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DBMS > Amazon Redshift vs. FileMaker vs. FoundationDB vs. Google BigQuery

System Properties Comparison Amazon Redshift vs. FileMaker vs. FoundationDB vs. Google BigQuery

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonFileMaker  Xexclude from comparisonFoundationDB  Xexclude from comparisonGoogle BigQuery  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionLarge scale data warehouse service for use with business intelligence toolsFileMaker is a cross-platform RDBMS that includes a GUI frontend.Ordered key-value store. Core features are complimented by layers.Large scale data warehouse service with append-only tables
Primary database modelRelational DBMSRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score60.38
Rank#19  Overall
#13  Relational DBMS
Websiteaws.amazon.com/­redshiftwww.claris.com/­filemakergithub.com/­apple/­foundationdbcloud.google.com/­bigquery
Technical documentationdocs.aws.amazon.com/­redshiftwww.claris.com/­resources/­documentationapple.github.io/­foundationdbcloud.google.com/­bigquery/­docs
DeveloperAmazon (based on PostgreSQL)Claris infoa subsidiary of AppleFoundationDBGoogle
Initial release2012198320132010
Current release19.4.1, November 20216.2.28, November 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++
Server operating systemshostediOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Windows
hosted
Data schemeyesyesschema-free infosome layers support schemasyes
Typing infopredefined data types such as float or dateyesyesno infosome layers support typingyes
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.noyes infoA http query request can return the data in XML formatno
Secondary indexesrestrictedyesnono
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyes infovia pluginssupported in specific SQL layer onlyyes
APIs and other access methodsJDBC
ODBC
Filemaker WebDirect
JDBC
ODBC
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBCPHP.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin Pythonyesin SQL-layer onlyuser defined functions infoin JavaScript
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication, warm standby infosince Version 14yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyesin SQL-layer onlyno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno infoSince BigQuery is designed for querying data
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights management via user accounts and connection to external directory servicesnoAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)

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More resources
Amazon RedshiftFileMakerFoundationDBGoogle BigQuery
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