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DBMS > Brytlyt vs. Drizzle vs. HEAVY.AI vs. Microsoft Azure SQL Database

System Properties Comparison Brytlyt vs. Drizzle vs. HEAVY.AI vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonDrizzle  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#279  Overall
#126  Relational DBMS
Score2.10
Rank#126  Overall
#61  Relational DBMS
Score78.40
Rank#15  Overall
#10  Relational DBMS
Websitebrytlyt.iogithub.com/­heavyai/­heavydb
www.heavy.ai
azure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationdocs.brytlyt.iodocs.heavy.aidocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperBrytlytDrizzle project, originally started by Brian AkerHEAVY.AI, Inc.Microsoft
Initial release2016200820162010
Current release5.0, August 20237.2.4, September 20125.10, January 2022V12
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLOpen Source infoApache Version 2; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAC++C++ and CUDAC++
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
Linuxhosted
Data schemeyesyesyesyes
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.noyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesyes infowith proprietary extensionsyesyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCJDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C++
Java
PHP
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnonoTransact SQL
Triggersyesno infohooks for callbacks inside the server can be used.noyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replicationyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
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.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
BrytlytDrizzleHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Microsoft Azure SQL Database infoformerly SQL Azure
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