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DBMS > MarkLogic vs. Microsoft Azure SQL Database vs. NSDb vs. Sadas Engine vs. Spark SQL

System Properties Comparison MarkLogic vs. Microsoft Azure SQL Database vs. NSDb vs. Sadas Engine vs. Spark SQL

Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonNSDb  Xexclude from comparisonSadas Engine  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionOperational and transactional Enterprise NoSQL databaseDatabase as a Service offering with high compatibility to Microsoft SQL ServerScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.marklogic.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasensdb.iowww.sadasengine.comspark.apache.org/­sql
Technical documentationdocs.marklogic.comdocs.microsoft.com/­en-us/­azure/­azure-sqlnsdb.io/­Architecturewww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperMarkLogic Corp.MicrosoftSADAS s.r.l.Apache Software Foundation
Initial release20012010201720062014
Current release11.0, December 2022V128.03.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial inforestricted free version is availablecommercialOpen Source infoApache Version 2.0commercial infofree trial version availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++Java, ScalaC++Scala
Server operating systemsLinux
OS X
Windows
hostedLinux
macOS
AIX
Linux
Windows
Linux
OS X
Windows
Data schemeschema-free infoSchema can be enforcedyesyesyes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyesyes
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.yesyesnonono
Secondary indexesyesyesall fields are automatically indexedyesno
SQL infoSupport of SQLyes infoSQL92yesSQL-like query languageyesSQL-like DML and DDL statements
APIs and other access methodsJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
ADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
JDBC
ODBC
Proprietary protocol
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Scala
.Net
C
C#
C++
Groovy
Java
PHP
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptTransact SQLnonono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, with always 3 replicas availablenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, with Range Indexesyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlRole-based access control at the document and subdocument levelsfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardno

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More resources
MarkLogicMicrosoft Azure SQL Database infoformerly SQL AzureNSDbSadas EngineSpark SQL
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