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DBMS > FeatureBase vs. MonetDB vs. Solr

System Properties Comparison FeatureBase vs. MonetDB vs. Solr

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonMonetDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.A relational database management system that stores data in columnsA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitewww.featurebase.comwww.monetdb.orgsolr.apache.org
Technical documentationdocs.featurebase.comwww.monetdb.org/­Documentationsolr.apache.org/­resources.html
DeveloperMolecula and Pilosa Open Source ContributorsMonetDB BVApache Software Foundation
Initial release201720042006
Current release2022, May 2022Dec2023 (11.49), December 20239.6.0, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoMozilla Public License 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoCJava
Server operating systemsLinux
macOS
FreeBSD
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 schemeyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyes 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.noyes
Secondary indexesnoyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL queriesyes infoSQL 2003 with some extensionsSolr Parallel SQL Interface
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languagesJava
Python
C
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 proceduresyes, in SQL, C, RJava plugins
Triggersnoyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tablesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoSource-replica replication available in experimental statusyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes

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FeatureBaseMonetDBSolr
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