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DBMS > chDB vs. HEAVY.AI vs. Microsoft Azure SQL Database vs. Yaacomo

System Properties Comparison chDB vs. HEAVY.AI vs. Microsoft Azure SQL Database vs. Yaacomo

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Editorial information provided by DB-Engines
NamechDB  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 comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionAn embedded SQL OLAP Engine powered by ClickHouseA 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 ServerOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.05
Rank#358  Overall
#152  Relational DBMS
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score72.95
Rank#16  Overall
#11  Relational DBMS
Websitegithub.com/­chdb-io/­chdbgithub.com/­heavyai/­heavydb
www.heavy.ai
azure.microsoft.com/­en-us/­products/­azure-sql/­databaseyaacomo.com
Technical documentationdoc.chdb.iodocs.heavy.aidocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperHEAVY.AI, Inc.MicrosoftQ2WEB GmbH
Initial release2023201620102009
Current release5.10, January 2022V12
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; enterprise edition availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAC++
Server operating systemsserver-lessLinuxhostedAndroid
Linux
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyesno
Secondary indexesnoyesyes
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)yesyesyes
APIs and other access methodsJDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesBun
C
C++
Go
JavaScript (Node.js)
Python
Rust
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoTransact SQL
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes, with always 3 replicas availableSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
chDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Microsoft Azure SQL Database infoformerly SQL AzureYaacomo
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Recent citations in the news

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Dr. Mike Flaxman, VP or Product Management at HEAVY.AI – Interview Series
19 September 2024, Unite.AI

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19 April 2023, Business Wire

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