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DBMS > 4D vs. Alibaba Cloud AnalyticDB for MySQL vs. Atos Standard Common Repository vs. Ingres vs. IRONdb

System Properties Comparison 4D vs. Alibaba Cloud AnalyticDB for MySQL vs. Atos Standard Common Repository vs. Ingres vs. IRONdb

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAlibaba Cloud AnalyticDB for MySQL  Xexclude from comparisonAtos Standard Common Repository  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 systemA real-time data warehousing service that can process petabytes of data with high concurrency and low latency. It is fully compatible with the MySQL protocol.Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networksWell established RDBMSA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicity
Primary database modelRelational DBMSRelational DBMSDocument store
Key-value store
Relational 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
Score0.85
Rank#207  Overall
#96  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Websitewww.4d.comwww.alibabacloud.com/­product/­analyticdb-for-mysqlatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.actian.com/­databases/­ingreswww.circonus.com/solutions/time-series-database/
Technical documentationdeveloper.4d.comwww.alibabacloud.com/­help/­doc-detail/­93776.htmdocs.actian.com/­ingresdocs.circonus.com/irondb/category/getting-started
Developer4D, IncAlibabaAtos Convergence CreatorsActian CorporationCirconus LLC.
Initial release198420161974 infooriginally developed at University Berkely in early 1970s2017
Current releasev20, April 2023170311.2, May 2022V0.10.20, January 2018
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC and C++
Server operating systemsOS X
Windows
hostedLinuxAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
Data schemeyesyesSchema and schema-less with LDAP viewsyesschema-free
Typing infopredefined data types such as float or dateyesyesoptionalyesyes 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.yesyesyesno infobut tools for importing/exporting data from/to XML-files availableno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLyes infoclose to SQL 92yesnoyesSQL-like query language (Circonus Analytics Query Language: CAQL)
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
JDBC
ODBC
LDAP.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP API
Supported programming languages4D proprietary IDE
PHP
C#
Java
PHP
Python
All 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
Server-side scripts infoStored proceduresyesyesnoyesyes, in Lua
Triggersyesyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceSharding infocell divisionhorizontal partitioning infoIngres Star to access multiple databases simultaneouslyAutomatic, metric affinity per node
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infoImplicit feature of the cloud serviceyesIngres 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 ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integrityyesyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of specific operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes 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 groupsfine grained access rights according to SQL-standardLDAP bind authenticationfine grained access rights according to SQL-standardno
More information provided by the system vendor
4D infoformer name: 4th DimensionAlibaba Cloud AnalyticDB for MySQLAtos Standard Common RepositoryIngresIRONdb
Specific characteristicsA real-time data warehousing service that can process PB data with high concurrency...
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Competitive advantagesTPC Benchmark: The world leading result in TPC-DS benchmark . TPC-H benchmark for...
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Licensing and pricing modelsAvailable regions: America US Virginia US Silicon Valley Asia China Hong Kong India...
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More resources
4D infoformer name: 4th DimensionAlibaba Cloud AnalyticDB for MySQLAtos Standard Common RepositoryIngresIRONdb
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