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DBMS > Infobright vs. Microsoft Access vs. Microsoft Azure AI Search vs. Oracle Berkeley DB

System Properties Comparison Infobright vs. Microsoft Access vs. Microsoft Azure AI Search vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameInfobright  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
DescriptionHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendMicrosoft 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 developmentWidely used in-process key-value store
Primary database modelRelational DBMSRelational DBMSSearch engineKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.88
Rank#198  Overall
#92  Relational DBMS
Score93.76
Rank#12  Overall
#8  Relational DBMS
Score5.75
Rank#58  Overall
#7  Search engines
Score1.88
Rank#130  Overall
#23  Key-value stores
#3  Native XML DBMS
Websiteignitetech.com/­softwarelibrary/­infobrightdbwww.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­en-us/­services/­searchwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationdeveloper.microsoft.com/­en-us/­accesslearn.microsoft.com/­en-us/­azure/­searchdocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperIgnite Technologies Inc.; formerly InfoBright Inc.MicrosoftMicrosoftOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2005199220151994
Current release1902 (16.0.11328.20222), March 2019V118.1.40, May 2020
License infoCommercial or Open Sourcecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercial infoBundled with Microsoft OfficecommercialOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux
Windows
Windows infoNot a real database server, but making use of DLLshostedAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 infoonly with the Berkeley DB XML edition
Secondary indexesno infoKnowledge Grid Technology used insteadyesyesyes
SQL infoSupport of SQLyesyes infobut not compliant to any SQL standardnoyes infoSQL interfaced based on SQLite is available
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
RESTful HTTP API
Supported programming languages.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C#
Java
JavaScript
Python
.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 proceduresnoyes infosince Access 2010 using the ACE-enginenono
Triggersnoyes infosince Access 2010 using the ACE-enginenoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyes infoImplicit feature of the cloud serviceSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infobut no files for transaction loggingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesno infoa simple user-level security was built in till version Access 2003yes infousing Azure authenticationno

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More resources
InfobrightMicrosoft AccessMicrosoft Azure AI SearchOracle Berkeley DB
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