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DBMS > Firebase Realtime Database vs. Graph Engine vs. HugeGraph vs. HyperSQL vs. TDSQL for MySQL

System Properties Comparison Firebase Realtime Database vs. Graph Engine vs. HugeGraph vs. HyperSQL vs. TDSQL for MySQL

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHugeGraph  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonTDSQL for MySQL  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.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA fast-speed and highly-scalable Graph DBMSMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelDocument storeGraph DBMS
Key-value store
Graph DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.graphengine.iogithub.com/­hugegraph
hugegraph.apache.org
hsqldb.orgwww.tencentcloud.com/­products/­dcdb
Technical documentationfirebase.google.com/­docs/­databasewww.graphengine.io/­docs/­manualhugegraph.apache.org/­docshsqldb.org/­web/­hsqlDocsFrame.htmlwww.tencentcloud.com/­document/­product/­1042
DeveloperGoogle infoacquired by Google 2014MicrosoftBaiduTencent
Initial release20122010201820012013
Current release0.92.7.2, June 2023
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoApache Version 2.0Open Source infobased on BSD licensecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CJavaJava
Server operating systemshosted.NETLinux
macOS
Unix
All OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modeshosted
Data schemeschema-freeyesyesyesyes
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.nonononono
Secondary indexesyesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLnononoyesyes
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP APIJava API
RESTful HTTP API
TinkerPop Gremlin
HTTP API infoJDBC via HTTP
JDBC
ODBC
JDBC
ODBC
Supported programming languagesJava
JavaScript
Objective-C
C#
C++
F#
Visual Basic
Groovy
Java
Python
All languages supporting JDBC/ODBC
Java
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored procedureslimited functionality with using 'rules'yesasynchronous Gremlin script jobsJava, SQLyes
TriggersCallbacks are triggered when data changesnonoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes infodepending on used storage backend, e.g. Cassandra and HBasenoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBasenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
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 rulesUsers, roles and permissionsfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
Firebase Realtime DatabaseGraph Engine infoformer name: TrinityHugeGraphHyperSQL infoalso known as HSQLDBTDSQL for MySQL
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