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DBMS > 4D vs. Blueflood vs. HBase vs. mSQL vs. Solr

System Properties Comparison 4D vs. Blueflood vs. HBase vs. mSQL vs. Solr

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonBlueflood  Xexclude from comparisonHBase  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemScalable TimeSeries DBMS based on CassandraWide-column store based on Apache Hadoop and on concepts of BigTablemSQL (Mini SQL) is a simple and lightweight RDBMSA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSTime Series DBMSWide column storeRelational DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitewww.4d.comblueflood.iohbase.apache.orghughestech.com.au/­products/­msqlsolr.apache.org
Technical documentationdeveloper.4d.comgithub.com/­rax-maas/­blueflood/­wikihbase.apache.org/­book.htmlsolr.apache.org/­resources.html
Developer4D, IncRackspaceApache Software Foundation infoApache top-level project, originally developed by PowersetHughes TechnologiesApache Software Foundation
Initial release19842013200819942006
Current releasev20, April 20232.3.4, January 20214.4, October 20219.6.1, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache version 2commercial infofree licenses can be providedOpen Source infoApache Version 2
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 languageJavaJavaCJava
Server operating systemsOS X
Windows
Linux
OS X
Linux
Unix
Windows infousing Cygwin
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyespredefined schemeschema-free, schema definition possibleyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyesyes 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.yesnononoyes
Secondary indexesyesnonoyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyes infoclose to SQL 92nonoA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSolr Parallel SQL Interface
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
HTTP RESTJava API
RESTful HTTP API
Thrift
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languages4D proprietary IDE
PHP
C
C#
C++
Groovy
Java
PHP
Python
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesnoyes infoCoprocessors in JavanoJava plugins
Triggersyesnoyesnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infobased on CassandraShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual ConsistencynoneEventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoSingle row ACID (across millions of columns)nooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesnoyes
User concepts infoAccess controlUsers and groupsnoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoyes

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4D infoformer name: 4th DimensionBluefloodHBasemSQL infoMini SQLSolr
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