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DBMS > Amazon Redshift vs. FoundationDB vs. Informix vs. Spark SQL

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

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonFoundationDB  Xexclude from comparisonInformix  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.A secure embeddable database from IBM, positioned besides DB2 as a relatively low-cost product optimized for OLTP and Internet of Things dataSpark 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 infoSince Version 12.10 support for JSON/BSON datatypes compatible with MongoDBRelational DBMS
Secondary database modelsDocument store
Time Series DBMS infowith Informix TimeSeries Extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score20.97
Rank#32  Overall
#19  Relational DBMS
Score0.94
Rank#161  Overall
#24  Document stores
#28  Key-value stores
#79  Relational DBMS
Score24.89
Rank#28  Overall
#16  Relational DBMS
Score16.95
Rank#35  Overall
#21  Relational DBMS
Websiteaws.amazon.com/­redshiftwww.foundationdb.orgwww.ibm.com/­products/­informixspark.apache.org/­sql
Technical documentationdocs.aws.amazon.com/­redshiftapple.github.io/­foundationdbinformix.hcldoc.com
www.ibm.com/­support/­knowledgecenter/­SSGU8G/­welcomeIfxServers.html
spark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAmazon (based on PostgreSQL)FoundationDBIBM, HCL Technologies infoEffective May 1st, 2017, HCL took on development, technical support, and product management teams, and works jointly with IBM on product strategy, marketing, and sales.Apache Software Foundation
Initial release2012201319842014
Current release6.2.11, November 201914.10.FC3, December 2019v2.4.4, September 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infofree developer edition availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C, C++ and JavaScala
Server operating systemshostedLinux
OS X
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X
Windows
Data schemeyesschema-free infosome layers support schemasyesyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyes infoSince Version 12.10 support for JSON/BSON datatypesyes
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 indexesrestrictednoyesno
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardsupported in specific SQL layer onlyyesSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
JDBC
JSON API infoMongoDB compatible
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions infoin Pythonin SQL-layer onlyyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMaster-master replication
Master-slave replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemin SQL-layer onlyyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
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.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoUsers with fine-grained authentication, authorization, and auditing controlsno

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More resources
Amazon RedshiftFoundationDBInformixSpark SQL
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