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DBMS > Apache Kylin vs. Microsoft Azure SQL Database vs. Sequoiadb vs. Spark SQL vs. Transbase

System Properties Comparison Apache Kylin vs. Microsoft Azure SQL Database vs. Sequoiadb vs. Spark SQL vs. Transbase

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonSequoiadb  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackDatabase as a Service offering with high compatibility to Microsoft SQL ServerNewSQL database with distributed OLTP and SQLSpark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSRelational DBMSDocument store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websitekylin.apache.orgazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.sequoiadb.comspark.apache.org/­sqlwww.transaction.de/­en/­products/­transbase.html
Technical documentationkylin.apache.org/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqlwww.sequoiadb.com/­en/­index.php?m=Files&a=indexspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperApache Software Foundation, originally contributed from eBay IncMicrosoftSequoiadb Ltd.Apache Software FoundationTransaction Software GmbH
Initial release20152010201320141987
Current release3.1.0, July 2020V123.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoServer: AGPL; Client: Apache V2Open Source infoApache 2.0commercial infofree development license
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 languageJavaC++C++ScalaC and C++
Server operating systemsLinuxhostedLinuxLinux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infooid, date, timestamp, binary, regexyesyes
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.noyesnonono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yesSQL-like query languageSQL-like DML and DDL statementsyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
proprietary protocol using JSONJDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
PHP
Python
Java
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresTransact SQLJavaScriptnoyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with always 3 replicas availableSource-replica replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDDocument is locked during a transactionnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple password-based access controlnofine grained access rights according to SQL-standard

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More resources
Apache KylinMicrosoft Azure SQL Database infoformerly SQL AzureSequoiadbSpark SQLTransbase
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