DBMS > Drizzle vs. Impala vs. Microsoft SQL Server
System Properties Comparison Drizzle vs. Impala vs. Microsoft SQL Server
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|Editorial information provided by DB-Engines|
|Name||Drizzle Xexclude from comparison||Impala Xexclude from comparison||Microsoft SQL Server Xexclude from comparison|
|Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.|
|Description||MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.||Analytic DBMS for Hadoop||Microsofts flagship relational DBMS|
|Primary database model||Relational DBMS||Relational DBMS||Relational DBMS|
|Secondary database models||Document store||Document store|
|Developer||Drizzle project, originally started by Brian Aker||Cloudera||Microsoft|
|Current release||7.2.4, September 2012||4.0.0, July 2021||SQL Server 2019, November 2019|
|License Commercial or Open Source||Open Source GNU GPL||Open Source Apache Version 2||commercial restricted free version is available|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||FreeBSD|
|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||yes|
|SQL Support of SQL||yes with proprietary extensions||SQL-like DML and DDL statements||yes|
|APIs and other access methods||JDBC||JDBC|
Tabular Data Stream (TDS)
|Supported programming languages||C|
|All languages supporting JDBC/ODBC||C#|
|Server-side scripts Stored procedures||no||yes user defined functions and integration of map-reduce||Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java|
|Triggers||no hooks for callbacks inside the server can be used.||no||yes|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding||tables can be distributed across several files (horizontal partitioning); sharding through federation|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication|
|selectable replication factor||yes, but depending on the SQL-Server Edition|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||yes query execution via MapReduce||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency||Immediate Consistency|
|Foreign keys Referential integrity||yes||no||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||no||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.||no||yes|
|User concepts Access control||Pluggable authentication mechanisms e.g. LDAP, HTTP||Access rights for users, groups and roles based on Apache Sentry and Kerberos||fine grained access rights according to SQL-standard|
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|Drizzle||Impala||Microsoft SQL Server|
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