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DBMS > Firebase Realtime Database vs. Graph Engine vs. H2 vs. HBase vs. TDSQL for MySQL

System Properties Comparison Firebase Realtime Database vs. Graph Engine vs. H2 vs. HBase vs. TDSQL for MySQL

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonH2  Xexclude from comparisonHBase  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 engineFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Wide-column store based on Apache Hadoop and on concepts of BigTableA 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
Relational DBMSWide column storeRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.00
Rank#39  Overall
#6  Document stores
Score0.62
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score8.22
Rank#50  Overall
#32  Relational DBMS
Score31.25
Rank#26  Overall
#2  Wide column stores
Score0.82
Rank#213  Overall
#97  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.graphengine.iowww.h2database.comhbase.apache.orgwww.tencentcloud.com/­products/­dcdb
Technical documentationfirebase.google.com/­docs/­databasewww.graphengine.io/­docs/­manualwww.h2database.com/­html/­main.htmlhbase.apache.org/­book.htmlwww.tencentcloud.com/­document/­product/­1042
DeveloperGoogle infoacquired by Google 2014MicrosoftThomas MuellerApache Software Foundation infoApache top-level project, originally developed by PowersetTencent
Initial release20122010200520082013
Current release2.2.220, July 20232.3.4, January 2021
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache version 2commercial
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.NETAll OS with a Java VMLinux
Unix
Windows infousing Cygwin
hosted
Data schemeschema-freeyesyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or dateyesyesyesoptions to bring your own types, AVROyes
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 indexesyesyesnoyes
SQL infoSupport of SQLnonoyesnoyes
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Java API
RESTful HTTP API
Thrift
JDBC
ODBC
Supported programming languagesJava
JavaScript
Objective-C
C#
C++
F#
Visual Basic
JavaC
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored procedureslimited functionality with using 'rules'yesJava Stored Procedures and User-Defined Functionsyes infoCoprocessors in Javayes
TriggersCallbacks are triggered when data changesnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
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 Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDSingle row ACID (across millions of columns)ACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
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 rulesfine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACUsers with fine-grained authorization concept

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More resources
Firebase Realtime DatabaseGraph Engine infoformer name: TrinityH2HBaseTDSQL for MySQL
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