DBMS > Kinetica vs. Microsoft Azure Synapse Analytics
System Properties Comparison Kinetica vs. Microsoft Azure Synapse Analytics
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|Editorial information provided by DB-Engines|
|Name||Kinetica Xexclude from comparison||Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse Xexclude from comparison|
|Description||Fully vectorized database across both GPUs and CPUs||Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server|
|Primary database model||Relational DBMS||Relational DBMS|
|Secondary database models||Spatial DBMS|
Time Series DBMS
|Current release||7.1, August 2021|
|License Commercial or Open Source||commercial||commercial|
|Cloud-based only Only available as a cloud service||no||yes|
|DBaaS offerings (sponsored links) Database as a Service|
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|Implementation language||C, C++||C++|
|Server operating systems||Linux||hosted|
|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||no|
|SQL Support of SQL||SQL-like DML and DDL statements||yes|
|APIs and other access methods||JDBC|
RESTful HTTP API
|Supported programming languages||C++|
|Server-side scripts Stored procedures||user defined functions||Transact SQL|
|Triggers||yes triggers when inserted values for one or more columns fall within a specified range||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding, horizontal partitioning|
|Replication methods Methods for redundantly storing data on multiple nodes||Source-replica replication||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 or Eventual Consistency depending on configuration||Immediate Consistency|
|Foreign keys Referential integrity||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||no||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.||yes GPU vRAM or System RAM|
|User concepts Access control||Access rights for users and roles on table level||yes|
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|Kinetica||Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse|
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Azure Synapse Analytics
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