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DBMS > IRONdb vs. Microsoft Access vs. OpenMLDB vs. PostgreSQL

System Properties Comparison IRONdb vs. Microsoft Access vs. OpenMLDB vs. PostgreSQL

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Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonOpenMLDB  Xexclude from comparisonPostgreSQL  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)An open-source machine learning database that provides a feature platform for training and inferenceWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsRelational DBMSDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Websitewww.circonus.com/solutions/time-series-database/www.microsoft.com/­en-us/­microsoft-365/­accessopenmldb.aiwww.postgresql.org
Technical documentationdocs.circonus.com/irondb/category/getting-starteddeveloper.microsoft.com/­en-us/­accessopenmldb.ai/­docs/­zh/­mainwww.postgresql.org/­docs
DeveloperCirconus LLC.Microsoft4 Paradigm Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2017199220201989 info1989: Postgres, 1996: PostgreSQL
Current releaseV0.10.20, January 20181902 (16.0.11328.20222), March 20192024-2 February 202416.3, May 2024
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft OfficeOpen SourceOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++C++, Java, ScalaC
Server operating systemsLinuxWindows infoNot a real database server, but making use of DLLsLinuxFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeyesFixed schemayes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesyesyes
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.nonoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)yes infobut not compliant to any SQL standardyesyes infostandard with numerous extensions
APIs and other access methodsHTTP APIADO.NET
DAO
ODBC
OLE DB
JDBC
SQLAlchemy
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C++
Go
Java
Python
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes, in Luayes infosince Access 2010 using the ACE-enginenouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyes infosince Access 2010 using the ACE-enginenoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodenonehorizontal partitioningpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awarenoneSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnono infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
IRONdbMicrosoft AccessOpenMLDBPostgreSQL
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