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DBMS > Amazon Redshift vs. FoundationDB vs. Sqrrl vs. Warp 10

System Properties Comparison Amazon Redshift vs. FoundationDB vs. Sqrrl vs. Warp 10

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonFoundationDB  Xexclude from comparisonSqrrl  Xexclude from comparisonWarp 10  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionLarge scale data warehouse service for use with business intelligence toolsOrdered key-value store. Core features are complimented by layers.Adaptable, secure NoSQL built on Apache AccumuloTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Document store
Graph DBMS
Key-value store
Wide column store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.03
Rank#34  Overall
#21  Relational DBMS
Score1.07
Rank#188  Overall
#31  Document stores
#28  Key-value stores
#86  Relational DBMS
Score0.08
Rank#358  Overall
#35  Time Series DBMS
Websiteaws.amazon.com/­redshiftgithub.com/­apple/­foundationdbsqrrl.comwww.warp10.io
Technical documentationdocs.aws.amazon.com/­redshiftapple.github.io/­foundationdbwww.warp10.io/­content/­02_Getting_started
DeveloperAmazon (based on PostgreSQL)FoundationDBAmazon infooriginally Sqrrl Data, Inc.SenX
Initial release2012201320122015
Current release6.2.28, November 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++JavaJava
Server operating systemshostedLinux
OS X
Windows
LinuxLinux
OS X
Windows
Data schemeyesschema-free infosome layers support schemasschema-freeschema-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.nono
Secondary indexesrestrictednoyesno
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardsupported in specific SQL layer onlynono
APIs and other access methodsJDBC
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
HTTP API
Jupyter
WebSocket
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresuser defined functions infoin Pythonin SQL-layer onlynoyes infoWarpScript
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infomaking use of HadoopSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesselectable replication factor infomaking use of Hadoopselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency infobased on HBase
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemin SQL-layer onlynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic updates per row, document, or graph entityno
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-standardnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Mandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Amazon RedshiftFoundationDBSqrrlWarp 10
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