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DBMS > Databend vs. HEAVY.AI vs. Microsoft SQL Server vs. Sadas Engine vs. YottaDB

System Properties Comparison Databend vs. HEAVY.AI vs. Microsoft SQL Server vs. Sadas Engine vs. YottaDB

Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSadas Engine  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareMicrosofts flagship relational DBMSSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsA fast and solid embedded Key-value store
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMSKey-value store
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#283  Overall
#130  Relational DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitegithub.com/­datafuselabs/­databend
www.databend.com
github.com/­heavyai/­heavydb
www.heavy.ai
www.microsoft.com/­en-us/­sql-serverwww.sadasengine.comyottadb.com
Technical documentationdocs.databend.comdocs.heavy.ailearn.microsoft.com/­en-US/­sql/­sql-serverwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationyottadb.com/­resources/­documentation
DeveloperDatabend LabsHEAVY.AI, Inc.MicrosoftSADAS s.r.l.YottaDB, LLC
Initial release20212016198920062001
Current release1.0.59, April 20235.10, January 2022SQL Server 2022, November 20228.0
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; enterprise edition availablecommercial inforestricted free version is availablecommercial infofree trial version availableOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustC++ and CUDAC++C++C
Server operating systemshosted
Linux
macOS
LinuxLinux
Windows
AIX
Linux
Windows
Docker
Linux
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesnonoyesyesno
SQL infoSupport of SQLyesyesyesyesby using the Octo plugin
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
Proprietary protocol
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
All languages supporting JDBC/ODBC/Thrift
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net
C
C#
C++
Groovy
Java
PHP
Python
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnonoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robintables can be distributed across several files (horizontal partitioning); sharding through federationhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationyes, but depending on the SQL-Server Editionnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardUsers and groups based on OS-security mechanisms

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More resources
DatabendHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Microsoft SQL ServerSadas EngineYottaDB
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