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DBMS > Google Cloud Firestore vs. RavenDB vs. SQL.JS vs. Sqrrl

System Properties Comparison Google Cloud Firestore vs. RavenDB vs. SQL.JS vs. Sqrrl

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonRavenDB  Xexclude from comparisonSQL.JS  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed 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.Open Source Operational and Transactional Enterprise NoSQL Document DatabasePort of SQLite to JavaScriptAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelDocument storeDocument storeRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score2.92
Rank#101  Overall
#18  Document stores
Score0.53
Rank#252  Overall
#116  Relational DBMS
Websitefirebase.google.com/­products/­firestoreravendb.netsql.js.orgsqrrl.com
Technical documentationfirebase.google.com/­docs/­firestoreravendb.net/­docssql.js.org/­documentation/­index.html
DeveloperGoogleHibernating RhinosAlon Zakai infoenhancements implemented by othersAmazon infooriginally Sqrrl Data, Inc.
Initial release2017201020122012
Current release5.4, July 2022
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3, commercial license availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#JavaScriptJava
Server operating systemshostedLinux
macOS
Raspberry Pi
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyes
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLnoSQL-like query language (RQL)yes infoSQL-92 is not fully supportedno
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JavaScript APIAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScriptActionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyesnono
Triggersyes, with Cloud Functionsyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replicationnoneselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.noneImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID, Cluster-wide transaction availableACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesno infoexcept by serializing a db to a fileyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
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.Authorization levels configured per client per databasenoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Google Cloud FirestoreRavenDBSQL.JSSqrrl
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