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

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

Editorial information provided by DB-Engines
NameInterbase  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSolr  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionLight-weight proven RDBMS infooriginally from BorlandFully 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.)A widely used distributed, scalable search engine based on Apache LuceneTransactional SQL-on-Hadoop DBMS
Primary database modelRelational DBMSRelational DBMSRelational DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Spatial 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
Score41.02
Rank#24  Overall
#3  Search engines
Websitewww.embarcadero.com/­products/­interbasewww.kinetica.comwww.microsoft.com/­en-us/­microsoft-365/­accesssolr.apache.orgtrafodion.apache.org
Technical documentationdocs.embarcadero.com/­products/­interbasedocs.kinetica.comdeveloper.microsoft.com/­en-us/­accesssolr.apache.org/­resources.htmltrafodion.apache.org/­documentation.html
DeveloperEmbarcaderoKineticaMicrosoftApache Software FoundationApache Software Foundation, originally developed by HP
Initial release19842012199220062014
Current releaseInterBase 2020, December 20197.1, August 20211902 (16.0.11328.20222), March 20199.6.1, May 20242.3.0, February 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBundled with Microsoft OfficeOpen Source infoApache Version 2Open Source infoApache 2.0
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 languageCC, C++C++JavaC++, Java
Server operating systemsAndroid
iOS
Linux
OS X
Windows
LinuxWindows infoNot a real database server, but making use of DLLsAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Data schemeyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typingyes
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 possiblenoyesno
Secondary indexesyesyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyes infobut not compliant to any SQL standardSolr Parallel SQL Interfaceyes
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Supported programming languages.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresyes infoInterbase procedure and trigger languageuser defined functionsyes infosince Access 2010 using the ACE-engineJava pluginsJava Stored Procedures
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infosince Access 2010 using the ACE-engineyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesInterbase Change ViewsSource-replica replicationnoneyesyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infobut no files for transaction loggingoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayes infoMultiversion concurreny controlyesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.yesyes infoGPU vRAM or System RAMyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles on table levelno infoa simple user-level security was built in till version Access 2003yesfine grained access rights according to SQL-standard

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More resources
InterbaseKineticaMicrosoft AccessSolrTrafodion
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