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DBMS > FoundationDB vs. Microsoft Azure AI Search vs. OceanBase vs. Oracle Berkeley DB

System Properties Comparison FoundationDB vs. Microsoft Azure AI Search vs. OceanBase vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonOceanBase  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionOrdered key-value store. Core features are complimented by layers.Search-as-a-service for web and mobile app developmentA distributed, high available RDBMS compatible with Oracle and MySQLWidely used in-process key-value store
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Search engineRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsVector DBMSDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#191  Overall
#32  Document stores
#28  Key-value stores
#87  Relational DBMS
Score5.75
Rank#58  Overall
#7  Search engines
Score1.97
Rank#119  Overall
#58  Relational DBMS
Score1.88
Rank#130  Overall
#23  Key-value stores
#3  Native XML DBMS
Websitegithub.com/­apple/­foundationdbazure.microsoft.com/­en-us/­services/­searchen.oceanbase.comwww.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationapple.github.io/­foundationdblearn.microsoft.com/­en-us/­azure/­searchen.oceanbase.com/­docs/­oceanbase-databasedocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperFoundationDBMicrosoftOceanBase infopreviously Alibaba and Ant GroupOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2013201520101994
Current release6.2.28, November 2020V14.3.0, April 202418.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoCommercial license availableOpen Source infocommercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemsLinux
OS X
Windows
hostedLinuxAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeschema-free infosome layers support schemasyesyesschema-free
Typing infopredefined data types such as float or dateno infosome layers support typingyesyesno
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.noyesyes infoonly with the Berkeley DB XML edition
Secondary indexesnoyesyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlynoyesyes infoSQL interfaced based on SQLite is available
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C#
Java
JavaScript
Python
Ada infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
.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 proceduresin SQL-layer onlynoPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible modeno
Triggersnonoyesyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning (by hash, key, range, range columns, list, and list columns)none
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud serviceMulti-source replication using PaxosSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoyes infousing Azure authenticationAccess rights for users, groups and roles according to SQL-standardno

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More resources
FoundationDBMicrosoft Azure AI SearchOceanBaseOracle Berkeley DB
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