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DBMS > Interbase vs. Kinetica vs. Microsoft Access vs. Microsoft Azure AI Search vs. RisingWave

System Properties Comparison Interbase vs. Kinetica vs. Microsoft Access vs. Microsoft Azure AI Search vs. RisingWave

Editorial information provided by DB-Engines
NameInterbase  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRisingWave  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.)Search-as-a-service for web and mobile app developmentA distributed RDBMS for stream processing, wire-compatible with PostgreSQL
Primary database modelRelational DBMSRelational DBMSRelational DBMSSearch engineRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Vector 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
Score5.52
Rank#59  Overall
#6  Search engines
Score0.64
Rank#238  Overall
#110  Relational DBMS
Websitewww.embarcadero.com/­products/­interbasewww.kinetica.comwww.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­en-us/­services/­searchwww.risingwave.com/­database
Technical documentationdocs.embarcadero.com/­products/­interbasedocs.kinetica.comdeveloper.microsoft.com/­en-us/­accesslearn.microsoft.com/­en-us/­azure/­searchdocs.risingwave.com/­docs/­current/­intro
DeveloperEmbarcaderoKineticaMicrosoftMicrosoftRisingWave Labs
Initial release19842012199220152022
Current releaseInterBase 2020, December 20197.1, August 20211902 (16.0.11328.20222), March 2019V11.2, September 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBundled with Microsoft OfficecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC, C++C++Rust
Server operating systemsAndroid
iOS
Linux
OS X
Windows
LinuxWindows infoNot a real database server, but making use of DLLshostedDocker
Linux
macOS
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesStandard SQL-types and JSON
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 indexesyesyesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsyes infobut not compliant to any SQL standardnoyes
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
RESTful HTTP APIJDBC
PostgreSQL wire protocol
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
C#
Java
JavaScript
Python
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoInterbase procedure and trigger languageuser defined functionsyes infosince Access 2010 using the ACE-enginenoUDFs in Python or Java
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infosince Access 2010 using the ACE-enginenono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesInterbase Change ViewsSource-replica replicationnoneyes infoImplicit feature of the cloud service
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 configurationImmediate Consistency
Foreign keys infoReferential integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infobut no files for transaction loggingnono
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 2003yes infousing Azure authenticationUsers and Roles

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More resources
InterbaseKineticaMicrosoft AccessMicrosoft Azure AI SearchRisingWave
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