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DBMS > DataFS vs. Datomic vs. etcd vs. EventStoreDB vs. Google Cloud Firestore

System Properties Comparison DataFS vs. Datomic vs. etcd vs. EventStoreDB vs. Google Cloud Firestore

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonDatomic  Xexclude from comparisonetcd  Xexclude from comparisonEventStoreDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA distributed reliable key-value storeIndustrial-strength, open-source database solution built from the ground up for event sourcing.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.
Primary database modelObject oriented DBMSRelational DBMSKey-value storeEvent StoreDocument store
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score1.10
Rank#179  Overall
#1  Event Stores
Score7.85
Rank#51  Overall
#8  Document stores
Websitenewdatabase.comwww.datomic.cometcd.io
github.com/­etcd-io/­etcd
www.eventstore.comfirebase.google.com/­products/­firestore
Technical documentationdev.mobiland.com/­Overview.xspdocs.datomic.cometcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
developers.eventstore.comfirebase.google.com/­docs/­firestore
DeveloperMobiland AGCognitectEvent Store LimitedGoogle
Initial release2018201220122017
Current release1.1.263, October 20221.0.6735, June 20233.4, August 201921.2, February 2021
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache Version 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureGo
Server operating systemsWindowsAll OS with a Java VMFreeBSD
Linux
Windows infoexperimental
Linux
Windows
hosted
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesnoyesnoyes
SQL infoSupport of SQLnononono
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
RESTful HTTP APIgRPC
JSON over HTTP
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Supported programming languages.Net
C
C#
C++
VB.Net
Clojure
Java
.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
Server-side scripts infoStored proceduresyes infoTransaction Functionsnoyes, Firebase Rules & Cloud Functions
Triggersno, except callback-events from server when changes happenedBy using transaction functionsyes, watching key changesyes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemnone infoBut extensive use of caching in the application peersSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoUsing Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentno
User concepts infoAccess controlWindows-ProfilenonoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.

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More resources
DataFSDatomicetcdEventStoreDBGoogle Cloud Firestore
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