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DBMS > FoundationDB vs. Google BigQuery vs. mSQL vs. SQLite

System Properties Comparison FoundationDB vs. Google BigQuery vs. mSQL vs. SQLite

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSQLite  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Large scale data warehouse service with append-only tablesmSQL (Mini SQL) is a simple and lightweight RDBMSWidely used embeddable, in-process RDBMS
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#188  Overall
#31  Document stores
#28  Key-value stores
#86  Relational DBMS
Score61.90
Rank#19  Overall
#13  Relational DBMS
Score1.67
Rank#151  Overall
#70  Relational DBMS
Score116.01
Rank#10  Overall
#7  Relational DBMS
Websitegithub.com/­apple/­foundationdbcloud.google.com/­bigqueryhughestech.com.au/­products/­msqlwww.sqlite.org
Technical documentationapple.github.io/­foundationdbcloud.google.com/­bigquery/­docswww.sqlite.org/­docs.html
DeveloperFoundationDBGoogleHughes TechnologiesDwayne Richard Hipp
Initial release2013201019942000
Current release6.2.28, November 20204.4, October 20213.45.3  (15 April 2024), April 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infofree licenses can be providedOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CC
Server operating systemsLinux
OS X
Windows
hostedAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
server-less
Data schemeschema-free infosome layers support schemasyesyesyes infodynamic column types
Typing infopredefined data types such as float or dateno infosome layers support typingyesyesyes infonot rigid because of 'dynamic typing' concept.
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.nonono
Secondary indexesnonoyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlyyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersyes infoSQL-92 is not fully supported
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C
C++
Delphi
Java
Perl
PHP
Tcl
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresin SQL-layer onlyuser defined functions infoin JavaScriptnono
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate Consistencynone
Foreign keys infoReferential integrityin SQL-layer onlynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoSince BigQuery is designed for querying datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes infovia file-system locks
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.nonoyes
User concepts infoAccess controlnoAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)nono

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