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DBMS > Blueflood vs. Citus vs. Firebase Realtime Database vs. HugeGraph

System Properties Comparison Blueflood vs. Citus vs. Firebase Realtime Database vs. HugeGraph

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonCitus  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHugeGraph  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A fast-speed and highly-scalable Graph DBMS
Primary database modelTime Series DBMSRelational DBMSDocument storeGraph DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Websiteblueflood.iowww.citusdata.comfirebase.google.com/­products/­realtime-databasegithub.com/­hugegraph
hugegraph.apache.org
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidocs.citusdata.comfirebase.google.com/­docs/­databasehugegraph.apache.org/­docs
DeveloperRackspaceGoogle infoacquired by Google 2014Baidu
Initial release2013201020122018
Current release8.1, December 20180.9
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL, commercial license also availablecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJava
Server operating systemsLinux
OS X
LinuxhostedLinux
macOS
Unix
Data schemepredefined schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyes infospecific XML type available, but no XML query functionalitynono
Secondary indexesnoyesyesyes infoalso supports composite index and range index
SQL infoSupport of SQLnoyes infostandard, with numerous extensionsnono
APIs and other access methodsHTTP RESTADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Android
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
JavaScript
Objective-C
Groovy
Java
Python
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.limited functionality with using 'rules'asynchronous Gremlin script jobs
TriggersnoyesCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replication infoother methods possible by using 3rd party extensionsyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononovia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency
Foreign keys infoReferential integritynoyesnoyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyesACID
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.nonoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardyes, based on authentication and database rulesUsers, roles and permissions

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More resources
BluefloodCitusFirebase Realtime DatabaseHugeGraph
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

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