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DBMS > FoundationDB vs. jBASE vs. Microsoft Access vs. Microsoft Azure Table Storage

System Properties Comparison FoundationDB vs. jBASE vs. Microsoft Access vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonjBASE  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure Table Storage  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.A robust multi-value DBMS comprising development tools and middlewareMicrosoft 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 Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Multivalue DBMSRelational DBMSWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Websitegithub.com/­apple/­foundationdbwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationapple.github.io/­foundationdbdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9developer.microsoft.com/­en-us/­access
DeveloperFoundationDBRocket Software (formerly Zumasys)MicrosoftMicrosoft
Initial release2013199119922012
Current release6.2.28, November 20205.71902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemsLinux
OS X
Windows
AIX
Linux
Windows
Windows infoNot a real database server, but making use of DLLshosted
Data schemeschema-free infosome layers support schemasschema-freeyesschema-free
Typing infopredefined data types such as float or dateno infosome layers support typingoptionalyesyes
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.yesno
Secondary indexesnoyesno
SQL infoSupport of SQLsupported in specific SQL layer onlyEmbedded SQL for jBASE in BASICyes infobut not compliant to any SQL standardno
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
ADO.NET
DAO
ODBC
OLE DB
RESTful HTTP API
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
Basic
Jabbascript
Java
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresin SQL-layer onlyyesyes infosince Access 2010 using the ACE-engineno
Triggersnoyesyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infobut no files for transaction loggingoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnoAccess rights can be defined down to the item levelno infoa simple user-level security was built in till version Access 2003Access rights based on private key authentication or shared access signatures

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More resources
FoundationDBjBASEMicrosoft AccessMicrosoft Azure Table Storage
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