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DBMS > LeanXcale vs. Microsoft Azure SQL Database vs. SingleStore vs. Yanza

System Properties Comparison LeanXcale vs. Microsoft Azure SQL Database vs. SingleStore vs. Yanza

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Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesDatabase as a Service offering with high compatibility to Microsoft SQL ServerMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeTime Series DBMS for IoT Applications
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Document store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#286  Overall
#41  Key-value stores
#130  Relational DBMS
Score72.95
Rank#16  Overall
#11  Relational DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitewww.leanxcale.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.singlestore.comyanza.com
Technical documentationdocs.microsoft.com/­en-us/­azure/­azure-sqldocs.singlestore.com
DeveloperLeanXcaleMicrosoftSingleStore Inc.Yanza
Initial release2015201020132015
Current releaseV128.5, January 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree developer edition availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenoyesnono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++, Go
Server operating systemshostedLinux info64 bit version requiredWindows
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 indexesyesyesno
SQL infoSupport of SQLyes infothrough Apache Derbyyesyes infobut no triggers and foreign keysno
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
JDBC
ODBC
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
HTTP API
Supported programming languagesC
Java
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Bash
C
C#
Java
JavaScript (Node.js)
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresTransact SQLyesno
Triggersyesnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesSharding infohash partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with always 3 replicas availableSource-replica replication infostores two copies of each physical data partition on two separate nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardFine grained access control via users, groups and rolesno

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More resources
LeanXcaleMicrosoft Azure SQL Database infoformerly SQL AzureSingleStore infoformer name was MemSQLYanza
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