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DBMS > AlaSQL vs. Blueflood vs. Spark SQL vs. Valentina Server

System Properties Comparison AlaSQL vs. Blueflood vs. Spark SQL vs. Valentina Server

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonBlueflood  Xexclude from comparisonSpark SQL  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionJavaScript DBMS libraryScalable TimeSeries DBMS based on CassandraSpark SQL is a component on top of 'Spark Core' for structured data processingObject-relational database and reports server
Primary database modelDocument store
Relational DBMS
Time Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitealasql.orgblueflood.iospark.apache.org/­sqlwww.valentina-db.net
Technical documentationgithub.com/­AlaSQL/­alasqlgithub.com/­rax-maas/­blueflood/­wikispark.apache.org/­docs/­latest/­sql-programming-guide.htmlvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperAndrey Gershun & Mathias R. WulffRackspaceApache Software FoundationParadigma Software
Initial release2014201320141999
Current release3.5.0 ( 2.13), September 20235.7.5
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptJavaScala
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freepredefined schemeyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nonono
Secondary indexesnononoyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noSQL-like DML and DDL statementsyes
APIs and other access methodsJavaScript APIHTTP RESTJDBC
ODBC
ODBC
Supported programming languagesJavaScriptJava
Python
R
Scala
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnononoyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on Cassandrayes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infobased on Cassandranone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlnononofine grained access rights according to SQL-standard

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More resources
AlaSQLBluefloodSpark SQLValentina Server
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