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DBMS > 4D vs. Hypertable

System Properties Comparison 4D vs. Hypertable

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Our visitors often compare 4D and Hypertable with MySQL, PostgreSQL and MongoDB.

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionApplication development environment with integrated database management systemAn open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelRelational DBMSWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.95
Rank#100  Overall
#53  Relational DBMS
Websitewww.4d.com
Technical documentationlivedoc.4d.com
Developer4D, IncHypertable Inc.
Initial release19842009
Current releasev18 R5, January 20210.9.8.11, March 2016
License infoCommercial or Open SourcecommercialOpen Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemsOS X
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesno
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.yes
Secondary indexesyesrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLyes infoclose to SQL 92no
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
C++ API
Thrift
Supported programming languages4D proprietary IDE
PHP
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlUsers and groupsno

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More resources
4D infoformer name: 4th DimensionHypertable
DB-Engines blog posts

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

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