DBMS > Google Cloud Firestore vs. Lovefield vs. RethinkDB vs. Yaacomo

System Properties Comparison Google Cloud Firestore vs. Lovefield vs. RethinkDB vs. Yaacomo

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Editorial information provided by DB-Engines
Name	Google Cloud Firestore  Xexclude from comparison	Lovefield  Xexclude from comparison	RethinkDB  Xexclude from comparison	Yaacomo  Xexclude from comparison
Description	Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.	Embeddable relational database for web apps written in pure JavaScript	DBMS for the Web with a mechanism to push updated query results to applications in realtime.	OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database model	Document store	Relational DBMS	Document store	Relational DBMS
Secondary database models			Spatial DBMS
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 9.25 Rank #52   Overall #10   Document stores	Score 0.23 Rank #286   Overall #134   Relational DBMS	Score 3.06 Rank #101   Overall #19   Document stores	Score 0.01 Rank #356   Overall #155   Relational DBMS
Website	firebase.google.com/­products/­firestore	google.github.io/­lovefield	rethinkdb.com	yaacomo.com
Technical documentation	firebase.google.com/­docs/­firestore	github.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md	rethinkdb.com/­docs
Developer	Google	Google	The Linux Foundation since July 2017	Q2WEB GmbH
Initial release	2017	2014	2009	2009
Current release		2.1.12, February 2017	2.4.1, August 2020
License Commercial or Open Source	commercial	Open Source Apache 2.0	Open Source Apache Version 2	commercial
Cloud-based only Only available as a cloud service	yes	no	no	no
DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed.
Implementation language		JavaScript	C++
Server operating systems	hosted	server-less, requires a JavaScript environment (browser, Node.js) tested with Chrome, Firefox, IE, Safari	Linux OS X Windows	Android Linux Windows
Data scheme	schema-free	yes	schema-free	yes
Typing predefined data types such as float or date	yes	yes	yes string, binary, float, bool, date, geometry	yes
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.	no	no	no	no
Secondary indexes	yes	yes	yes	yes
SQL Support of SQL	no	SQL-like query language via JavaScript builder pattern	no	yes
APIs and other access methods	Android gRPC (using protocol buffers) API iOS JavaScript API RESTful HTTP API			JDBC ODBC
Supported programming languages	Go Java JavaScript JavaScript (Node.js) Objective-C Python	JavaScript	C community-supported driver C# community-supported driver C++ community-supported driver Clojure community-supported driver Dart community-supported driver Erlang community-supported driver Go community-supported driver Haskell community-supported driver Java official driver JavaScript (Node.js) official driver Lisp community-supported driver Lua community-supported driver Objective-C community-supported driver Perl community-supported driver PHP community-supported driver Python official driver Ruby official driver Scala community-supported driver
Server-side scripts Stored procedures	yes, Firebase Rules & Cloud Functions	no
Triggers	yes, with Cloud Functions	Using read-only observers	Client-side triggers through changefeeds	yes
Partitioning methods Methods for storing different data on different nodes	Sharding	none	Sharding range based	horizontal partitioning
Replication methods Methods for redundantly storing data on multiple nodes	Multi-source replication	none	Source-replica replication	Source-replica replication
MapReduce Offers an API for user-defined Map/Reduce methods	Using Cloud Dataflow	no	yes	no
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency		Immediate Consistency	Immediate Consistency
Foreign keys Referential integrity	no	yes	no	yes
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	yes	ACID	Atomic single-document operations	ACID
Concurrency Support for concurrent manipulation of data	yes	yes	yes MVCC based	yes
Durability Support for making data persistent	yes	yes, by using IndexedDB or the cloud service Firebase Realtime Database	yes	yes
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.		yes using MemoryDB	no	yes
User concepts Access control	Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.	no	yes users and table-level permissions	fine grained access rights according to SQL-standard
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More resources
	Google Cloud Firestore	Lovefield	RethinkDB	Yaacomo
DB-Engines blog posts	Cloud-based DBMS's popularity grows at high rates 12 December 2019, Paul Andlinger show all