DB-EnginesextremeDB - Data management wherever you need itEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Lovefield vs. Realm vs. RocksDB vs. Vitess

System Properties Comparison Lovefield vs. Realm vs. RocksDB vs. Vitess

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameLovefield  Xexclude from comparisonRealm  Xexclude from comparisonRocksDB  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionEmbeddable relational database for web apps written in pure JavaScriptA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSDocument storeKey-value storeRelational 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
Score7.18
Rank#52  Overall
#8  Document stores
Score2.84
Rank#97  Overall
#16  Key-value stores
Score0.86
Rank#202  Overall
#95  Relational DBMS
Websitegoogle.github.io/­lovefieldrealm.iorocksdb.orgvitess.io
Technical documentationgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdrealm.io/­docsgithub.com/­facebook/­rocksdb/­wikivitess.io/­docs
DeveloperGoogleRealm, acquired by MongoDB in May 2019Facebook, Inc.The Linux Foundation, PlanetScale
Initial release2014201420132013
Current release2.1.12, February 20179.4.0, June 202415.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open SourceOpen Source infoBSDOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptC++Go
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariAndroid
Backend: server-less
iOS
Windows
LinuxDocker
Linux
macOS
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesyesyesnoyes
SQL infoSupport of SQLSQL-like query language infovia JavaScript builder patternnonoyes infowith proprietary extensions
APIs and other access methodsC++ API
Java API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesJavaScript.Net
Java infowith Android only
Objective-C
React Native
Swift
C
C++
Go
Java
Perl
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnono inforuns within the applications so server-side scripts are unnecessarynoyes infoproprietary syntax
TriggersUsing read-only observersyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesnonenonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integrityyesnonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
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 MemoryDByes infoIn-Memory realmyesyes
User concepts infoAccess controlnoyesnoUsers with fine-grained authorization concept infono user groups or roles

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
LovefieldRealmRocksDBVitess
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

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

Java Synthetic Methods — What are these ?
27 February 2021, DataDrivenInvestor

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

provided by Google News

Pliops Unveils Accelerated Key-Value Store That Boosts RocksDB Performance by 20x at OCP Global Summit
18 October 2022, GlobeNewswire

AMD EPYC vs. Intel Xeon Cascadelake With Facebook's RocksDB Database
17 October 2019, Phoronix

Meta’s Velox Means Database Performance Is Not Subject To Interpretation
31 August 2022, The Next Platform

The Journey to a Million Ops / Sec / Node in Venice
16 March 2024, InfoQ.com

Facebook’s MyRocks Truly Rocks!
21 September 2020, Open Source For You

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

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

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

provided by Google News



Share this page

Featured Products

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

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Milvus logo

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

Neo4j logo

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

Present your product here