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DBMS > Cachelot.io vs. SWC-DB vs. Tarantool vs. Vitess vs. Yanza

System Properties Comparison Cachelot.io vs. SWC-DB vs. Tarantool vs. Vitess vs. Yanza

Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTarantool  Xexclude from comparisonVitess  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionIn-memory caching systemA high performance, scalable Wide Column DBMSIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsScalable, distributed, cloud-native DBMS, extending MySQLTime Series DBMS for IoT Applications
Primary database modelKey-value storeWide column storeDocument store
Key-value store
Relational DBMS
Relational DBMSTime Series DBMS
Secondary database modelsTime Series DBMSSpatial DBMS infowith Tarantool/GIS extensionDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#60  Key-value stores
Score0.01
Rank#376  Overall
#13  Wide column stores
Score1.72
Rank#144  Overall
#25  Document stores
#25  Key-value stores
#66  Relational DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitecachelot.iogithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.tarantool.iovitess.ioyanza.com
Technical documentationwww.tarantool.io/­en/­docvitess.io/­docs
DeveloperAlex KashirinVKThe Linux Foundation, PlanetScaleYanza
Initial release20152020200820132015
Current release0.5, April 20212.10.0, May 202215.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoSimplified BSD LicenseOpen Source infoGPL V3Open Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool EnterpriseOpen Source infoApache Version 2.0, commercial licenses availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono 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++C++C and C++Go
Server operating systemsFreeBSD
Linux
OS X
LinuxBSD
Linux
macOS
Docker
Linux
macOS
Windows
Data schemeschema-freeschema-freeFlexible data schema: relational definition for tables with ability to store json-like documents in columnsyesschema-free
Typing infopredefined data types such as float or datenostring, double, decimal, uuid, integer, blob, boolean, datetimeyesno
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 indexesnoyesyesno
SQL infoSupport of SQLnoSQL-like query languageFull-featured ANSI SQL supportyes infowith proprietary extensionsno
APIs and other access methodsMemcached protocolProprietary protocol
Thrift
Open binary protocolADO.NET
JDBC
MySQL protocol
ODBC
HTTP API
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C++C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
any language that supports HTTP calls
Server-side scripts infoStored proceduresnonoLua, C and SQL stored proceduresyes infoproprietary syntaxno
Triggersnonoyes, before/after data modification events, on replication events, client session eventsyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
Multi-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Eventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integritynoyesyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsACID at shard levelno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, cooperative multitaskingyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentnoyesyes, write ahead loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes, full featured in-memory storage engine with persistenceyes
User concepts infoAccess controlnoAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
Users with fine-grained authorization concept infono user groups or rolesno

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More resources
Cachelot.ioSWC-DB infoSuper Wide Column DatabaseTarantoolVitessYanza
DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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