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DBMS > Blueflood vs. Hive vs. Prometheus vs. Quasardb vs. Spark SQL

System Properties Comparison Blueflood vs. Hive vs. Prometheus vs. Quasardb vs. Spark SQL

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonHive  Xexclude from comparisonPrometheus  Xexclude from comparisonQuasardb  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on Cassandradata warehouse software for querying and managing large distributed datasets, built on HadoopOpen-source Time Series DBMS and monitoring systemDistributed, high-performance timeseries databaseSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSTime Series DBMSRelational 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
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteblueflood.iohive.apache.orgprometheus.ioquasar.aispark.apache.org/­sql
Technical documentationgithub.com/­rax-maas/­blueflood/­wikicwiki.apache.org/­confluence/­display/­Hive/­Homeprometheus.io/­docsdoc.quasar.ai/­masterspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperRackspaceApache Software Foundation infoinitially developed by FacebookquasardbApache Software Foundation
Initial release20132012201520092014
Current release3.1.3, April 20223.14.1, January 20243.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2Open Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaGoC++Scala
Server operating systemsLinux
OS X
All OS with a Java VMLinux
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Windows
Data schemepredefined schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes infointeger and binaryyes
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 of XML data possiblenono
Secondary indexesnoyesnoyes infowith tagsno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsHTTP RESTJDBC
ODBC
Thrift
RESTful HTTP/JSON APIHTTP APIJDBC
ODBC
Supported programming languagesC++
Java
PHP
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducenonono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingShardingSharding infoconsistent hashingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandraselectable replication factoryes infoby FederationSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoTransient modeno
User concepts infoAccess controlnoAccess rights for users, groups and rolesnoCryptographically strong user authentication and audit trailno

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More resources
BluefloodHivePrometheusQuasardbSpark SQL
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