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

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

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonJaguarDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraPerformant, highly scalable DBMS for AI and IoT applicationsSpark SQL is a component on top of 'Spark Core' for structured data processingObject-relational database and reports server
Primary database modelTime Series DBMSKey-value store
Vector DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websiteblueflood.iowww.jaguardb.comspark.apache.org/­sqlwww.valentina-db.net
Technical documentationgithub.com/­rax-maas/­blueflood/­wikiwww.jaguardb.com/­support.htmlspark.apache.org/­docs/­latest/­sql-programming-guide.htmlvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperRackspaceDataJaguar, Inc.Apache Software FoundationParadigma Software
Initial release2013201520141999
Current release3.3 July 20233.5.0 ( 2.13), September 20235.7.5
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL V3.0Open 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 languageJavaC++ infothe server part. Clients available in other languagesScala
Server operating systemsLinux
OS X
LinuxLinux
OS X
Windows
Linux
OS X
Windows
Data schemepredefined schemeyesyesyes
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.nonono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-like DML and DDL statementsyes
APIs and other access methodsHTTP RESTJDBC
ODBC
JDBC
ODBC
ODBC
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Java
Python
R
Scala
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnononoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
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.nononoyes
User concepts infoAccess controlnorights management via user accountsnofine grained access rights according to SQL-standard

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More resources
BluefloodJaguarDBSpark SQLValentina Server
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