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DBMS > Amazon Redshift vs. FoundationDB vs. Vertica vs. XAP

System Properties Comparison Amazon Redshift vs. FoundationDB vs. Vertica vs. XAP

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonFoundationDB  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparisonXAP  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Columnar relational DBMS designed to handle modern analytic workloads, enabling fast query performanceHigh performant in-memory data grid for mission critical applications. Insight Edge from the same company extends XAP for AI/ML support, BI and other interfaces
Primary database modelRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSDocument store
Key-value store infoValues are user defined objects
Secondary database modelsDocument storeObject oriented DBMS
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
Score22.63
Rank#29  Overall
#17  Relational DBMS
Score0.81
Rank#171  Overall
#27  Document stores
#30  Key-value stores
Websiteaws.amazon.com/­redshiftwww.foundationdb.orgwww.vertica.comwww.gigaspaces.com/­products/­xap
Technical documentationdocs.aws.amazon.com/­redshiftapple.github.io/­foundationdbwww.vertica.com/­documentation/­vertica/­9-3-x-documentationdocs.gigaspaces.com/­latest/­landing.html
DeveloperAmazon (based on PostgreSQL)FoundationDBVertica / Micro Focus infoprior to that Hewlett PackardGigaspaces Technologies
Initial release2012201320052000
Current release6.2.11, November 2019Vertica Analytics Platform 9.3.x, January 202014.5.0, June 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infoLimited community edition freeOpen Source infoApache Version 2; Commercial licenses available
Cloud-based only infoOnly available as a cloud serviceyesnono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platformno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++Java, C++, .Net
Server operating systemshostedLinux
OS X
Windows
LinuxLinux
macOS
Solaris
Windows
Data schemeyesschema-free infosome layers support schemasyes infoUnstructured data can be stored in specific Flex-Tablesschema-free
Typing infopredefined data types such as float or dateyesno infosome layers support typingyesyes
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.noyesno infoXML can be used for describing objects metadata
Secondary indexesrestrictednono infoThe concept of 'projections' can be used instead of indexes.yes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardsupported in specific SQL layer onlyyes infonearly full SQL99 without support for indexes and triggersSQL-like query language and DML statements
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C++
Java
Perl
Python
R
.Net
C++
Java
Server-side scripts infoStored proceduresuser defined functions infoin Pythonin SQL-layer onlyyesyes
Triggersnononoyes infoEvent Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoSegmentation, Projection Segmentation, Hash SegmentationSharding infoHash based
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesMaster-master replication infoCluster level and Object level replicationMaster-master replication infosynchronous or asynchronous
Master-slave replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infowith Vertica Connector for Hadoopyes infoMap-Reduce pattern can be built with XAP task executors
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
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 dataACIDACIDACIDACID
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.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashRole-based access control
More information provided by the system vendor
Amazon RedshiftFoundationDBVertica infoVertica Analytics PlatformXAP
Specific characteristicsColumnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesPerformance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are available
» more

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Related products and services
3rd partiesDBHawk: a web-based Amazon Redshift Workbench and Cloud database tool.
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Dremio is like magic for Redshift accelerating your analytical queries up to 1,000x.
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CData: Connect to Big Data & NoSQL through standard Drivers.
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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 RedshiftFoundationDBVertica infoVertica Analytics PlatformXAP
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