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DBMS > Blueflood vs. IBM Db2 warehouse vs. Spark SQL vs. SQream DB

System Properties Comparison Blueflood vs. IBM Db2 warehouse vs. Spark SQL vs. SQream DB

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraCloud-based data warehousing serviceSpark SQL is a component on top of 'Spark Core' for structured data processinga GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websiteblueflood.iowww.ibm.com/­products/­db2/­warehousespark.apache.org/­sqlsqream.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikispark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.sqream.com
DeveloperRackspaceIBMApache Software FoundationSQream Technologies
Initial release2013201420142017
Current release3.5.0 ( 2.13), September 20232022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScalaC++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
OS X
hostedLinux
OS X
Windows
Linux
Data schemepredefined schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes, ANSI Standard SQL Types
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 infoImport/export of XML data possibleno
Secondary indexesnoyesnono
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsyes
APIs and other access methodsHTTP REST.NET Client API
JDBC
ODBC
OLE DB
JDBC
ODBC
.Net
JDBC
ODBC
Supported programming languagesJava
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Java
Python
R
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoPL/SQL, SQL PLnouser defined functions in Python
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingyes, utilizing Spark Corehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandrayesnonenone
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
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
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.noyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardno

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More resources
BluefloodIBM Db2 warehouse infoformerly named IBM dashDBSpark SQLSQream DB
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