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DBMS > Interbase vs. Kinetica vs. Microsoft Access vs. Newts vs. Oracle Berkeley DB

System Properties Comparison Interbase vs. Kinetica vs. Microsoft Access vs. Newts vs. Oracle Berkeley DB

Editorial information provided by DB-Engines
NameInterbase  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonNewts  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
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.)Time Series DBMS based on CassandraWidely used in-process key-value store
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
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
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Websitewww.embarcadero.com/­products/­interbasewww.kinetica.comwww.microsoft.com/­en-us/­microsoft-365/­accessopennms.github.io/­newtswww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationdocs.embarcadero.com/­products/­interbasedocs.kinetica.comdeveloper.microsoft.com/­en-us/­accessgithub.com/­OpenNMS/­newts/­wikidocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperEmbarcaderoKineticaMicrosoftOpenNMS GroupOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release19842012199220141994
Current releaseInterBase 2020, December 20197.1, August 20211902 (16.0.11328.20222), March 201918.1.40, May 2020
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0Open Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC, C++C++JavaC, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsAndroid
iOS
Linux
OS X
Windows
LinuxWindows infoNot a real database server, but making use of DLLsLinux
OS X
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 possiblenonoyes infoonly with the Berkeley DB XML edition
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyes infobut not compliant to any SQL standardnoyes infoSQL interfaced based on SQLite is available
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
HTTP REST
Java API
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
Java.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresyes infoInterbase procedure and trigger languageuser defined functionsyes infosince Access 2010 using the ACE-enginenono
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infosince Access 2010 using the ACE-enginenoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding infobased on Cassandranone
Replication methods infoMethods for redundantly storing data on multiple nodesInterbase Change ViewsSource-replica replicationnoneselectable replication factor infobased on CassandraSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infobut no files for transaction loggingnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoMultiversion concurreny controlyesyesyes
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 RAMnoyes
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 2003nono

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More resources
InterbaseKineticaMicrosoft AccessNewtsOracle Berkeley DB
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