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DBMS > Google Cloud Firestore vs. Lovefield vs. OceanBase vs. RavenDB

System Properties Comparison Google Cloud Firestore vs. Lovefield vs. OceanBase vs. RavenDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonLovefield  Xexclude from comparisonOceanBase  Xexclude from comparisonRavenDB  Xexclude from comparison
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.Embeddable relational database for web apps written in pure JavaScriptA distributed, high available RDBMS compatible with Oracle and MySQLOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelDocument storeRelational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Wide column store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.63
Rank#54  Overall
#9  Document stores
Score0.22
Rank#306  Overall
#138  Relational DBMS
Score1.97
Rank#119  Overall
#58  Relational DBMS
Score2.68
Rank#102  Overall
#19  Document stores
Websitefirebase.google.com/­products/­firestoregoogle.github.io/­lovefielden.oceanbase.comravendb.net
Technical documentationfirebase.google.com/­docs/­firestoregithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mden.oceanbase.com/­docs/­oceanbase-databaseravendb.net/­docs
DeveloperGoogleGoogleOceanBase infopreviously Alibaba and Ant GroupHibernating Rhinos
Initial release2017201420102010
Current release2.1.12, February 20174.3.0, April 20245.4, July 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoCommercial license availableOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++C#
Server operating systemshostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinuxLinux
macOS
Raspberry Pi
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like query language infovia JavaScript builder patternyesSQL-like query language (RQL)
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table 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
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
JavaScriptAda infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud FunctionsnoPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible modeyes
Triggersyes, with Cloud FunctionsUsing read-only observersyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning (by hash, key, range, range columns, list, and list columns)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnoneMulti-source replication using PaxosMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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.
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infousing MemoryDB
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.noAccess rights for users, groups and roles according to SQL-standardAuthorization levels configured per client per database

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More resources
Google Cloud FirestoreLovefieldOceanBaseRavenDB
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