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DBMS > Interbase vs. IRONdb vs. Kinetica vs. Microsoft Access vs. Trafodion

System Properties Comparison Interbase vs. IRONdb vs. Kinetica vs. Microsoft Access vs. Trafodion

Editorial information provided by DB-Engines
NameInterbase  Xexclude from comparisonIRONdb  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonTrafodion  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionLight-weight proven RDBMS infooriginally from BorlandA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityFully vectorized database across both GPUs and CPUsMicrosoft 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.)Transactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Websitewww.embarcadero.com/­products/­interbasewww.circonus.com/solutions/time-series-database/www.kinetica.comwww.microsoft.com/­en-us/­microsoft-365/­accesstrafodion.apache.org
Technical documentationdocs.embarcadero.com/­products/­interbasedocs.circonus.com/irondb/category/getting-starteddocs.kinetica.comdeveloper.microsoft.com/­en-us/­accesstrafodion.apache.org/­documentation.html
DeveloperEmbarcaderoCirconus LLC.KineticaMicrosoftApache Software Foundation, originally developed by HP
Initial release19842017201219922014
Current releaseInterBase 2020, December 2019V0.10.20, January 20187.1, August 20211902 (16.0.11328.20222), March 20192.3.0, February 2019
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC and C++C, C++C++C++, Java
Server operating systemsAndroid
iOS
Linux
OS X
Windows
LinuxLinuxWindows infoNot a real database server, but making use of DLLsLinux
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes 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.no infoexport as XML data possiblenonono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like DML and DDL statementsyes infobut not compliant to any SQL standardyes
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP APIJDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes infoInterbase procedure and trigger languageyes, in Luauser defined functionsyes infosince Access 2010 using the ACE-engineJava Stored Procedures
Triggersyesnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic, metric affinity per nodeShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInterbase Change Viewsconfigurable replication factor, datacenter awareSource-replica replicationnoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayes infoMultiversion concurreny controlyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoGPU vRAM or System RAMno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users and roles on table levelno infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standard

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More resources
InterbaseIRONdbKineticaMicrosoft AccessTrafodion
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