DBMS > Badger vs. PouchDB vs. STSdb

System Properties Comparison Badger vs. PouchDB vs. STSdb

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Editorial information provided by DB-Engines
Name	Badger  Xexclude from comparison	PouchDB  Xexclude from comparison	STSdb  Xexclude from comparison
Description	An embeddable, persistent, simple and fast Key-Value Store, written purely in Go.	JavaScript DBMS with an API inspired by CouchDB	Key-Value Store with special method for indexing optimized for high performance using a special indexing method
Primary database model	Key-value store	Document store	Key-value store
DB-Engines Ranking measures the popularity of database management systems Trend Chart	Score 0.10 Rank #316   Overall #46   Key-value stores	Score 3.01 Rank #102   Overall #19   Document stores	Score 0.00 Rank #356   Overall #57   Key-value stores
Website	github.com/­dgraph-io/­badger	pouchdb.com	github.com/­STSSoft/­STSdb4
Technical documentation	godoc.org/­github.com/­dgraph-io/­badger	pouchdb.com/­guides
Developer	DGraph Labs	Apache Software Foundation	STS Soft SC
Initial release	2017	2012	2011
Current release		7.1.1, June 2019	4.0.8, September 2015
License Commercial or Open Source	Open Source Apache 2.0	Open Source	Open Source GPLv2, commercial license available
Cloud-based only Only available as a cloud service	no	no	no
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Implementation language	Go	JavaScript	C#
Server operating systems	BSD Linux OS X Solaris Windows	server-less, requires a JavaScript environment (browser, Node.js)	Windows
Data scheme	schema-free	schema-free	yes
Typing predefined data types such as float or date	no	no	yes primitive types and user defined types (classes)
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
Secondary indexes	no	yes via views	no
SQL Support of SQL	no	no	no
APIs and other access methods		HTTP REST only for PouchDB Server JavaScript API	.NET Client API
Supported programming languages	Go	JavaScript	C# Java
Server-side scripts Stored procedures	no	View functions in JavaScript	no
Triggers	no	yes	no
Partitioning methods Methods for storing different data on different nodes	none	Sharding with a proxy-based framework, named couchdb-lounge	none
Replication methods Methods for redundantly storing data on multiple nodes	none	Multi-source replication also with CouchDB databases Source-replica replication also with CouchDB databases	none
MapReduce Offers an API for user-defined Map/Reduce methods	no	yes	no
Consistency concepts Methods to ensure consistency in a distributed system	none	Eventual Consistency
Foreign keys Referential integrity	no	no	no
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data	no	no	no
Concurrency Support for concurrent manipulation of data	yes		yes
Durability Support for making data persistent	yes	yes by using IndexedDB, WebSQL or LevelDB as backend	yes
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	no	no	no
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	Badger	PouchDB	STSdb
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