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DBMS > HEAVY.AI vs. Microsoft Azure Synapse Analytics vs. Microsoft SQL Server vs. Quasardb vs. Sadas Engine

System Properties Comparison HEAVY.AI vs. Microsoft Azure Synapse Analytics vs. Microsoft SQL Server vs. Quasardb vs. Sadas Engine

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonQuasardb  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerMicrosofts flagship relational DBMSDistributed, high-performance timeseries databaseSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
azure.microsoft.com/­services/­synapse-analyticswww.microsoft.com/­en-us/­sql-serverquasar.aiwww.sadasengine.com
Technical documentationdocs.heavy.aidocs.microsoft.com/­azure/­synapse-analyticslearn.microsoft.com/­en-US/­sql/­sql-serverdoc.quasar.ai/­masterwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperHEAVY.AI, Inc.MicrosoftMicrosoftquasardbSADAS s.r.l.
Initial release20162016198920092006
Current release5.10, January 2022SQL Server 2022, November 20223.14.1, January 20248.0
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercialcommercial inforestricted free version is availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial infofree trial 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.
SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageC++ and CUDAC++C++C++C++
Server operating systemsLinuxhostedLinux
Windows
BSD
Linux
OS X
Windows
AIX
Linux
Windows
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binaryyes
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.nonoyesnono
Secondary indexesnoyesyesyes infowith tagsyes
SQL infoSupport of SQLyesyesyesSQL-like query languageyes
APIs and other access methodsJDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP APIJDBC
ODBC
Proprietary protocol
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C#
Java
PHP
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnoTransact SQLTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javanono
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinSharding, horizontal partitioningtables can be distributed across several files (horizontal partitioning); sharding through federationSharding infoconsistent hashinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyes, but depending on the SQL-Server EditionSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoTransient modeyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlfine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailAccess rights for users, groups and roles according to SQL-standard

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseMicrosoft SQL ServerQuasardbSadas Engine
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