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DBMS > Firebase Realtime Database vs. Google Cloud Spanner vs. Graphite vs. OrigoDB vs. VictoriaMetrics

System Properties Comparison Firebase Realtime Database vs. Google Cloud Spanner vs. Graphite vs. OrigoDB vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonGraphite  Xexclude from comparisonOrigoDB  Xexclude from comparisonVictoriaMetrics  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.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperA fully ACID in-memory object graph databaseA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelDocument storeRelational DBMSTime Series DBMSDocument store
Object oriented DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.60
Rank#39  Overall
#6  Document stores
Score2.69
Rank#101  Overall
#51  Relational DBMS
Score5.19
Rank#62  Overall
#4  Time Series DBMS
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Score1.23
Rank#165  Overall
#15  Time Series DBMS
Websitefirebase.google.com/­products/­realtime-databasecloud.google.com/­spannergithub.com/­graphite-project/­graphite-weborigodb.comvictoriametrics.com
Technical documentationfirebase.google.com/­docs/­databasecloud.google.com/­spanner/­docsgraphite.readthedocs.ioorigodb.com/­docsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperGoogle infoacquired by Google 2014GoogleChris DavisRobert Friberg et alVictoriaMetrics
Initial release2012201720062009 infounder the name LiveDB2018
Current releasev1.91, May 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open SourceOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC#Go
Server operating systemshostedhostedLinux
Unix
Linux
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyUser defined using .NET types and collections
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 infocan be achieved using .NETno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyes infoQuery statements complying to ANSI 2011nonono
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
HTTP API
Sockets
.NET Client API
HTTP API
LINQ
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesJava
JavaScript
Objective-C
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
.Net
Server-side scripts infoStored procedureslimited functionality with using 'rules'nonoyesno
TriggersCallbacks are triggered when data changesnonoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication with 3 replicas for regional instances.noneSource-replica replicationSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoStrict serializable isolationnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
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)noRole based authorization

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More resources
Firebase Realtime DatabaseGoogle Cloud SpannerGraphiteOrigoDBVictoriaMetrics
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