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DBMS > 4D vs. Apache Impala vs. Atos Standard Common Repository vs. IRONdb vs. Quasardb

System Properties Comparison 4D vs. Apache Impala vs. Atos Standard Common Repository vs. IRONdb vs. Quasardb

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonApache Impala  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonIRONdb  Xexclude from comparisonQuasardb  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionApplication development environment with integrated database management systemAnalytic DBMS for HadoopHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityDistributed, high-performance timeseries database
Primary database modelRelational DBMSRelational DBMSDocument store
Key-value store
Time Series DBMSTime Series 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
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitewww.4d.comimpala.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.circonus.com/solutions/time-series-database/quasar.ai
Technical documentationdeveloper.4d.comimpala.apache.org/­impala-docs.htmldocs.circonus.com/irondb/category/getting-starteddoc.quasar.ai/­master
Developer4D, IncApache Software Foundation infoApache top-level project, originally developed by ClouderaAtos Convergence CreatorsCirconus LLC.quasardb
Initial release19842013201620172009
Current releasev20, April 20234.1.0, June 20221703V0.10.20, January 20183.14.1, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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 languageC++JavaC and C++C++
Server operating systemsOS X
Windows
LinuxLinuxLinuxBSD
Linux
OS X
Windows
Data schemeyesyesSchema and schema-less with LDAP viewsschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesoptionalyes infotext, numeric, histogramsyes infointeger and binary
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.yesnoyesnono
Secondary indexesyesyesyesnoyes infowith tags
SQL infoSupport of SQLyes infoclose to SQL 92SQL-like DML and DDL statementsnoSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like query language
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
ODBC
LDAPHTTP APIHTTP API
Supported programming languages4D proprietary IDE
PHP
All languages supporting JDBC/ODBCAll languages with LDAP bindings.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyesyes infouser defined functions and integration of map-reducenoyes, in Luano
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infocell divisionAutomatic, metric affinity per nodeSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factoryesconfigurable replication factor, datacenter awareSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integrityyesnononono
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 infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesnoyes infoTransient mode
User concepts infoAccess controlUsers and groupsAccess rights for users, groups and roles infobased on Apache Sentry and KerberosLDAP bind authenticationnoCryptographically strong user authentication and audit trail

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More resources
4D infoformer name: 4th DimensionApache ImpalaAtos Standard Common RepositoryIRONdbQuasardb
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