DBMS > Microsoft Azure Synapse Analytics vs. Snowflake
System Properties Comparison Microsoft Azure Synapse Analytics vs. Snowflake
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|Editorial information provided by DB-Engines|
|Name||Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse Xexclude from comparison||Snowflake Xexclude from comparison|
|Description||Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server||Cloud-based data warehousing service for structured and semi-structured data|
|Primary database model||Relational DBMS||Relational DBMS|
|Developer||Microsoft||Snowflake Computing Inc.|
|License Commercial or Open Source||commercial||commercial|
|Cloud-based only Only available as a cloud service||yes||yes|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||hosted||hosted|
|Data scheme||yes||yes support of semi-structured data formats (JSON, XML, Avro)|
|Typing predefined data types such as float or date||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||yes|
|SQL Support of SQL||yes||yes|
|APIs and other access methods||ADO.NET|
|Supported programming languages||C#|
|Server-side scripts Stored procedures||Transact SQL||user defined functions|
|Triggers||no||no similar concept for controling cloud resources|
|Partitioning methods Methods for storing different data on different nodes||Sharding, horizontal partitioning||yes|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||yes|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-table-constraints||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes|
|Durability Support for making data persistent||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no|
|User concepts Access control||yes||Users with fine-grained authorization concept, user roles and pluggable authentication|
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|Related products and services|
|3rd parties||DBHawk: Secure access to SQL, NoSQL and Cloud databases with an all-in-one solution.|
CData: Connect to Big Data & NoSQL through standard Drivers.
SQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse||Snowflake|
|DB-Engines blog posts|