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DBMS > Blueflood vs. Drizzle vs. IBM Db2 warehouse

System Properties Comparison Blueflood vs. Drizzle vs. IBM Db2 warehouse

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonDrizzle  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  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.
DescriptionScalable TimeSeries DBMS based on CassandraMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Cloud-based data warehousing service
Primary database modelTime Series 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
Websiteblueflood.iowww.ibm.com/­products/­db2/­warehouse
Technical documentationgithub.com/­rax-maas/­blueflood/­wiki
DeveloperRackspaceDrizzle project, originally started by Brian AkerIBM
Initial release201320082014
Current release7.2.4, September 2012
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGNU GPLcommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsLinux
OS X
FreeBSD
Linux
OS X
hosted
Data schemepredefined schemeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 possible
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsyes
APIs and other access methodsHTTP RESTJDBC.NET Client API
JDBC
ODBC
OLE DB
Supported programming languagesC
C++
Java
PHP
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresnonoPL/SQL, SQL PL
Triggersnono infohooks for callbacks inside the server can be used.yes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
yes
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 Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standard

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More resources
BluefloodDrizzleIBM Db2 warehouse infoformerly named IBM dashDB
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