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DBMS > Amazon DynamoDB vs. FoundationDB vs. Hyprcubd vs. Memcached vs. Sphinx

System Properties Comparison Amazon DynamoDB vs. FoundationDB vs. Hyprcubd vs. Memcached vs. Sphinx

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonHyprcubd  Xexclude from comparisonMemcached  Xexclude from comparisonSphinx  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudOrdered key-value store. Core features are complimented by layers.Serverless Time Series DBMSIn-memory key-value store, originally intended for cachingOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store
Key-value store
Document store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMSKey-value storeSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score5.98
Rank#56  Overall
#5  Search engines
Websiteaws.amazon.com/­dynamodbgithub.com/­apple/­foundationdbhyprcubd.com (offline)www.memcached.orgsphinxsearch.com
Technical documentationdocs.aws.amazon.com/­dynamodbapple.github.io/­foundationdbgithub.com/­memcached/­memcached/­wikisphinxsearch.com/­docs
DeveloperAmazonFoundationDBHyprcubd, Inc.Danga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalSphinx Technologies Inc.
Initial release2012201320032001
Current release6.2.28, November 20201.6.25, March 20243.5.1, February 2023
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache 2.0commercialOpen Source infoBSD licenseOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoCC++
Server operating systemshostedLinux
OS X
Windows
hostedFreeBSD
Linux
OS X
Unix
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-free infosome layers support schemasyesschema-freeyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingyes infotime, int, uint, float, stringnono
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.no
Secondary indexesyesnononoyes infofull-text index on all search fields
SQL infoSupport of SQLnosupported in specific SQL layer onlySQL-like query languagenoSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP APIgRPC (https)Proprietary protocolProprietary protocol
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoin SQL-layer onlynonono
Triggersyes infoby integration with AWS Lambdanononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnone infoRepcached, a Memcached patch, provides this functionallitynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Linearizable consistencyEventual Consistency
Foreign keys infoReferential integritynoin SQL-layer onlynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyesyesyesnoyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)notoken accessyes infousing SASL (Simple Authentication and Security Layer) protocolno

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More resources
Amazon DynamoDBFoundationDBHyprcubdMemcachedSphinx
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