DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Lovefield vs. PlanetScale vs. Realm vs. TerarkDB

System Properties Comparison Lovefield vs. PlanetScale vs. Realm vs. TerarkDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonPlanetScale  Xexclude from comparisonRealm  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionEmbeddable relational database for web apps written in pure JavaScriptScalable, distributed, serverless MySQL database platform built on top of VitessA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSRelational DBMSDocument storeKey-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score1.49
Rank#155  Overall
#72  Relational DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitegoogle.github.io/­lovefieldplanetscale.comrealm.iogithub.com/­bytedance/­terarkdb
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdplanetscale.com/­docsrealm.io/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperGooglePlanetScaleRealm, acquired by MongoDB in May 2019ByteDance, originally Terark
Initial release2014202020142016
Current release2.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Sourcecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptGoC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariDocker
Linux
macOS
Android
Backend: server-less
iOS
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesyesyesyesno
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternyes infowith proprietary extensionsnono
APIs and other access methodsADO.NET
JDBC
MySQL protocol
ODBC
C++ API
Java API
Supported programming languagesJavaScriptAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
Java infowith Android only
Objective-C
React Native
Swift
C++
Java
Server-side scripts infoStored proceduresnoyes infoproprietary syntaxno inforuns within the applications so server-side scripts are unnecessaryno
TriggersUsing read-only observersyesyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency across shards
Immediate Consistency within a shard
Immediate Consistency
Foreign keys infoReferential integrityyesyes infonot for MyISAM storage enginenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at shard levelACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyes
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 infoIn-Memory realmyes
User concepts infoAccess controlnoUsers with fine-grained authorization concept infono user groups or rolesyesno

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
LovefieldPlanetScaleRealmTerarkDB
DB-Engines blog posts

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

show all

Recent citations in the news

PlanetScale ends free tier bid, sheds staff in profitability bid
11 March 2024, The Register

PlanetScale Ranked Number 188 Fastest-Growing Company in North America on the 2023 Deloitte Technology Fast ...
8 November 2023, businesswire.com

PlanetScale forks MySQL to add vector support
3 October 2023, TechCrunch

PlanetScale Named to Fortune 2023 Best Small Workplaces
31 August 2023, businesswire.com

How to Migrate to PlanetScale's Serverless Database
14 October 2021, The New Stack

provided by Google News

MongoDB aims to unify developer experience with launch of MongoDB Cloud
9 June 2020, diginomica

MongoDB Cloud Gives Developers An Escape From Data Silos With First-Ever Unified Cloud-To-Mobile Experience
10 June 2020, AiThority

Is Swift the Future of Server-side Development?
12 September 2017, Solutions Review

Java Synthetic Methods — What are these? | by Vaibhav Singh
27 February 2021, DataDrivenInvestor

Kotlin Programming Language Will Surpass Java On Android Next Year
15 October 2017, Fossbytes

provided by Google News

A Chinese company is making the cloud 200x faster · TechNode
3 July 2017, TechNode

provided by Google News



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here