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DBMS > Drizzle vs. Spark SQL vs. Valentina Server vs. Yaacomo

System Properties Comparison Drizzle vs. Spark SQL vs. Valentina Server vs. Yaacomo

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonSpark SQL  Xexclude from comparisonValentina Server  Xexclude from comparisonYaacomo  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.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Spark SQL is a component on top of 'Spark Core' for structured data processingObject-relational database and reports serverOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitespark.apache.org/­sqlwww.valentina-db.netyaacomo.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperDrizzle project, originally started by Brian AkerApache Software FoundationParadigma SoftwareQ2WEB GmbH
Initial release2008201419992009
Current release7.2.4, September 20123.5.0 ( 2.13), September 20235.7.5
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Scala
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Windows
Linux
OS X
Windows
Android
Linux
Windows
Data schemeyesyesyesyes
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.nono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like DML and DDL statementsyesyes
APIs and other access methodsJDBCJDBC
ODBC
ODBCJDBC
ODBC
Supported programming languagesC
C++
Java
PHP
Java
Python
R
Scala
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnonoyes
Triggersno infohooks for callbacks inside the server can be used.noyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark Corehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
DrizzleSpark SQLValentina ServerYaacomo
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