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DBMS > Firebase Realtime Database vs. Kinetica vs. Postgres-XL vs. Quasardb

System Properties Comparison Firebase Realtime Database vs. Kinetica vs. Postgres-XL vs. Quasardb

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonKinetica  Xexclude from comparisonPostgres-XL  Xexclude from comparisonQuasardb  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.Fully vectorized database across both GPUs and CPUsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresDistributed, high-performance timeseries database
Primary database modelDocument storeRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.kinetica.comwww.postgres-xl.orgquasar.ai
Technical documentationfirebase.google.com/­docs/­databasedocs.kinetica.comwww.postgres-xl.org/­documentationdoc.quasar.ai/­master
DeveloperGoogle infoacquired by Google 2014Kineticaquasardb
Initial release201220122014 infosince 2012, originally named StormDB2009
Current release7.1, August 202110 R1, October 20183.14.1, January 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMozilla public licensecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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 languageC, C++CC++
Server operating systemshostedLinuxLinux
macOS
BSD
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binary
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 infoXML type, but no XML query functionalityno
Secondary indexesyesyesyesyes infowith tags
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes infodistributed, parallel query executionSQL-like query language
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
Supported programming languagesJava
JavaScript
Objective-C
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored procedureslimited functionality with using 'rules'user defined functionsuser defined functionsno
TriggersCallbacks are triggered when data changesyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration
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 Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMnoyes infoTransient mode
User concepts infoAccess controlyes, based on authentication and database rulesAccess rights for users and roles on table levelfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trail

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More resources
Firebase Realtime DatabaseKineticaPostgres-XLQuasardb
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