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DBMS > Blueflood vs. Hive vs. MonetDB vs. Oracle Coherence vs. Sqrrl

System Properties Comparison Blueflood vs. Hive vs. MonetDB vs. Oracle Coherence vs. Sqrrl

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonHive  Xexclude from comparisonMonetDB  Xexclude from comparisonOracle Coherence  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionScalable TimeSeries DBMS based on Cassandradata warehouse software for querying and managing large distributed datasets, built on HadoopA relational database management system that stores data in columnsOracles in-memory data grid solutionAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelTime Series DBMSRelational DBMSRelational DBMSKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store
Spatial 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
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Websiteblueflood.iohive.apache.orgwww.monetdb.orgwww.oracle.com/­java/­coherencesqrrl.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikicwiki.apache.org/­confluence/­display/­Hive/­Homewww.monetdb.org/­Documentationdocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperRackspaceApache Software Foundation infoinitially developed by FacebookMonetDB BVOracleAmazon infooriginally Sqrrl Data, Inc.
Initial release20132012200420072012
Current release3.1.3, April 2022Dec2023 (11.49), December 202314.1, August 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2Open Source infoMozilla Public License 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaCJavaJava
Server operating systemsLinux
OS X
All OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
Data schemepredefined schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyes infoSQL 2003 with some extensionsnono
APIs and other access methodsHTTP RESTJDBC
ODBC
Thrift
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
JCache
JPA
RESTful HTTP API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC++
Java
PHP
Python
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C++
Java
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyes, in SQL, C, Rnono
Triggersnonoyesyes infoLive Eventsno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingSharding via remote tablesShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandraselectable replication factornone infoSource-replica replication available in experimental statusyes, with selectable consistency levelselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDconfigurableAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infooptionallyyes
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 rolesfine grained access rights according to SQL-standardauthentification to access the cache via certificates or http basic authenticationCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
BluefloodHiveMonetDBOracle CoherenceSqrrl
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