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DBMS > Apache Doris vs. Firebase Realtime Database vs. IRONdb vs. OrigoDB vs. Sequoiadb

System Properties Comparison Apache Doris vs. Firebase Realtime Database vs. IRONdb vs. OrigoDB vs. Sequoiadb

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonIRONdb  Xexclude from comparisonOrigoDB  Xexclude from comparisonSequoiadb  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA fully ACID in-memory object graph databaseNewSQL database with distributed OLTP and SQL
Primary database modelRelational DBMSDocument storeTime Series DBMSDocument store
Object oriented DBMS
Document store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
firebase.google.com/­products/­realtime-databasewww.circonus.com/solutions/time-series-database/origodb.comwww.sequoiadb.com
Technical documentationgithub.com/­apache/­doris/­wikifirebase.google.com/­docs/­databasedocs.circonus.com/irondb/category/getting-startedorigodb.com/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperApache Software Foundation, originally contributed from BaiduGoogle infoacquired by Google 2014Circonus LLC.Robert Friberg et alSequoiadb Ltd.
Initial release2017201220172009 infounder the name LiveDB2013
Current release1.2.2, February 2023V0.10.20, January 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen SourceOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++C#C++
Server operating systemsLinuxhostedLinuxLinux
Windows
Linux
Data schemeyesschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsUser defined using .NET types and collectionsyes infooid, date, timestamp, binary, regex
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 indexesyesyesnoyesyes
SQL infoSupport of SQLyesnoSQL-like query language (Circonus Analytics Query Language: CAQL)noSQL-like query language
APIs and other access methodsJDBC
MySQL client
Android
iOS
JavaScript API
RESTful HTTP API
HTTP API.NET Client API
HTTP API
LINQ
proprietary protocol using JSON
Supported programming languagesJavaJava
JavaScript
Objective-C
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresuser defined functionslimited functionality with using 'rules'yes, in LuayesJavaScript
TriggersnoCallbacks are triggered when data changesnoyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningAutomatic, metric affinity per nodehorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneconfigurable replication factor, datacenter awareSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate consistency per node, eventual consistency across nodesEventual Consistency
Foreign keys infoReferential integritynononodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nonoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, based on authentication and database rulesnoRole based authorizationsimple password-based access control

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More resources
Apache DorisFirebase Realtime DatabaseIRONdbOrigoDBSequoiadb
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