DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > etcd vs. Graph Engine vs. Lovefield vs. PouchDB

System Properties Comparison etcd vs. Graph Engine vs. Lovefield vs. PouchDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonLovefield  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionA distributed reliable key-value storeA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineEmbeddable relational database for web apps written in pure JavaScriptJavaScript DBMS with an API inspired by CouchDB
Primary database modelKey-value storeGraph DBMS
Key-value store
Relational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Websiteetcd.io
github.com/­etcd-io/­etcd
www.graphengine.iogoogle.github.io/­lovefieldpouchdb.com
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.graphengine.io/­docs/­manualgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdpouchdb.com/­guides
DeveloperMicrosoftGoogleApache Software Foundation
Initial release201020142012
Current release3.4, August 20192.1.12, February 20177.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo.NET and CJavaScriptJavaScript
Server operating systemsFreeBSD
Linux
Windows infoexperimental
.NETserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safariserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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.nononono
Secondary indexesnoyesyes infovia views
SQL infoSupport of SQLnonoSQL-like query language infovia JavaScript builder patternno
APIs and other access methodsgRPC
JSON over HTTP
RESTful HTTP APIHTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C#
C++
F#
Visual Basic
JavaScriptJavaScript
Server-side scripts infoStored proceduresnoyesnoView functions in JavaScript
Triggersyes, watching key changesnoUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.noneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes 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.noyesyes infousing MemoryDByes
User concepts infoAccess controlnonono

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
etcdGraph Engine infoformer name: TrinityLovefieldPouchDB
DB-Engines blog posts

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

show all

Recent citations in the news

Monitor Amazon EKS Control Plane metrics using AWS Open Source monitoring services | Amazon Web Services
12 October 2023, AWS Blog

RBI reiterates need for underlying forex exposure for rupee derivatives transactions | Stock Market News
5 April 2024, Mint

6 Cool Kubernetes Operators and How to Use Them
22 January 2024, hackernoon.com

Killing a market, softly: How an RBI communique could end India's thriving ETCD market
7 April 2024, The Economic Times

ETCD directives don't go well with RBI's stellar reputation
14 April 2024, Business Standard

provided by Google News

Trinity
2 June 2023, Microsoft

Open source Microsoft Graph Engine takes on Neo4j
13 February 2017, InfoWorld

Aerospike Is Now a Graph Database, Too
21 June 2023, Datanami

IBM releases Graph, a service that can outperform SQL databases
27 July 2016, GeekWire

The graph analytics landscape 2019 - DataScienceCentral.com
27 February 2019, Data Science Central

provided by Google News

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

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

3 Reasons To Think Offline First
22 March 2017, IBM

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

Offline-first web and mobile apps: Top frameworks and components
22 January 2019, TechBeacon

provided by Google News



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

SingleStore logo

Database for your real-time AI and Analytics Apps.
Try it today.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Present your product here