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DBMS > AgensGraph vs. Firebase Realtime Database vs. Kdb vs. OrigoDB vs. TerarkDB

System Properties Comparison AgensGraph vs. Firebase Realtime Database vs. Kdb vs. OrigoDB vs. TerarkDB

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonKdb  Xexclude from comparisonOrigoDB  Xexclude from comparisonTerarkDB  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.High performance Time Series DBMSA fully ACID in-memory object graph databaseA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelGraph DBMS
Relational DBMS
Document storeTime Series DBMS
Vector DBMS
Document store
Object oriented DBMS
Key-value store
Secondary database modelsRelational DBMS
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
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitebitnine.net/­agensgraphfirebase.google.com/­products/­realtime-databasekx.comorigodb.comgithub.com/­bytedance/­terarkdb
Technical documentationbitnine.net/­documentationfirebase.google.com/­docs/­databasecode.kx.comorigodb.com/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperBitnine Global Inc.Google infoacquired by Google 2014Kx Systems, a division of First Derivatives plcRobert Friberg et alByteDance, originally Terark
Initial release201620122000 infokdb was released 2000, kdb+ in 20032009 infounder the name LiveDB2016
Current release2.1, December 20183.6, May 2018
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercial infofree 32-bit versionOpen Sourcecommercial inforestricted open source version available
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 languageCqC#C++
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Solaris
Windows
Linux
Windows
Data schemedepending on used data modelschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collectionsno
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.nonoyesno infocan be achieved using .NETno
Secondary indexesyesyesyes infotable attribute 'grouped'yesno
SQL infoSupport of SQLyesnoSQL-like query language (q)nono
APIs and other access methodsCypher Query Language
JDBC
Android
iOS
JavaScript API
RESTful HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
.NET Client API
HTTP API
LINQ
C++ API
Java API
Supported programming languagesC
Java
JavaScript
Python
Java
JavaScript
Objective-C
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.NetC++
Java
Server-side scripts infoStored proceduresyeslimited functionality with using 'rules'user defined functionsyesno
TriggersnoCallbacks are triggered when data changesyes infowith viewsyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancehorizontal partitioninghorizontal partitioning infoclient side managed; servers are not synchronizednone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infosimilar paradigm used for internal processingnono
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
Foreign keys infoReferential integrityyesnoyesdepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, based on authentication and database rulesrights management via user accountsRole based authorizationno
More information provided by the system vendor
AgensGraphFirebase Realtime DatabaseKdbOrigoDBTerarkDB
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
AgensGraphFirebase Realtime DatabaseKdbOrigoDBTerarkDB
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