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DBMS > 4D vs. Apache Druid vs. Apache Impala vs. Badger vs. Valentina Server

System Properties Comparison 4D vs. Apache Druid vs. Apache Impala vs. Badger vs. Valentina Server

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Druid  Xexclude from comparisonApache Impala  Xexclude from comparisonBadger  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAnalytic DBMS for HadoopAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Object-relational database and reports server
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Relational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
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
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitewww.4d.comdruid.apache.orgimpala.apache.orggithub.com/­dgraph-io/­badgerwww.valentina-db.net
Technical documentationdeveloper.4d.comdruid.apache.org/­docs/­latest/­designimpala.apache.org/­impala-docs.htmlgodoc.org/­github.com/­dgraph-io/­badgervalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
Developer4D, IncApache Software Foundation and contributorsApache Software Foundation infoApache top-level project, originally developed by ClouderaDGraph LabsParadigma Software
Initial release19842012201320171999
Current releasev20, April 202329.0.1, April 20244.1.0, June 20225.7.5
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infoApache Version 2Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Go
Server operating systemsOS X
Windows
Linux
OS X
Unix
LinuxBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyes infoschema-less columns are supportedyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.yesnonono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL for queryingSQL-like DML and DDL statementsnoyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
RESTful HTTP/JSON API
JDBC
ODBC
ODBC
Supported programming languages4D proprietary IDE
PHP
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages supporting JDBC/ODBCGo.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyesnoyes infouser defined functions and integration of map-reducenoyes
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infomanual/auto, time-basedShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes, via HDFS, S3 or other storage enginesselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonononoyes
User concepts infoAccess controlUsers and groupsRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnofine grained access rights according to SQL-standard

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More resources
4D infoformer name: 4th DimensionApache DruidApache ImpalaBadgerValentina Server
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