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DBMS > AgensGraph vs. Firebase Realtime Database vs. HBase vs. OrigoDB vs. XTDB

System Properties Comparison AgensGraph vs. Firebase Realtime Database vs. HBase vs. OrigoDB vs. XTDB

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHBase  Xexclude from comparisonOrigoDB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLCloud-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 BigTableA fully ACID in-memory object graph databaseA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelGraph DBMS
Relational DBMS
Document storeWide column storeDocument store
Object oriented DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitebitnine.net/­agensgraphfirebase.google.com/­products/­realtime-databasehbase.apache.orgorigodb.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationbitnine.net/­documentationfirebase.google.com/­docs/­databasehbase.apache.org/­book.htmlorigodb.com/­docswww.xtdb.com/­docs
DeveloperBitnine Global Inc.Google infoacquired by Google 2014Apache Software Foundation infoApache top-level project, originally developed by PowersetRobert Friberg et alJuxt Ltd.
Initial release2016201220082009 infounder the name LiveDB2019
Current release2.1, December 20182.3.4, January 20211.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache version 2Open SourceOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC#Clojure
Server operating systemsLinux
OS X
Windows
hostedLinux
Unix
Windows infousing Cygwin
Linux
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemedepending on used data modelschema-freeschema-free, schema definition possibleyesschema-free
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROUser 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 indexesyesyesnoyesyes
SQL infoSupport of SQLyesnononolimited SQL, making use of Apache Calcite
APIs and other access methodsCypher Query Language
JDBC
Android
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
.NET Client API
HTTP API
LINQ
HTTP REST
JDBC
Supported programming languagesC
Java
JavaScript
Python
Java
JavaScript
Objective-C
C
C#
C++
Groovy
Java
PHP
Python
Scala
.NetClojure
Java
Server-side scripts infoStored proceduresyeslimited functionality with using 'rules'yes infoCoprocessors in Javayesno
TriggersnoCallbacks are triggered when data changesyesyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardinghorizontal partitioning infoclient side managed; servers are not synchronizednone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Source-replica replicationyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency or Eventual Consistency
Foreign keys infoReferential integrityyesnonodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesSingle row ACID (across millions of columns)ACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, based on authentication and database rulesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACRole based authorization

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More resources
AgensGraphFirebase Realtime DatabaseHBaseOrigoDBXTDB infoformerly named Crux
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