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DBMS > Dragonfly vs. Google Cloud Spanner vs. PouchDB vs. Realm

System Properties Comparison Dragonfly vs. Google Cloud Spanner vs. PouchDB vs. Realm

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonPouchDB  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.JavaScript DBMS with an API inspired by CouchDBA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelKey-value storeRelational DBMSDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#261  Overall
#38  Key-value stores
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Score7.41
Rank#52  Overall
#8  Document stores
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
cloud.google.com/­spannerpouchdb.comrealm.io
Technical documentationwww.dragonflydb.io/­docscloud.google.com/­spanner/­docspouchdb.com/­guidesrealm.io/­docs
DeveloperDragonflyDB team and community contributorsGoogleApache Software FoundationRealm, acquired by MongoDB in May 2019
Initial release2023201720122014
Current release1.0, March 20237.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoBSL 1.1commercialOpen SourceOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaScript
Server operating systemsLinuxhostedserver-less, requires a JavaScript environment (browser, Node.js)Android
Backend: server-less
iOS
Windows
Data schemescheme-freeyesschema-freeyes
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesnoyes
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 viewsyes
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011nono
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolgRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
Go
Java
JavaScript (Node.js)
Python
JavaScript.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresLuanoView functions in JavaScriptno inforuns within the applications so server-side scripts are unnecessary
Triggerspublish/subscribe channels provide some trigger functionalitynoyesyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication with 3 replicas for regional instances.Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsACID infoStrict serializable isolationnoACID
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryes
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.yesnoyesyes infoIn-Memory realm
User concepts infoAccess controlPassword-based authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noyes

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