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DBMS > Google Cloud Firestore vs. IRONdb vs. NuoDB vs. Vitess

System Properties Comparison Google Cloud Firestore vs. IRONdb vs. NuoDB vs. Vitess

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonIRONdb  Xexclude from comparisonNuoDB  Xexclude from comparisonVitess  Xexclude from comparison
IRONdb seems to be discontinued. 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.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityNuoDB is a webscale distributed database that supports SQL and ACID transactionsScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelDocument storeTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.36
Rank#53  Overall
#9  Document stores
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitefirebase.google.com/­products/­firestorewww.circonus.com/solutions/time-series-database/www.3ds.com/­nuodb-distributed-sql-databasevitess.io
Technical documentationfirebase.google.com/­docs/­firestoredocs.circonus.com/irondb/category/getting-starteddoc.nuodb.comvitess.io/­docs
DeveloperGoogleCirconus LLC.Dassault Systèmes infooriginally NuoDB, Inc.The Linux Foundation, PlanetScale
Initial release2017201720132013
Current releaseV0.10.20, January 201815.0.2, December 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial infolimited edition freeOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++Go
Server operating systemshostedLinuxhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Docker
Linux
macOS
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesyes
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.nonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnoSQL-like query language (Circonus Analytics Query Language: CAQL)yesyes infowith proprietary extensions
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HTTP APIADO.NET
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyes, in LuaJava, SQLyes infoproprietary syntax
Triggersyes, with Cloud Functionsnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodedata is dynamically stored/cached on the nodes where it is read/writtenSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationconfigurable replication factor, datacenter awareyes infoManaged transparently by NuoDBMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID infotunable commit protocolACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTemporary tableyes
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.noStandard SQL roles/ privileges, Administrative UsersUsers with fine-grained authorization concept infono user groups or roles

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More resources
Google Cloud FirestoreIRONdbNuoDBVitess
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