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DBMS > 4D vs. Atos Standard Common Repository vs. H2 vs. Ingres vs. IRONdb

System Properties Comparison 4D vs. Atos Standard Common Repository vs. H2 vs. Ingres vs. IRONdb

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonH2  Xexclude from comparisonIngres  Xexclude from comparisonIRONdb  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 systemHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Well established RDBMSA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.h2database.comwww.actian.com/­databases/­ingreswww.circonus.com/solutions/time-series-database/
Technical documentationdeveloper.4d.comwww.h2database.com/­html/­main.htmldocs.actian.com/­ingresdocs.circonus.com/irondb/category/getting-started
Developer4D, IncAtos Convergence CreatorsThomas MuellerActian CorporationCirconus LLC.
Initial release1984201620051974 infooriginally developed at University Berkely in early 1970s2017
Current releasev20, April 202317032.2.220, July 202311.2, May 2022V0.10.20, January 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaCC and C++
Server operating systemsOS X
Windows
LinuxAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
Data schemeyesSchema and schema-less with LDAP viewsyesyesschema-free
Typing infopredefined data types such as float or dateyesoptionalyesyesyes infotext, numeric, histograms
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.yesyesnono infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyes infoclose to SQL 92noyesyesSQL-like query language (Circonus Analytics Query Language: CAQL)
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPJDBC
ODBC
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP API
Supported programming languages4D proprietary IDE
PHP
All languages with LDAP bindingsJava.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyesnoJava Stored Procedures and User-Defined Functionsyesyes, in Lua
Triggersyesyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionnonehorizontal partitioning infoIngres Star to access multiple databases simultaneouslyAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesWith clustering: 2 database servers on different computers operate on identical copies of a databaseIngres Replicatorconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes infoMVCCyes
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.noyesyesnono
User concepts infoAccess controlUsers and groupsLDAP bind authenticationfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
4D infoformer name: 4th DimensionAtos Standard Common RepositoryH2IngresIRONdb
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