DBMS > Dolt vs. HyperSQL vs. Microsoft Azure Synapse Analytics
System Properties Comparison Dolt vs. HyperSQL vs. Microsoft Azure Synapse Analytics
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|Editorial information provided by DB-Engines|
|Name||Dolt Xexclude from comparison||HyperSQL also known as HSQLDB Xexclude from comparison||Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse Xexclude from comparison|
|Description||A MySQL compatible DBMS with Git-like versioning of data and schema||Multithreaded, transactional RDBMS written in Java also known as HSQLDB||Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server|
|Primary database model||Relational DBMS||Relational DBMS||Relational DBMS|
|Secondary database models||Document store|
|Current release||2.7.2, June 2023|
|License Commercial or Open Source||Open Source Apache Version 2.0||Open Source based on BSD license||commercial|
|Cloud-based only Only available as a cloud service||no||no||yes|
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|Server operating systems||Linux|
|All OS with a Java VM Embedded (into Java applications) and Client-Server operating modes||hosted|
|Typing predefined data types such as float or date||yes||yes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||no||no|
|SQL Support of SQL||yes||yes||yes|
|APIs and other access methods||CLI Client|
|HTTP API JDBC via HTTP|
|Supported programming languages||Ada|
|All languages supporting JDBC/ODBC|
|Server-side scripts Stored procedures||yes currently in alpha release||Java, SQL||Transact SQL|
|Partitioning methods Methods for storing different data on different nodes||none||none||Sharding, horizontal partitioning|
|Replication methods Methods for redundantly storing data on multiple nodes||A database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.||none||yes|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||yes||yes||no docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-table-constraints|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes|
|User concepts Access control||Only one user is configurable, and must be specified in the config file at startup||fine grained access rights according to SQL-standard||yes|
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|Dolt||HyperSQL also known as HSQLDB||Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse|
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