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DBMS > Blueflood vs. Hive vs. Quasardb vs. Splunk vs. VelocityDB

System Properties Comparison Blueflood vs. Hive vs. Quasardb vs. Splunk vs. VelocityDB

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonHive  Xexclude from comparisonQuasardb  Xexclude from comparisonSplunk  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on Cassandradata warehouse software for querying and managing large distributed datasets, built on HadoopDistributed, high-performance timeseries databaseAnalytics Platform for Big DataA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSSearch engineGraph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score89.10
Rank#14  Overall
#2  Search engines
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websiteblueflood.iohive.apache.orgquasar.aiwww.splunk.comvelocitydb.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikicwiki.apache.org/­confluence/­display/­Hive/­Homedoc.quasar.ai/­masterdocs.splunk.com/­Documentation/­Splunkvelocitydb.com/­UserGuide
DeveloperRackspaceApache Software Foundation infoinitially developed by FacebookquasardbSplunk Inc.VelocityDB Inc
Initial release20132012200920032011
Current release3.1.3, April 20223.14.1, January 20247.x
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial infoLimited free edition and free developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++C#
Server operating systemsLinux
OS X
All OS with a Java VMBSD
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Any that supports .NET
Data schemepredefined schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infointeger and binaryyesyes
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.nonoyesno
Secondary indexesnoyesyes infowith tagsyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query languageno infoSplunk Search Processing Language for search commandsno
APIs and other access methodsHTTP RESTJDBC
ODBC
Thrift
HTTP APIHTTP REST.Net
Supported programming languagesC++
Java
PHP
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
Java
JavaScript
PHP
Python
Ruby
.Net
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducenoyesno
TriggersnononoyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingSharding infoconsistent hashingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandraselectable replication factorSource-replica replication with selectable replication factorMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducewith Hadoop integrationyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modenoyes
User concepts infoAccess controlnoAccess rights for users, groups and rolesCryptographically strong user authentication and audit trailAccess rights for users and rolesBased on Windows Authentication

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More resources
BluefloodHiveQuasardbSplunkVelocityDB
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