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DBMS > Blueflood vs. Hive vs. VelocityDB vs. Yanza

System Properties Comparison Blueflood vs. Hive vs. VelocityDB vs. Yanza

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonHive  Xexclude from comparisonVelocityDB  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionScalable TimeSeries DBMS based on Cassandradata warehouse software for querying and managing large distributed datasets, built on HadoopA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)Time Series DBMS for IoT Applications
Primary database modelTime Series DBMSRelational DBMSGraph DBMS
Object oriented DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websiteblueflood.iohive.apache.orgvelocitydb.comyanza.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikicwiki.apache.org/­confluence/­display/­Hive/­Homevelocitydb.com/­UserGuide
DeveloperRackspaceApache Software Foundation infoinitially developed by FacebookVelocityDB IncYanza
Initial release2013201220112015
Current release3.1.3, April 20227.x
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2commercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC#
Server operating systemsLinux
OS X
All OS with a Java VMAny that supports .NETWindows
Data schemepredefined schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesnoyesyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnono
APIs and other access methodsHTTP RESTJDBC
ODBC
Thrift
.NetHTTP API
Supported programming languagesC++
Java
PHP
Python
.Netany language that supports HTTP calls
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducenono
TriggersnonoCallbacks are triggered when data changesyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandraselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
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.noyes
User concepts infoAccess controlnoAccess rights for users, groups and rolesBased on Windows Authenticationno

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More resources
BluefloodHiveVelocityDBYanza
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