DBMS > MarkLogic vs. Microsoft SQL Server vs. Sequoiadb
System Properties Comparison MarkLogic vs. Microsoft SQL Server vs. Sequoiadb
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|Editorial information provided by DB-Engines|
|Name||MarkLogic Xexclude from comparison||Microsoft SQL Server Xexclude from comparison||Sequoiadb Xexclude from comparison|
|Description||Operational and transactional Enterprise NoSQL database||Microsofts flagship relational DBMS||NewSQL database with distributed OLTP and SQL|
|Primary database model||Document store|
Native XML DBMS
RDF store as of version 7
|Relational DBMS||Document store|
|Secondary database models||Document store|
|Developer||MarkLogic Corp.||Microsoft||Sequoiadb Ltd.|
|Current release||9.0, 2017||SQL Server 2019, November 2019|
|License Commercial or Open Source||commercial restricted free version is available||commercial restricted free version is available||Open Source Server: AGPL; Client: Apache V2|
|Cloud-based only Only available as a cloud service||no||no||no|
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|Server operating systems||Linux|
|Data scheme||schema-free Schema can be enforced||yes||schema-free|
|Typing predefined data types such as float or date||yes||yes||yes oid, date, timestamp, binary, regex|
|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.||yes||yes||no|
|SQL Support of SQL||yes SQL92||yes||SQL-like query language|
|APIs and other access methods||Java API|
Node.js Client API
proprietary Optic API Proprietary Query API, introduced with version 9
RESTful HTTP API
Tabular Data Stream (TDS)
|proprietary protocol using JSON|
|Supported programming languages||C|
|Partitioning methods Methods for storing different data on different nodes||Sharding||tables can be distributed across several files (horizontal partitioning); sharding through federation||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||yes, but depending on the SQL-Server Edition||Source-replica replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes via Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency||Eventual Consistency|
|Foreign keys Referential integrity||no||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID can act as a resource manager in an XA/JTA transaction||ACID||Document is locked during a transaction|
|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, with Range Indexes||yes||no|
|User concepts Access control||Role-based access control at the document and subdocument levels||fine grained access rights according to SQL-standard||simple password-based access control|
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|MarkLogic||Microsoft SQL Server||Sequoiadb|
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