DBMS > Drizzle vs. KairosDB vs. Microsoft SQL Server vs. ToroDB
System Properties Comparison Drizzle vs. KairosDB vs. Microsoft SQL Server vs. ToroDB
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|Editorial information provided by DB-Engines|
|Name||Drizzle Xexclude from comparison||KairosDB Xexclude from comparison||Microsoft SQL Server Xexclude from comparison||ToroDB 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.||Distributed Time Series DBMS based on Cassandra or H2||Microsofts flagship relational DBMS||A MongoDB-compatible JSON document store, built on top of PostgreSQL|
|Primary database model||Relational DBMS||Time Series DBMS||Relational DBMS||Document store|
|Secondary database models||Document store|
|Developer||Drizzle project, originally started by Brian Aker||Microsoft||8Kdata|
|Current release||7.2.4, September 2012||1.2.2, November 2018||SQL Server 2019, November 2019|
|License Commercial or Open Source||Open Source GNU GPL||Open Source Apache 2.0||commercial restricted free version is available||Open Source AGPL-V3|
|Cloud-based only Only available as a cloud service||no||no||no||no|
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|Server operating systems||FreeBSD|
|All OS with a Java 7 VM|
|Typing predefined data types such as float or date||yes||yes||yes||yes string, integer, double, boolean, date, object_id|
|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||no|
|SQL Support of SQL||yes with proprietary extensions||no||yes|
|APIs and other access methods||JDBC||Graphite protocol|
Tabular Data Stream (TDS)
|Supported programming languages||C|
|Server-side scripts Stored procedures||no||no||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||no|
|Partitioning methods Methods for storing different data on different nodes||Sharding||Sharding based on Cassandra||tables can be distributed across several files (horizontal partitioning); sharding through federation||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication|
|selectable replication factor based on Cassandra||yes, but depending on the SQL-Server Edition||Source-replica replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency based on Cassandra|
Immediate Consistency based on Cassandra
|Immediate Consistency||Eventual Consistency|
|Foreign keys Referential integrity||yes||no||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||no||ACID||no|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes||yes|
|Durability Support for making data persistent||yes||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||simple password-based access control||fine grained access rights according to SQL-standard||Access rights for users and roles|
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|Drizzle||KairosDB||Microsoft SQL Server||ToroDB|
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