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DBMS > etcd vs. Google Cloud Firestore vs. gStore vs. KeyDB vs. MonetDB

System Properties Comparison etcd vs. Google Cloud Firestore vs. gStore vs. KeyDB vs. MonetDB

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisongStore  Xexclude from comparisonKeyDB  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionA distributed reliable key-value storeCloud 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 native Graph DBMS to store and maintain very large RDF datasets.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsA relational database management system that stores data in columns
Primary database modelKey-value storeDocument storeGraph DBMS
RDF store
Key-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.03
Rank#54  Overall
#5  Key-value stores
Score7.36
Rank#53  Overall
#9  Document stores
Score0.14
Rank#342  Overall
#34  Graph DBMS
#16  RDF stores
Score0.70
Rank#229  Overall
#32  Key-value stores
Score1.72
Rank#141  Overall
#64  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
firebase.google.com/­products/­firestoreen.gstore.cngithub.com/­Snapchat/­KeyDB
keydb.dev
www.monetdb.org
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
firebase.google.com/­docs/­firestoreen.gstore.cn/­#/­enDocsdocs.keydb.devwww.monetdb.org/­Documentation
DeveloperGoogleEQ Alpha Technology Ltd.MonetDB BV
Initial release2017201620192004
Current release3.4, August 20191.2, November 2023Dec2023 (11.49), December 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoBSDOpen Source infoBSD-3Open Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++C++C
Server operating systemsFreeBSD
Linux
Windows infoexperimental
hostedLinuxLinuxFreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-free and OWL/RDFS-schema supportschema-freeyes
Typing infopredefined data types such as float or datenoyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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 infoby using the Redis Search moduleyes
SQL infoSupport of SQLnonononoyes infoSQL 2003 with some extensions
APIs and other access methodsgRPC
JSON over HTTP
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HTTP API
SPARQL 1.1
Proprietary protocol infoRESP - REdis Serialization ProtocoJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C++
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud FunctionsyesLuayes, in SQL, C, R
Triggersyes, watching key changesyes, with Cloud Functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding via remote tables
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 replication
Source-replica replication
none infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesyesOptimistic locking, atomic execution of commands blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Users, roles and permissions, Role-Based Access Control (RBAC) supportedsimple password-based access control and ACLfine grained access rights according to SQL-standard

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More resources
etcdGoogle Cloud FirestoregStoreKeyDBMonetDB
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