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DBMS > CockroachDB vs. PouchDB

System Properties Comparison CockroachDB vs. PouchDB

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Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.JavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.90
Rank#68  Overall
#36  Relational DBMS
Score2.00
Rank#113  Overall
#21  Document stores
Websitewww.cockroachlabs.compouchdb.com
Technical documentationwww.cockroachlabs.com/­docspouchdb.com/­guides
DeveloperCockroach LabsApache Software Foundation
Initial release20152012
Current release24.1.0, May 20247.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availableOpen Source
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaScript
Server operating systemsLinux
macOS
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemedynamic schemaschema-free
Typing infopredefined data types such as float or dateyesno
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.nono
Secondary indexesyesyes infovia views
SQL infoSupport of SQLyes, wire compatible with PostgreSQLno
APIs and other access methodsJDBCHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
JavaScript
Server-side scripts infoStored proceduresnoView functions in JavaScript
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlRole-based access controlno

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More resources
CockroachDBPouchDB
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

IBM Expands Its Hybrid Cloud and AI Capabilities with CockroachDB Integration
7 May 2025, TipRanks

Cockroach Labs Brings Distributed SQL to IBM LinuxONE and Linux on IBM Z
7 May 2025, StreetInsider

AI Meets Resilience: Cockroach Labs Intros CockroachDB 24.2
2 October 2024, Channel Insider

Now CockroachDB Ditches Open-Source License
20 August 2024, It's FOSS News

CockroachDB scurries off to proprietary software land
23 August 2024, theregister.com

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Getting Started with PouchDB Client-Side JavaScript Database
7 September 2016, SitePoint

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

Apache CouchDB: The Definitive Introduction
28 August 2014, infoq.com

3 Reasons To Think Offline First
22 March 2017, IBM

Table 1 Approximate time-requirements for critical data-flow processes
31 October 2018, ResearchGate

provided by Google News



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