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DBMS > Citus vs. Firebase Realtime Database vs. OrientDB vs. Snowflake

System Properties Comparison Citus vs. Firebase Realtime Database vs. OrientDB vs. Snowflake

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonOrientDB  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Multi-model DBMS (Document, Graph, Key/Value)Cloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSDocument storeDocument store
Graph DBMS
Key-value store
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.77
Rank#135  Overall
#65  Relational DBMS
Score18.92
Rank#39  Overall
#6  Document stores
Score5.14
Rank#79  Overall
#14  Document stores
#5  Graph DBMS
#12  Key-value stores
Score93.51
Rank#14  Overall
#9  Relational DBMS
Websitewww.citusdata.comfirebase.google.com/­products/­realtime-databaseorientdb.orgwww.snowflake.com
Technical documentationdocs.citusdata.comfirebase.google.com/­docs/­databasewww.orientdb.com/­docs/­last/­index.htmldocs.snowflake.net/­manuals/­index.html
DeveloperGoogle infoacquired by Google 2014OrientDB LTD; CallidusCloud; SAPSnowflake Computing Inc.
Initial release2010201220102014
Current release8.1, December 20183.1.9, February 2021
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialOpen Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava
Server operating systemsLinuxhostedAll OS with a Java JDK (>= JDK 6)hosted
Data schemeyesschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyesyes
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.yes infospecific XML type available, but no XML query functionalitynonoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoSQL-like query language, no joinsyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Android
iOS
JavaScript API
RESTful HTTP API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
CLI Client
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
JavaScript
Objective-C
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.limited functionality with using 'rules'Java, Javascriptuser defined functions
TriggersyesCallbacks are triggered when data changesHooksno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocould be achieved with distributed queriesno
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
Foreign keys infoReferential integrityyesnoyes inforelationship in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, based on authentication and database rulesAccess rights for users and roles; record level security configurableUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
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