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DBMS > Apache Drill vs. Drizzle vs. Kingbase vs. Microsoft Azure SQL Database

System Properties Comparison Apache Drill vs. Drizzle vs. Kingbase vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonDrizzle  Xexclude from comparisonKingbase  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.An enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Database as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.02
Rank#124  Overall
#22  Document stores
#59  Relational DBMS
Score0.50
Rank#257  Overall
#119  Relational DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Websitedrill.apache.orgwww.kingbase.com.cnazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationdrill.apache.org/­docsdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperApache Software FoundationDrizzle project, originally started by Brian AkerBeiJing KINGBASE Information technologies inc.Microsoft
Initial release2012200819992010
Current release1.20.3, January 20237.2.4, September 2012V8.0, August 2021V12
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoGNU GPLcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and JavaC++
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
Linux
Windows
hosted
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyes infowith proprietary extensionsStandard with numerous extensionsyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
ADO.NET
JDBC
ODBC
Supported programming languagesC++C
C++
Java
PHP
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsnouser defined functionsTransact SQL
Triggersnono infohooks for callbacks inside the server can be used.yesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning (by range, list and hash) and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data source
User concepts infoAccess controlDepending on the underlying data sourcePluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache DrillDrizzleKingbaseMicrosoft Azure SQL Database infoformerly SQL Azure
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