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DBMS > Drizzle vs. SAP SQL Anywhere vs. SiriDB vs. Spark SQL

System Properties Comparison Drizzle vs. SAP SQL Anywhere vs. SiriDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSiriDB  Xexclude from comparisonSpark SQL  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.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.RDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsOpen Source Time Series DBMSSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.sap.com/­products/­technology-platform/­sql-anywhere.htmlsiridb.comspark.apache.org/­sql
Technical documentationhelp.sap.com/­docs/­SAP_SQL_Anywheredocs.siridb.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDrizzle project, originally started by Brian AkerSAP infoformerly SybaseCesbitApache Software Foundation
Initial release2008199220172014
Current release7.2.4, September 201217, July 20153.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoMIT LicenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CScala
Server operating systemsFreeBSD
Linux
OS X
AIX
HP-UX
Linux
OS X
Solaris
Windows
LinuxLinux
OS X
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyes infoNumeric datayes
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 indexesyesyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsyesnoSQL-like DML and DDL statements
APIs and other access methodsJDBCADO.NET
HTTP API
JDBC
ODBC
HTTP APIJDBC
ODBC
Supported programming languagesC
C++
Java
PHP
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyes, in C/C++, Java, .Net or Perlnono
Triggersno infohooks for callbacks inside the server can be used.yesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replication infoDatabase mirroringyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 controlPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardsimple rights management via user accountsno

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More resources
DrizzleSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSiriDBSpark SQL
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