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DBMS > Firebase Realtime Database vs. HBase vs. Teradata Aster vs. TigerGraph

System Properties Comparison Firebase Realtime Database vs. HBase vs. Teradata Aster vs. TigerGraph

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonHBase  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTigerGraph  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Wide-column store based on Apache Hadoop and on concepts of BigTablePlatform for big data analytics on multistructured data sources and typesA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument storeWide column storeRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitefirebase.google.com/­products/­realtime-databasehbase.apache.orgwww.tigergraph.com
Technical documentationfirebase.google.com/­docs/­databasehbase.apache.org/­book.htmldocs.tigergraph.com
DeveloperGoogle infoacquired by Google 2014Apache Software Foundation infoApache top-level project, originally developed by PowersetTeradata
Initial release2012200820052017
Current release2.3.4, January 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2commercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemshostedLinux
Unix
Windows infousing Cygwin
LinuxLinux
Data schemeschema-freeschema-free, schema definition possibleFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROyesyes
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.nonoyes infoin Aster File Storeno
Secondary indexesyesnoyes
SQL infoSupport of SQLnonoyesSQL-like query language (GSQL)
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
OLE DB
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesJava
JavaScript
Objective-C
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C#
C++
Java
Python
R
C++
Java
Server-side scripts infoStored procedureslimited functionality with using 'rules'yes infoCoprocessors in JavaR packagesyes
TriggersCallbacks are triggered when data changesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoSQL Map-Reduce Frameworkyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesSingle row ACID (across millions of columns)ACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlyes, based on authentication and database rulesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standardRole-based access control

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More resources
Firebase Realtime DatabaseHBaseTeradata AsterTigerGraph
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