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DBMS > 4D vs. Apache Druid vs. Atos Standard Common Repository vs. Hive vs. SpatiaLite

System Properties Comparison 4D vs. Apache Druid vs. Atos Standard Common Repository vs. Hive vs. SpatiaLite

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Druid  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonHive  Xexclude from comparisonSpatiaLite  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionApplication development environment with integrated database management systemOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksdata warehouse software for querying and managing large distributed datasets, built on HadoopSpatial extension of SQLite
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Document store
Key-value store
Relational DBMSSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Websitewww.4d.comdruid.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositoryhive.apache.orgwww.gaia-gis.it/­fossil/­libspatialite/­index
Technical documentationdeveloper.4d.comdruid.apache.org/­docs/­latest/­designcwiki.apache.org/­confluence/­display/­Hive/­Homewww.gaia-gis.it/­gaia-sins/­spatialite_topics.html
Developer4D, IncApache Software Foundation and contributorsAtos Convergence CreatorsApache Software Foundation infoinitially developed by FacebookAlessandro Furieri
Initial release19842012201620122008
Current releasev20, April 202329.0.1, April 202417033.1.3, April 20225.0.0, August 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercialOpen Source infoApache Version 2Open Source infoMPL 1.1, GPL v2.0 or LGPL v2.1
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC++
Server operating systemsOS X
Windows
Linux
OS X
Unix
LinuxAll OS with a Java VMserver-less
Data schemeyesyes infoschema-less columns are supportedSchema and schema-less with LDAP viewsyesyes
Typing infopredefined data types such as float or dateyesyesoptionalyesyes
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.yesnoyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL for queryingnoSQL-like DML and DDL statementsyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
RESTful HTTP/JSON API
LDAPJDBC
ODBC
Thrift
Supported programming languages4D proprietary IDE
PHP
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages with LDAP bindingsC++
Java
PHP
Python
Server-side scripts infoStored proceduresyesnonoyes infouser defined functions and integration of map-reduceno
Triggersyesnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infomanual/auto, time-basedSharding infocell divisionShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes, via HDFS, S3 or other storage enginesyesselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of specific operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nonoyesyes
User concepts infoAccess controlUsers and groupsRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemLDAP bind authenticationAccess rights for users, groups and rolesno

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More resources
4D infoformer name: 4th DimensionApache DruidAtos Standard Common RepositoryHiveSpatiaLite
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