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DBMS > Dragonfly vs. Firebase Realtime Database vs. H2 vs. OrigoDB vs. XTDB

System Properties Comparison Dragonfly vs. Firebase Realtime Database vs. H2 vs. OrigoDB vs. XTDB

Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonH2  Xexclude from comparisonOrigoDB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceCloud-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 fully ACID in-memory object graph databaseA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelKey-value storeDocument storeRelational DBMSDocument store
Object oriented DBMS
Document store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#266  Overall
#38  Key-value stores
Score14.29
Rank#39  Overall
#6  Document stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
firebase.google.com/­products/­realtime-databasewww.h2database.comorigodb.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationwww.dragonflydb.io/­docsfirebase.google.com/­docs/­databasewww.h2database.com/­html/­main.htmlorigodb.com/­docswww.xtdb.com/­docs
DeveloperDragonflyDB team and community contributorsGoogle infoacquired by Google 2014Thomas MuellerRobert Friberg et alJuxt Ltd.
Initial release2023201220052009 infounder the name LiveDB2019
Current release1.0, March 20232.2.220, July 20231.19, September 2021
License infoCommercial or Open SourceOpen Source infoBSL 1.1commercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open SourceOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC#Clojure
Server operating systemsLinuxhostedAll OS with a Java VMLinux
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemescheme-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesyesUser defined using .NET types and collectionsyes, 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.nononono infocan be achieved using .NETno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnonoyesnolimited SQL, making use of Apache Calcite
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
.NET Client API
HTTP API
LINQ
HTTP REST
JDBC
Supported programming languagesC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
Java
JavaScript
Objective-C
Java.NetClojure
Java
Server-side scripts infoStored proceduresLualimited functionality with using 'rules'Java Stored Procedures and User-Defined Functionsyesno
Triggerspublish/subscribe channels provide some trigger functionalityCallbacks are triggered when data changesyesyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoclient side managed; servers are not synchronizednone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationWith clustering: 2 database servers on different computers operate on identical copies of a databaseSource-replica replicationyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integritynonoyesdepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsyesACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes, 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.yesyesyes
User concepts infoAccess controlPassword-based authenticationyes, based on authentication and database rulesfine grained access rights according to SQL-standardRole based authorization

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More resources
DragonflyFirebase Realtime DatabaseH2OrigoDBXTDB infoformerly named Crux
DB-Engines blog posts

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