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

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

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonFoundationDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTigerGraph  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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 processingA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSGraph 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
Score16.95
Rank#35  Overall
#21  Relational DBMS
Score0.87
Rank#165  Overall
#13  Graph DBMS
Websiteaws.amazon.com/­redshiftwww.foundationdb.orgspark.apache.org/­sqlwww.tigergraph.com
Technical documentationdocs.aws.amazon.com/­redshiftapple.github.io/­foundationdbspark.apache.org/­docs/­latest/­sql-programming-guide.htmldocs.tigergraph.com
DeveloperAmazon (based on PostgreSQL)FoundationDBApache Software Foundation
Initial release2012201320142017
Current release6.2.11, November 2019v2.4.4, September 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0commercial
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++ScalaC++
Server operating systemshostedLinux
OS X
Windows
Linux
OS X
Windows
Linux
Data schemeyesschema-free infosome layers support schemasyesyes
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.nonono
Secondary indexesrestrictednono
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardsupported in specific SQL layer onlySQL-like DML and DDL statementsSQL-like query language (GSQL)
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Java
Python
R
Scala
C++
Java
Server-side scripts infoStored proceduresuser defined functions infoin Pythonin SQL-layer onlynoyes
Triggersnononono
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 methodsnonoyes
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 onlynoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
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.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardnonoRole-based access control
More information provided by the system vendor
Amazon RedshiftFoundationDBSpark SQLTigerGraph
Specific characteristicsTigerGraph is a native graph database, with massively parallel processing and fully...
» more
Competitive advantagesTigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
» more
Typical application scenariosAnti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
» more
Key customersTigerGraph’s proven technology supports applications such as fraud detection, customer...
» more
Market metricsTigerGraph is 2x to more than 8000x faster at graph traversal and query response...
» more
Licensing and pricing modelsNEW: TIGERGRAPH CLOUD - Fully managed Graph Database as a Service. Hourly pricing...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesDremio is like magic for Redshift accelerating your analytical queries up to 1,000x.
» more

DBHawk: a web-based Amazon Redshift Workbench and Cloud database tool.
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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 RedshiftFoundationDBSpark SQLTigerGraph
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