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DBMS > 4D vs. Atos Standard Common Repository vs. BaseX vs. Databend vs. Ignite

System Properties Comparison 4D vs. Atos Standard Common Repository vs. BaseX vs. Databend vs. Ignite

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonBaseX  Xexclude from comparisonDatabend  Xexclude from comparisonIgnite  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionApplication development environment with integrated database management systemHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.An open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.
Primary database modelRelational DBMSDocument store
Key-value store
Native XML DBMSRelational DBMSKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositorybasex.orggithub.com/­datafuselabs/­databend
www.databend.com
ignite.apache.org
Technical documentationdeveloper.4d.comdocs.basex.orgdocs.databend.comapacheignite.readme.io/­docs
Developer4D, IncAtos Convergence CreatorsBaseX GmbHDatabend LabsApache Software Foundation
Initial release19842016200720212015
Current releasev20, April 2023170310.7, August 20231.0.59, April 2023Apache Ignite 2.6
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD licenseOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaRustC++, Java, .Net
Server operating systemsOS X
Windows
LinuxLinux
OS X
Windows
hosted
Linux
macOS
Linux
OS X
Solaris
Windows
Data schemeyesSchema and schema-less with LDAP viewsschema-freeyesyes
Typing infopredefined data types such as float or dateyesoptionalno infoXQuery supports typesyesyes
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.yesyesnoyes
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyes infoclose to SQL 92nonoyesANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
CLI Client
JDBC
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languages4D proprietary IDE
PHP
All languages with LDAP bindingsActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
Go
Java
JavaScript (Node.js)
Python
Rust
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesnoyesnoyes (compute grid and cache interceptors can be used instead)
Triggersyesyesyes infovia eventsnoyes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesnonenoneyes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsmultiple readers, single writeryesACID
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.noyesyes
User concepts infoAccess controlUsers and groupsLDAP bind authenticationUsers with fine-grained authorization concept on 4 levelsUsers with fine-grained authorization concept, user rolesSecurity Hooks for custom implementations

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4D infoformer name: 4th DimensionAtos Standard Common RepositoryBaseXDatabendIgnite
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