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DBMS > LeanXcale vs. Microsoft SQL Server vs. mSQL vs. Riak KV

System Properties Comparison LeanXcale vs. Microsoft SQL Server vs. mSQL vs. Riak KV

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Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesMicrosofts flagship relational DBMSmSQL (Mini SQL) is a simple and lightweight RDBMSDistributed, fault tolerant key-value store
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#309  Overall
#41  Key-value stores
#140  Relational DBMS
Score912.51
Rank#3  Overall
#3  Relational DBMS
Score1.58
Rank#156  Overall
#73  Relational DBMS
Score6.09
Rank#69  Overall
#10  Key-value stores
Websitewww.leanxcale.comwww.microsoft.com/­en-us/­sql-serverhughestech.com.au/­products/­msqlriak.com/­products/­riak-kv
Technical documentationdocs.microsoft.com/­en-US/­sql/­sql-server
DeveloperLeanXcaleMicrosoftHughes TechnologiesBasho Technologies
Initial release2015198919942009
Current releaseSQL Server 2019, November 20194.4, October 20212.1.0, April 2015
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availablecommercial infofree licenses can be providedOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CErlang
Server operating systemsLinux
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.yesnono
Secondary indexesyesyesrestricted
SQL infoSupport of SQLyes infothrough Apache DerbyyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersno
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
HTTP API
Native Erlang Interface
Supported programming languagesC
Java
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C
C++
Delphi
Java
Perl
PHP
Tcl
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavanoJavaScript and Erlang
Triggersyesnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodestables can be distributed across several files (horizontal partitioning); sharding through federationnoneSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyes, but depending on the SQL-Server Editionnoneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integrityyesyesnono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnono
More information provided by the system vendor
LeanXcaleMicrosoft SQL ServermSQL infoMini SQLRiak KV
Specific characteristicsFull ACID and full SQL operational database with analytical queries over operational...
» more
Competitive advantagesLinear scalability upto 100s of nodes (tested with 100 nodes and TPC-C).
» more
Typical application scenariosHybrid Transactional-Analytical Processing (HTAP) requiring an operational database...
» more
Key customersbanking/finance/fintech, telco, insurance, traveltech, M2M/IoT, retail
» more
Market metrics15 beta testers
» more
Licensing and pricing modelsannual fee covering license and support based on number of physical cores
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
LeanXcaleMicrosoft SQL ServermSQL infoMini SQLRiak KV
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