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DBMS > Google Cloud Firestore vs. Memcached vs. Rockset

System Properties Comparison Google Cloud Firestore vs. Memcached vs. Rockset

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonMemcached  Xexclude from comparisonRockset  Xexclude from comparison
DescriptionCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.In-memory key-value store, originally intended for cachingA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelDocument storeKey-value storeDocument store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score19.42
Rank#32  Overall
#4  Key-value stores
Score0.79
Rank#211  Overall
#35  Document stores
Websitefirebase.google.com/­products/­firestorewww.memcached.orgrockset.com
Technical documentationfirebase.google.com/­docs/­firestoregithub.com/­memcached/­memcached/­wikidocs.rockset.com
DeveloperGoogleDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalRockset
Initial release201720032019
Current release1.6.25, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoBSD licensecommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++
Server operating systemshostedFreeBSD
Linux
OS X
Unix
Windows
hosted
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnodynamic typing
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 infoingestion from XML files supported
Secondary indexesyesnoall fields are automatically indexed
SQL infoSupport of SQLnonoRead-only SQL queries, including JOINs
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Proprietary protocolHTTP REST
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsnono
Triggersyes, with Cloud Functionsnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnone infoRepcached, a Memcached patch, provides this functionallityyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesnoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.yes infousing SASL (Simple Authentication and Security Layer) protocolAccess rights for users and organizations can be defined via Rockset console

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More resources
Google Cloud FirestoreMemcachedRockset
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8 March 2024, Appinventiv

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1 March 2024, Forbes

Google's Cloud Firestore is now generally available
31 January 2019, ZDNet

Google launches Cloud Firestore, a new document database for app developers
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