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DBMS > Firebase Realtime Database vs. H2 vs. HyperSQL vs. RDFox vs. TypeDB

System Properties Comparison Firebase Realtime Database vs. H2 vs. HyperSQL vs. RDFox vs. TypeDB

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonH2  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonRDFox  Xexclude from comparisonTypeDB infoformerly named Grakn  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.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Multithreaded, transactional RDBMS written in Java infoalso known as HSQLDBHigh performance knowledge graph and semantic reasoning engineTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelDocument storeRelational DBMSRelational DBMSGraph DBMS
RDF store
Graph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.64
Rank#39  Overall
#6  Document stores
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score3.23
Rank#93  Overall
#48  Relational DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score0.70
Rank#230  Overall
#20  Graph DBMS
#106  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.h2database.comhsqldb.orgwww.oxfordsemantic.techtypedb.com
Technical documentationfirebase.google.com/­docs/­databasewww.h2database.com/­html/­main.htmlhsqldb.org/­web/­hsqlDocsFrame.htmldocs.oxfordsemantic.techtypedb.com/­docs
DeveloperGoogle infoacquired by Google 2014Thomas MuellerOxford Semantic TechnologiesVaticle
Initial release20122005200120172016
Current release2.2.220, July 20232.7.2, June 20236.0, Septermber 20222.26.3, January 2024
License infoCommercial or Open SourcecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infobased on BSD licensecommercialOpen Source infoGPL Version 3, commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++Java
Server operating systemshostedAll OS with a Java VMAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
macOS
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyes infoRDF schemasyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesyesnono
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
HTTP API infoJDBC via HTTP
JDBC
ODBC
RESTful HTTP API
SPARQL 1.1
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesJava
JavaScript
Objective-C
JavaAll languages supporting JDBC/ODBC
Java
C
Java
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored procedureslimited functionality with using 'rules'Java Stored Procedures and User-Defined FunctionsJava, SQLno
TriggersCallbacks are triggered when data changesyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databasenonereplication via a shared file systemMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integritynoyesyesno infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlyes, based on authentication and database rulesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardRoles, resources, and access typesyes infoat REST API level; other APIs in progress
More information provided by the system vendor
Firebase Realtime DatabaseH2HyperSQL infoalso known as HSQLDBRDFoxTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
Firebase Realtime DatabaseH2HyperSQL infoalso known as HSQLDBRDFoxTypeDB infoformerly named Grakn
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