DBMS > Brytlyt vs. Fauna vs. PouchDB

System Properties Comparison Brytlyt vs. Fauna vs. PouchDB

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Editorial information provided by DB-Engines
Name	Brytlyt  Xexclude from comparison	Fauna previously named FaunaDB  Xexclude from comparison	PouchDB  Xexclude from comparison
Description	Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQL	Fauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.	JavaScript DBMS with an API inspired by CouchDB
Primary database model	Relational DBMS	Document store Graph DBMS Relational DBMS Time Series DBMS	Document store
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.31 Rank #271   Overall #125   Relational DBMS	Score 1.33 Rank #148   Overall #25   Document stores #12   Graph DBMS #71   Relational DBMS #10   Time Series DBMS	Score 3.10 Rank #99   Overall #18   Document stores
Website	www.brytlyt.com	fauna.com	pouchdb.com
Technical documentation		docs.fauna.com	pouchdb.com/­guides
Developer	Brytlyt	Fauna, Inc.	Apache Software Foundation
Initial release	2016	2014	2012
Current release	0.9, October 2016		7.1.1, June 2019
License Commercial or Open Source	commercial	commercial	Open Source
Cloud-based only Only available as a cloud service	no	yes	no
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Implementation language	C, C++ and CUDA	Scala	JavaScript
Server operating systems	Linux OS X Windows	hosted	server-less, requires a JavaScript environment (browser, Node.js)
Data scheme	yes	schema-free	schema-free
Typing predefined data types such as float or date	yes	no	no
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.	yes specific XML-type available, but no XML query functionality.	no	no
Secondary indexes	yes	yes	yes via views
SQL Support of SQL	yes	no	no
APIs and other access methods	ADO.NET JDBC native C library ODBC streaming API for large objects	RESTful HTTP API	HTTP REST only for PouchDB Server JavaScript API
Supported programming languages	.Net C C++ Delphi Java Perl Python Tcl	C# Go Java JavaScript Python Ruby Scala Swift	JavaScript
Server-side scripts Stored procedures	user defined functions in PL/pgSQL	user defined functions	View functions in JavaScript
Triggers	yes	no	yes
Partitioning methods Methods for storing different data on different nodes		horizontal partitioning consistent hashing	Sharding with a proxy-based framework, named couchdb-lounge
Replication methods Methods for redundantly storing data on multiple nodes	Source-replica replication	Multi-source replication	Multi-source replication also with CouchDB databases Source-replica replication also with CouchDB databases
MapReduce Offers an API for user-defined Map/Reduce methods	no	no	yes
Consistency concepts Methods to ensure consistency in a distributed system	Immediate Consistency	Immediate Consistency	Eventual Consistency
Foreign keys Referential integrity	yes	yes	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	ACID	ACID	no
Concurrency Support for concurrent manipulation of data	yes	yes
Durability Support for making data persistent	yes	yes	yes by using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities Is there an option to define some or all structures to be held in-memory only.		no	yes
User concepts Access control	fine grained access rights according to SQL-standard	Identity management, authentication, and access control	no
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More resources
	Brytlyt	Fauna previously named FaunaDB	PouchDB
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