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DBMS > Crux vs. Microsoft SQL Server

System Properties Comparison Crux vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameCrux  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionCrux is a general purpose database with bitemporal SQL and Datalog and graph queriesMicrosofts flagship relational DBMS
Primary database modelDocument storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#315  Overall
#42  Document stores
Score973.35
Rank#3  Overall
#3  Relational DBMS
Websitegithub.com/­juxt/­crux
opencrux.com
www.microsoft.com/­en-us/­sql-server
Technical documentationopencrux.com/­reference/­installation.htmldocs.microsoft.com/­en-US/­sql/­sql-server
DeveloperJuxt Ltd.Microsoft
Initial release20191989
Current release1.12.1, September 2020SQL Server 2019, November 2019
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageClojureC++
Server operating systemsAll OS with a Java 8 (and higher) VM
Linux
Linux
Windows
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateyes, extensible-data-notation formatyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyes
Secondary indexesyesyes
SQL infoSupport of SQLlimited SQL, making use of Apache Calciteyes
APIs and other access methodsHTTP REST
JDBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesClojure
Java
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesnonetables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesyes, each node contains all datayes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standard

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