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DBMS > Cachelot.io vs. SingleStore vs. SpatiaLite vs. Vitess vs. Yanza

System Properties Comparison Cachelot.io vs. SingleStore vs. SpatiaLite vs. Vitess vs. Yanza

Editorial information provided by DB-Engines
NameCachelot.io  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSpatiaLite  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 systemMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeSpatial extension of SQLiteScalable, distributed, cloud-native DBMS, extending MySQLTime Series DBMS for IoT Applications
Primary database modelKey-value storeRelational DBMSSpatial DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
Relational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#385  Overall
#61  Key-value stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Score1.56
Rank#142  Overall
#3  Spatial DBMS
Score0.86
Rank#202  Overall
#95  Relational DBMS
Websitecachelot.iowww.singlestore.comwww.gaia-gis.it/­fossil/­libspatialite/­indexvitess.ioyanza.com
Technical documentationdocs.singlestore.comwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlvitess.io/­docs
DeveloperSingleStore Inc.Alessandro FurieriThe Linux Foundation, PlanetScaleYanza
Initial release20152013200820132015
Current release8.5, January 20245.0.0, August 202015.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoSimplified BSD Licensecommercial infofree developer edition availableOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open 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++, GoC++Go
Server operating systemsFreeBSD
Linux
OS X
Linux info64 bit version requiredserver-lessDocker
Linux
macOS
Windows
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesno
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 indexesnoyesyesyesno
SQL infoSupport of SQLnoyes infobut no triggers and foreign keysyesyes infowith proprietary extensionsno
APIs and other access methodsMemcached protocolCluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
HTTP API
Supported programming languages.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
Bash
C
C#
Java
JavaScript (Node.js)
Python
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 proceduresnoyesnoyes infoproprietary syntaxno
Triggersnonoyesyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infohash partitioningnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication infostores two copies of each physical data partition on two separate nodesnoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan define user-defined aggregate functions for map-reduce-style calculationsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integritynonoyesyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID at shard levelno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes infotable locks or row locks depending on storage engineyes
Durability infoSupport for making data persistentnoyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlnoFine grained access control via users, groups and rolesnoUsers with fine-grained authorization concept infono user groups or rolesno

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More resources
Cachelot.ioSingleStore infoformer name was MemSQLSpatiaLiteVitessYanza
DB-Engines blog posts

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17 October 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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Spatial database management systems
6 April 2021, Matthias Gelbmann

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Recent citations in the news

SingleStore Partners With Snowflake to Help Users Build Faster, More Efficient Real Time AI Applications
19 September 2024, businesswire.com

SingleStore CEO sees little future for purpose-built vector databases
24 January 2024, VentureBeat

Achieve near real-time analytics on Amazon DynamoDB with SingleStore
16 September 2024, AWS Blog

Building a Modern Database: Nikita Shamgunov on Postgres and Beyond
18 April 2024, Madrona Venture Group

SingleStore: We do vectors and you don’t need knowledge graphs
22 July 2024, Blocks & Files

provided by Google News

Deepthi Sigireddi on Distributed Database Architecture in the Cloud Native Era
20 May 2024, InfoQ.com

They scaled YouTube — now they’ll shard everyone with PlanetScale
13 December 2018, TechCrunch

PlanetScale offers undo button to reverse schema migration without losing data
24 March 2022, The Register

PlanetScale Unveils Distributed MySQL Database Service Based on Vitess
18 May 2021, Datanami

CNCF’s Vitess Scales MySQL with the Help of Kubernetes
9 February 2018, The New Stack

provided by Google News



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