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DBMS > Badger vs. DuckDB vs. PouchDB vs. STSdb

System Properties Comparison Badger vs. DuckDB vs. PouchDB vs. STSdb

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDuckDB  Xexclude from comparisonPouchDB  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.An embeddable, in-process, column-oriented SQL OLAP RDBMSJavaScript DBMS with an API inspired by CouchDBKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelKey-value storeRelational DBMSDocument storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score4.57
Rank#74  Overall
#40  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitegithub.com/­dgraph-io/­badgerduckdb.orgpouchdb.comgithub.com/­STSSoft/­STSdb4
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerduckdb.org/­docspouchdb.com/­guides
DeveloperDGraph LabsApache Software FoundationSTS Soft SC
Initial release2017201820122011
Current release0.10, February 20247.1.1, June 20194.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMIT LicenseOpen SourceOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++JavaScriptC#
Server operating systemsBSD
Linux
OS X
Solaris
Windows
server-lessserver-less, requires a JavaScript environment (browser, Node.js)Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesnoyes infoprimitive types and user defined types (classes)
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 indexesnoyesyes infovia viewsno
SQL infoSupport of SQLnoyesnono
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
.NET Client API
Supported programming languagesGoC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
JavaScriptC#
Java
Server-side scripts infoStored proceduresnonoView functions in JavaScriptno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlnononono

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More resources
BadgerDuckDBPouchDBSTSdb
DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

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Recent citations in the news

My First Billion (of Rows) in DuckDB | by João Pedro | May, 2024
1 May 2024, Towards Data Science

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12 March 2024, InfoQ.com

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5 March 2024, Datanami

DuckDB and AWS — How to Aggregate 100 Million Rows in 1 Minute
18 April 2024, Towards Data Science

Seattle startup MotherDuck raises $52.5M at a $400M valuation to fuel DuckDB analytics platform
20 September 2023, GeekWire

provided by Google News

Building an Offline First App with PouchDB — SitePoint
10 March 2014, SitePoint

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7 September 2016, SitePoint

3 Reasons To Think Offline First
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22 January 2019, TechBeacon

Create Offline Web Apps Using Service Workers & PouchDB — SitePoint
7 March 2017, SitePoint

provided by Google News



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