Overall
#13  Wide column stores
Websitecachelot.iosplicemachine.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
yanza.com
Technical documentationsplicemachine.com/­how-it-works
DeveloperSplice MachineAlex KashirinYanza
Initial release2015201420202015
Current release3.1, March 20210.5, April 2021
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicenseOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPL V3commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Solaris
Windows
LinuxWindows
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesno
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.nonono
Secondary indexesnoyesno
SQL infoSupport of SQLnoyesSQL-like query languageno
APIs and other access methodsMemcached protocolJDBC
Native Spark Datasource
ODBC
Proprietary protocol
Thrift
HTTP API
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C++any language that supports HTTP calls
Server-side scripts infoStored proceduresnoyes infoJavanono
Triggersnoyesnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnoneShared Nothhing Auto-Sharding, Columnar PartitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardno

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More resources
Cachelot.ioSplice MachineSWC-DB infoSuper Wide Column DatabaseYanza
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