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DBMS > Citus vs. Firebase Realtime Database vs. H2 vs. XTDB

System Properties Comparison Citus vs. Firebase Realtime Database vs. H2 vs. XTDB

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonH2  Xexclude from comparisonXTDB infoformerly named Crux  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.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSDocument storeRelational DBMSDocument store
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#129  Overall
#61  Relational DBMS
Score15.07
Rank#38  Overall
#6  Document stores
Score8.14
Rank#50  Overall
#32  Relational DBMS
Score0.16
Rank#336  Overall
#48  Document stores
Websitewww.citusdata.comfirebase.google.com/­products/­realtime-databasewww.h2database.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.citusdata.comfirebase.google.com/­docs/­databasewww.h2database.com/­html/­main.htmlwww.xtdb.com/­docs
DeveloperGoogle infoacquired by Google 2014Thomas MuellerJuxt Ltd.
Initial release2010201220052019
Current release8.1, December 20182.2.220, July 20231.19, September 2021
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaClojure
Server operating systemsLinuxhostedAll OS with a Java VMAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes, extensible-data-notation format
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 functionalitynonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsnoyeslimited SQL, making use of Apache Calcite
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Android
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
HTTP REST
JDBC
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
JavaScript
Objective-C
JavaClojure
Java
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 Stored Procedures and User-Defined Functionsno
TriggersyesCallbacks are triggered when data changesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsWith clustering: 2 database servers on different computers operate on identical copies of a databaseyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
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 integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, based on authentication and database rulesfine grained access rights according to SQL-standard

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More resources
CitusFirebase Realtime DatabaseH2XTDB infoformerly named Crux
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