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DBMS > Google Cloud Firestore vs. Quasardb vs. Riak KV vs. Trafodion

System Properties Comparison Google Cloud Firestore vs. Quasardb vs. Riak KV vs. Trafodion

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonQuasardb  Xexclude from comparisonRiak KV  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
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.Distributed, high-performance timeseries databaseDistributed, fault tolerant key-value storeTransactional SQL-on-Hadoop DBMS
Primary database modelDocument storeTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitefirebase.google.com/­products/­firestorequasar.aitrafodion.apache.org
Technical documentationfirebase.google.com/­docs/­firestoredoc.quasar.ai/­masterwww.tiot.jp/­riak-docs/­riak/­kv/­latesttrafodion.apache.org/­documentation.html
DeveloperGooglequasardbOpenSource, formerly Basho TechnologiesApache Software Foundation, originally developed by HP
Initial release2017200920092014
Current release3.14.1, January 20243.2.0, December 20222.3.0, February 2019
License infoCommercial or Open Sourcecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache version 2, commercial enterprise editionOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ErlangC++, Java
Server operating systemshostedBSD
Linux
OS X
Windows
Linux
OS X
Linux
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infointeger and binarynoyes
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 indexesyesyes infowith tagsrestrictedyes
SQL infoSupport of SQLnoSQL-like query languagenoyes
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HTTP APIHTTP API
Native Erlang Interface
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud FunctionsnoErlangJava Stored Procedures
Triggersyes, with Cloud Functionsnoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replication with selectable replication factorselectable replication factoryes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowwith Hadoop integrationyesyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient modeno
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.Cryptographically strong user authentication and audit trailyes, using Riak Securityfine grained access rights according to SQL-standard

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More resources
Google Cloud FirestoreQuasardbRiak KVTrafodion
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