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DBMS > PlanetScale vs. RDFox vs. SingleStore vs. SQL.JS

System Properties Comparison PlanetScale vs. RDFox vs. SingleStore vs. SQL.JS

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Editorial information provided by DB-Engines
NamePlanetScale  Xexclude from comparisonRDFox  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionScalable, distributed, serverless MySQL database platform built on top of VitessHigh performance knowledge graph and semantic reasoning engineMySQL 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 typePort of SQLite to JavaScript
Primary database modelRelational DBMSGraph DBMS
RDF store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score5.38
Rank#62  Overall
#35  Relational DBMS
Score0.63
Rank#241  Overall
#112  Relational DBMS
Websiteplanetscale.comwww.oxfordsemantic.techwww.singlestore.comsql.js.org
Technical documentationplanetscale.com/­docsdocs.oxfordsemantic.techdocs.singlestore.comsql.js.org/­documentation/­index.html
DeveloperPlanetScaleOxford Semantic TechnologiesSingleStore Inc.Alon Zakai infoenhancements implemented by others
Initial release2020201720132012
Current release6.0, Septermber 20228.5, January 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree developer edition availableOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageGoC++C++, GoJavaScript
Server operating systemsDocker
Linux
macOS
Linux
macOS
Windows
Linux info64 bit version requiredserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyes infoRDF schemasyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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
Secondary indexesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsnoyes infobut no triggers and foreign keysyes infoSQL-92 is not fully supported
APIs and other access methodsADO.NET
JDBC
MySQL protocol
ODBC
RESTful HTTP API
SPARQL 1.1
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
JavaScript API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
Java
Bash
C
C#
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresyes infoproprietary syntaxyesno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infohash partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
replication via a shared file systemSource-replica replication infostores two copies of each physical data partition on two separate nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistencynone
Foreign keys infoReferential integrityyes infonot for MyISAM storage enginenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID at shard levelACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infotable locks or row locks depending on storage engineyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.no infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept infono user groups or rolesRoles, resources, and access typesFine grained access control via users, groups and rolesno
More information provided by the system vendor
PlanetScaleRDFoxSingleStore infoformer name was MemSQLSQL.JS
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
PlanetScaleRDFoxSingleStore infoformer name was MemSQLSQL.JS
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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New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

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