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DBMS > Amazon Redshift vs. FoundationDB vs. Impala

System Properties Comparison Amazon Redshift vs. FoundationDB vs. Impala

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonFoundationDB  Xexclude from comparisonImpala  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Analytic DBMS for Hadoop
Primary database modelRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score21.39
Rank#31  Overall
#19  Relational DBMS
Score0.79
Rank#166  Overall
#25  Document stores
#30  Key-value stores
#80  Relational DBMS
Score15.98
Rank#36  Overall
#22  Relational DBMS
Websiteaws.amazon.com/­redshiftwww.foundationdb.orgwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.html
Technical documentationdocs.aws.amazon.com/­redshiftapple.github.io/­foundationdbwww.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.html
DeveloperAmazon (based on PostgreSQL)FoundationDBCloudera
Initial release201220132013
Current release6.1.11, July 20193.3.0, August 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C++
Server operating systemshostedLinux
OS X
Windows
Linux
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 indexesrestrictednoyes
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
All languages supporting JDBC/ODBC
Server-side scripts infoStored proceduresuser defined functions infoin Pythonin SQL-layer onlyyes infouser defined functions and integration of map-reduce
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyEventual 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-standardnoAccess rights for users, groups and roles infobased on Apache Sentry and Kerberos

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Related products and services
3rd partiesDBHawk: a web-based Amazon Redshift Workbench and Cloud database tool.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon RedshiftFoundationDBImpala
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Recent citations in the news

Amazon soups up RedShift
4 December 2019, Blocks and Files

AWS speeds up Redshift queries 10x with AQUA
3 December 2019, TechCrunch

Talend Achieves Amazon Redshift Ready Designation Nasdaq:TLND
4 December 2019, GlobeNewswire

Looker Achieves AWS Retail Competency Status and Amazon Redshift Ready Designation
4 December 2019, Business Wire

AWS Announces New Analytics Capabilities to Help Customers Embrace Data at Scale
3 December 2019, Business Wire

provided by Google News

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

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

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

Apple Acquires Durable Database Company FoundationDB
24 March 2015, TechCrunch

FoundationDB Goes Open Source
23 April 2018, Datanami

provided by Google News

Cloudera's a data warehouse player now
28 August 2018, ZDNet

Cloudera Boosts Hadoop App Development On Impala
10 November 2014, InformationWeek

Cloudera’s Impala brings Hadoop to SQL and BI
25 October 2012, ZDNet

Cloudera says Impala is faster than Hive, which isn't saying much
13 January 2014, GigaOM

Apache Impala Adds ODBC Scalar Functions
17 May 2018, iProgrammer

provided by Google News

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