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DBMS > etcd vs. Fauna vs. Google Cloud Firestore vs. PostGIS vs. Yanza

System Properties Comparison etcd vs. Fauna vs. Google Cloud Firestore vs. PostGIS vs. Yanza

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonPostGIS  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA distributed reliable key-value storeFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Cloud 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.Spatial extension of PostgreSQLTime Series DBMS for IoT Applications
Primary database modelKey-value storeDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Document storeSpatial DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score1.52
Rank#153  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
fauna.comfirebase.google.com/­products/­firestorepostgis.netyanza.com
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.fauna.comfirebase.google.com/­docs/­firestorepostgis.net/­documentation
DeveloperFauna, Inc.GoogleYanza
Initial release2014201720052015
Current release3.4, August 20193.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoGPL v2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenoyesyesnono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoScalaC
Server operating systemsFreeBSD
Linux
Windows infoexperimental
hostedhostedWindows
Data schemeschema-freeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or datenonoyesyesno
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.nononoyesno
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLnononoyesno
APIs and other access methodsgRPC
JSON over HTTP
RESTful HTTP APIAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HTTP API
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresnouser defined functionsyes, Firebase Rules & Cloud Functionsuser defined functionsno
Triggersyes, watching key changesnoyes, with Cloud Functionsyesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoconsistent hashingShardingyes infobased on PostgreSQLnone
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replicationMulti-source replicationyes infobased on PostgreSQLnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnoIdentity management, authentication, and access 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 infobased on PostgreSQLno

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More resources
etcdFauna infopreviously named FaunaDBGoogle Cloud FirestorePostGISYanza
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