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DBMS > Amazon Redshift vs. Cloudflare Workers KV vs. FoundationDB vs. Hypertable

System Properties Comparison Amazon Redshift vs. Cloudflare Workers KV vs. FoundationDB vs. Hypertable

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonCloudflare Workers KV  Xexclude from comparisonFoundationDB  Xexclude from comparisonHypertable  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionLarge scale data warehouse service for use with business intelligence toolsA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.Ordered key-value store. Core features are complimented by layers.An open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelRelational DBMSKey-value storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.88
Rank#35  Overall
#22  Relational DBMS
Score0.39
Rank#274  Overall
#39  Key-value stores
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Websiteaws.amazon.com/­redshiftwww.cloudflare.com/­developer-platform/­workers-kvgithub.com/­apple/­foundationdb
Technical documentationdocs.aws.amazon.com/­redshiftdevelopers.cloudflare.com/­kv/­apiapple.github.io/­foundationdb
DeveloperAmazon (based on PostgreSQL)CloudflareFoundationDBHypertable Inc.
Initial release2012201820132009
Current release6.2.28, November 20200.9.8.11, March 2016
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++C++
Server operating systemshostedhostedLinux
OS X
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Data schemeyesschema-freeschema-free infosome layers support schemasschema-free
Typing infopredefined data types such as float or dateyesnono infosome layers support typingno
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 indexesrestrictednonorestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnosupported in specific SQL layer onlyno
APIs and other access methodsJDBC
ODBC
HTTP REST
Proprietary protocol
C++ API
Thrift
Supported programming languagesAll languages supporting JDBC/ODBCC
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnoin SQL-layer onlyno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyesselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoin SQL-layer onlyno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
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.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnono

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