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DBMS > Firebase Realtime Database vs. Google Cloud Spanner vs. RavenDB vs. Vitess

System Properties Comparison Firebase Realtime Database vs. Google Cloud Spanner vs. RavenDB vs. Vitess

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonRavenDB  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Open Source Operational and Transactional Enterprise NoSQL Document DatabaseScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelDocument storeRelational DBMSDocument storeRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.64
Rank#39  Overall
#6  Document stores
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasecloud.google.com/­spannerravendb.netvitess.io
Technical documentationfirebase.google.com/­docs/­databasecloud.google.com/­spanner/­docsravendb.net/­docsvitess.io/­docs
DeveloperGoogle infoacquired by Google 2014GoogleHibernating RhinosThe Linux Foundation, PlanetScale
Initial release2012201720102013
Current release5.4, July 202215.0.2, December 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#Go
Server operating systemshostedhostedLinux
macOS
Raspberry Pi
Windows
Docker
Linux
macOS
Data schemeschema-freeyesschema-freeyes
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.nono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011SQL-like query language (RQL)yes infowith proprietary extensions
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
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
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesJava
JavaScript
Objective-C
Go
Java
JavaScript (Node.js)
Python
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored procedureslimited functionality with using 'rules'noyesyes infoproprietary syntax
TriggersCallbacks are triggered when data changesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.Multi-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate 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.Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoStrict serializable isolationACID, Cluster-wide transaction availableACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlyes, based on authentication and database rulesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Authorization levels configured per client per databaseUsers with fine-grained authorization concept infono user groups or roles

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More resources
Firebase Realtime DatabaseGoogle Cloud SpannerRavenDBVitess
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