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DBMS > Amazon Redshift vs. FoundationDB vs. Spark SQL

System Properties Comparison Amazon Redshift vs. FoundationDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonFoundationDB  Xexclude from comparisonSpark SQL  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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 toolsOrdered key-value store. Core features are complimented by layers.Spark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational 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
Score22.41
Rank#29  Overall
#17  Relational DBMS
Score0.91
Rank#167  Overall
#26  Document stores
#31  Key-value stores
#80  Relational DBMS
Score18.40
Rank#34  Overall
#21  Relational DBMS
Websiteaws.amazon.com/­redshiftwww.foundationdb.orgspark.apache.org/­sql
Technical documentationdocs.aws.amazon.com/­redshiftapple.github.io/­foundationdbspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAmazon (based on PostgreSQL)FoundationDBApache Software Foundation
Initial release201220132014
Current release6.2.11, November 20193.0.0, June 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++Scala
Server operating systemshostedLinux
OS X
Windows
Linux
OS X
Windows
Data schemeyesschema-free infosome layers support schemasyes
Typing infopredefined data types such as float or dateyesno 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.nono
Secondary indexesrestrictednono
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardsupported in specific SQL layer onlySQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions infoin Pythonin SQL-layer onlyno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemin SQL-layer onlyno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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-standardnono

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More resources
Amazon RedshiftFoundationDBSpark SQL
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Recent citations in the news

Restrict Amazon Redshift Spectrum external table access to Amazon Redshift IAM users and groups using role chaining
6 July 2020, idk.dev

The fundamental issues with Amazon Redshift
30 June 2020, ITProPortal

Best practices for Amazon Redshift Federated Query
16 June 2020, idk.dev

Moovit embraces data lake architecture by extending their Amazon Redshift cluster to analyze billions of data points every day
24 June 2020, idk.dev

Infoworks DataFoundry Adds Amazon Redshift Support
18 June 2020, Business Wire

provided by Google News

FoundationDB, a very interesting NoSQL database owned by Apple, is now an open-source project
19 April 2018, GeekWire

Apple’s FoundationDB open sources the database layer behind CloudKit
14 January 2019, 9to5Mac

Apple Acquires Durable Database Company FoundationDB
24 March 2015, TechCrunch

FoundationDB's Record Layer Supports Relational Database Semantics, Schema Management and Indexing
10 February 2019, InfoQ.com

FoundationDB opens Apple's database sauce • DEVCLASS
15 January 2019, DevClass

provided by Google News

Spark AI Summit 2020 Highlights: Innovations to Improve Spark 3.0 Performance
3 July 2020, InfoQ.com

Spark 3.0 Brings Big SQL Speed-Up, Better Python Hooks
25 June 2020, Datanami

Spark 3.0 changes gears with adaptive query execution and GPU help
23 June 2020, DevClass

Spark 3 Improves Python and SQL Support
22 June 2020, iProgrammer

Databricks Cranks Delta Lake Performance, Nabs Redash for SQL Viz
24 June 2020, Datanami

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