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DBMS > 4D vs. Manticore Search vs. Netezza vs. OrigoDB vs. Solr

System Properties Comparison 4D vs. Manticore Search vs. Netezza vs. OrigoDB vs. Solr

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonManticore Search  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOrigoDB  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemMulti-storage database for search, including full-text search.Data warehouse and analytics appliance part of IBM PureSystemsA fully ACID in-memory object graph databaseA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSSearch engineRelational DBMSDocument store
Object oriented DBMS
Search engine
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibrarySpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score0.22
Rank#312  Overall
#21  Search engines
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitewww.4d.commanticoresearch.comwww.ibm.com/­products/­netezzaorigodb.comsolr.apache.org
Technical documentationdeveloper.4d.commanual.manticoresearch.comorigodb.com/­docssolr.apache.org/­resources.html
Developer4D, IncManticore SoftwareIBMRobert Friberg et alApache Software Foundation
Initial release1984201720002009 infounder the name LiveDB2006
Current releasev20, April 20236.0, February 20239.6.0, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2commercialOpen SourceOpen 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 languageC++C#Java
Server operating systemsOS X
Windows
FreeBSD
Linux
macOS
Windows
Linux infoincluded in applianceLinux
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesFixed schemayesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, BooleanyesUser defined using .NET types and collectionsyes 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.yesCan index from XMLno infocan be achieved using .NETyes
Secondary indexesyesyes infofull-text index on all search fieldsyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyes infoclose to SQL 92SQL-like query languageyesnoSolr Parallel SQL Interface
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
JDBC
ODBC
OLE DB
.NET Client API
HTTP API
LINQ
Java API
RESTful HTTP/JSON API
Supported programming languages4D proprietary IDE
PHP
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesuser defined functionsyesyesJava plugins
Triggersyesnonoyes infoDomain Eventsyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSynchronous replication based on Galera librarySource-replica replicationSource-replica replicationyes
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
Foreign keys infoReferential integrityyesnonodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infoisolated transactions for atomic changes and binary logging for safe writesACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlUsers and groupsnoUsers with fine-grained authorization conceptRole based authorizationyes

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More resources
4D infoformer name: 4th DimensionManticore SearchNetezza infoAlso called PureData System for Analytics by IBMOrigoDBSolr
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