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

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

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Druid  Xexclude from comparisonBadger  Xexclude from comparisonCoveo  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 dataAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.AI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentObject-relational database and reports server
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Key-value storeSearch engineRelational 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
Score0.14
Rank#331  Overall
#49  Key-value stores
Score2.28
Rank#114  Overall
#11  Search engines
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitewww.4d.comdruid.apache.orggithub.com/­dgraph-io/­badgerwww.coveo.comwww.valentina-db.net
Technical documentationdeveloper.4d.comdruid.apache.org/­docs/­latest/­designgodoc.org/­github.com/­dgraph-io/­badgerdocs.coveo.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
Developer4D, IncApache Software Foundation and contributorsDGraph LabsCoveoParadigma Software
Initial release19842012201720121999
Current releasev20, April 202329.0.1, April 20245.7.5
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2Open Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGo
Server operating systemsOS X
Windows
Linux
OS X
Unix
BSD
Linux
OS X
Solaris
Windows
hostedLinux
OS X
Windows
Data schemeyesyes infoschema-less columns are supportedschema-freehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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 indexesyesyesnoyesyes
SQL infoSupport of SQLyes infoclose to SQL 92SQL for queryingnonoyes
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
RESTful HTTP/JSON API
RESTful HTTP APIODBC
Supported programming languages4D proprietary IDE
PHP
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
GoC#
Java
JavaScript
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyesnononoyes
Triggersyesnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infomanual/auto, time-basednoneyes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes, via HDFS, S3 or other storage enginesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoyes
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.nononoyes
User concepts infoAccess controlUsers and groupsRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnogranular access controls, API key management, content filtersfine grained access rights according to SQL-standard

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4D infoformer name: 4th DimensionApache DruidBadgerCoveoValentina Server
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