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DBMS > Blueflood vs. H2 vs. MonetDB vs. Solr

System Properties Comparison Blueflood vs. H2 vs. MonetDB vs. Solr

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonH2  Xexclude from comparisonMonetDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A relational database management system that stores data in columnsA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelTime Series DBMSRelational DBMSRelational DBMSSearch engine
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websiteblueflood.iowww.h2database.comwww.monetdb.orgsolr.apache.org
Technical documentationgithub.com/­rax-maas/­blueflood/­wikiwww.h2database.com/­html/­main.htmlwww.monetdb.org/­Documentationsolr.apache.org/­resources.html
DeveloperRackspaceThomas MuellerMonetDB BVApache Software Foundation
Initial release2013200520042006
Current release2.2.220, July 2023Dec2023 (11.49), December 20239.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoMozilla Public License 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaCJava
Server operating systemsLinux
OS X
All OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemepredefined schemeyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typing
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.nonoyes
Secondary indexesnoyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyesyes infoSQL 2003 with some extensionsSolr Parallel SQL Interface
APIs and other access methodsHTTP RESTJDBC
ODBC
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languagesJavaC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined Functionsyes, in SQL, C, RJava plugins
Triggersnoyesyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandranoneSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraWith clustering: 2 database servers on different computers operate on identical copies of a databasenone infoSource-replica replication available in experimental statusyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.noyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes

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More resources
BluefloodH2MonetDBSolr
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