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DBMS > Lovefield vs. PlanetScale vs. Riak TS vs. SQLite

System Properties Comparison Lovefield vs. PlanetScale vs. Riak TS vs. SQLite

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Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonPlanetScale  Xexclude from comparisonRiak TS  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionEmbeddable relational database for web apps written in pure JavaScriptScalable, distributed, serverless MySQL database platform built on top of VitessRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVWidely used embeddable, in-process RDBMS
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#306  Overall
#138  Relational DBMS
Score1.09
Rank#178  Overall
#82  Relational DBMS
Score0.17
Rank#318  Overall
#27  Time Series DBMS
Score103.35
Rank#10  Overall
#7  Relational DBMS
Websitegoogle.github.io/­lovefieldplanetscale.comwww.sqlite.org
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdplanetscale.com/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latestwww.sqlite.org/­docs.html
DeveloperGooglePlanetScaleOpen Source, formerly Basho TechnologiesDwayne Richard Hipp
Initial release2014202020152000
Current release2.1.12, February 20173.0.0, September 20223.46.1  (13 August 2024), August 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen SourceOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptGoErlangC
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariDocker
Linux
macOS
Linux
OS X
server-less
Data schemeyesyesschema-freeyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesnoyes infonot rigid because of 'dynamic typing' concept.
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 indexesyesyesrestrictedyes
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternyes infowith proprietary extensionsyes, limitedyes infoSQL-92 is not fully supported
APIs and other access methodsADO.NET
JDBC
MySQL protocol
ODBC
HTTP API
Native Erlang Interface
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesJavaScriptAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresnoyes infoproprietary syntaxErlangno
TriggersUsing read-only observersyesyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency across shards
Immediate Consistency within a shard
Eventual Consistency
Foreign keys infoReferential integrityyesyes infonot for MyISAM storage engineno infolinks between datasets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at shard levelnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyes infovia file-system locks
Durability infoSupport for making data persistentyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDByesyes
User concepts infoAccess controlnoUsers with fine-grained authorization concept infono user groups or rolesnono

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More resources
LovefieldPlanetScaleRiak TSSQLite
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