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DBMS > 4D vs. Apache Hive vs. ReductStore

System Properties Comparison 4D vs. Apache Hive vs. ReductStore

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Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Hive  Xexclude from comparisonReductStore  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemdata warehouse software for querying and managing large distributed datasets, built on HadoopDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.
Primary database modelRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.92
Rank#119  Overall
#58  Relational DBMS
Score62.49
Rank#18  Overall
#12  Relational DBMS
Score0.00
Rank#381  Overall
#40  Time Series DBMS
Websitewww.4d.comhive.apache.orggithub.com/­reductstore
www.reduct.store
Technical documentationdeveloper.4d.comcwiki.apache.org/­confluence/­display/­Hive/­Homewww.reduct.store/­docs
Developer4D, IncApache Software Foundation infoinitially developed by FacebookReductStore LLC
Initial release198420122023
Current releasev20, April 20233.1.3, April 20221.9, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoBusiness Source License 1.1
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Rust
Server operating systemsOS X
Windows
All OS with a Java VMDocker
Linux
macOS
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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 indexesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL-like DML and DDL statements
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
ODBC
Thrift
HTTP API
Supported programming languages4D proprietary IDE
PHP
C++
Java
PHP
Python
C++
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reduce
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
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual 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 groupsAccess rights for users, groups and roles

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More resources
4D infoformer name: 4th DimensionApache HiveReductStore
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