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DBMS > Brytlyt vs. Firebase Realtime Database vs. HEAVY.AI vs. Postgres-XL

System Properties Comparison Brytlyt vs. Firebase Realtime Database vs. HEAVY.AI vs. Postgres-XL

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitebrytlyt.iofirebase.google.com/­products/­realtime-databasegithub.com/­heavyai/­heavydb
www.heavy.ai
www.postgres-xl.org
Technical documentationdocs.brytlyt.iofirebase.google.com/­docs/­databasedocs.heavy.aiwww.postgres-xl.org/­documentation
DeveloperBrytlytGoogle infoacquired by Google 2014HEAVY.AI, Inc.
Initial release2016201220162014 infosince 2012, originally named StormDB
Current release5.0, August 20235.10, January 202210 R1, October 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAC++ and CUDAC
Server operating systemsLinux
OS X
Windows
hostedLinuxLinux
macOS
Data schemeyesschema-freeyesyes
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.yes infospecific XML-type available, but no XML query functionality.nonoyes infoXML type, but no XML query functionality
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesnoyesyes infodistributed, parallel query execution
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Android
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Java
JavaScript
Objective-C
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLlimited functionality with using 'rules'nouser defined functions
TriggersyesCallbacks are triggered when data changesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoACID infoMVCC
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.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, based on authentication and database rulesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
BrytlytFirebase Realtime DatabaseHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Postgres-XL
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