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DBMS > 4D vs. Apache Impala vs. Netezza vs. OrigoDB vs. Solr

System Properties Comparison 4D vs. Apache Impala vs. Netezza vs. OrigoDB vs. Solr

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Impala  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 systemAnalytic DBMS for HadoopData 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 DBMSRelational DBMSRelational DBMSDocument store
Object oriented DBMS
Search engine
Secondary database modelsDocument storeSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score13.77
Rank#40  Overall
#24  Relational DBMS
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.comimpala.apache.orgwww.ibm.com/­products/­netezzaorigodb.comsolr.apache.org
Technical documentationdeveloper.4d.comimpala.apache.org/­impala-docs.htmlorigodb.com/­docssolr.apache.org/­resources.html
Developer4D, IncApache Software Foundation infoApache top-level project, originally developed by ClouderaIBMRobert Friberg et alApache Software Foundation
Initial release1984201320002009 infounder the name LiveDB2006
Current releasev20, April 20234.1.0, June 20229.6.0, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen SourceOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#Java
Server operating systemsOS X
Windows
LinuxLinux infoincluded in applianceLinux
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesUser 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.yesnono infocan be achieved using .NETyes
Secondary indexesyesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyes infoclose to SQL 92SQL-like DML and DDL statementsyesnoSolr Parallel SQL Interface
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
ODBC
JDBC
ODBC
OLE DB
.NET Client API
HTTP API
LINQ
Java API
RESTful HTTP/JSON API
Supported programming languages4D proprietary IDE
PHP
All languages supporting JDBC/ODBCC
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 proceduresyesyes infouser defined functions and integration of map-reduceyesyesJava plugins
Triggersyesnonoyes infoDomain Eventsyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factorSource-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyesnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlUsers and groupsAccess rights for users, groups and roles infobased on Apache Sentry and KerberosUsers with fine-grained authorization conceptRole based authorizationyes

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