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DBMS > FoundationDB vs. Memcached vs. Spark SQL vs. STSdb vs. YDB

System Properties Comparison FoundationDB vs. Memcached vs. Spark SQL vs. STSdb vs. YDB

Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonMemcached  Xexclude from comparisonSpark SQL  Xexclude from comparisonSTSdb  Xexclude from comparisonYDB  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionOrdered key-value store. Core features are complimented by layers.In-memory key-value store, originally intended for cachingSpark SQL is a component on top of 'Spark Core' for structured data processingKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Key-value storeRelational DBMSKey-value storeDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitegithub.com/­apple/­foundationdbwww.memcached.orgspark.apache.org/­sqlgithub.com/­STSSoft/­STSdb4github.com/­ydb-platform/­ydb
ydb.tech
Technical documentationapple.github.io/­foundationdbgithub.com/­memcached/­memcached/­wikispark.apache.org/­docs/­latest/­sql-programming-guide.htmlydb.tech/­en/­docs
DeveloperFoundationDBDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalApache Software FoundationSTS Soft SCYandex
Initial release20132003201420112019
Current release6.2.28, November 20201.6.27, May 20243.5.0 ( 2.13), September 20234.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSD licenseOpen Source infoApache 2.0Open Source infoGPLv2, commercial license availableOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CScalaC#
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
Unix
Windows
Linux
OS X
Windows
WindowsLinux
Data schemeschema-free infosome layers support schemasschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateno infosome layers support typingnoyesyes infoprimitive types and user defined types (classes)yes
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 indexesnonononoyes
SQL infoSupport of SQLsupported in specific SQL layer onlynoSQL-like DML and DDL statementsnoSQL-like query language (YQL)
APIs and other access methodsProprietary protocolJDBC
ODBC
.NET Client APIRESTful HTTP API (DynamoDB compatible)
Supported programming languages.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
Java
Python
R
Scala
C#
Java
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresin SQL-layer onlynononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes, utilizing Spark CorenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoRepcached, a Memcached patch, provides this functionallitynonenoneActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesnoyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlnoyes infousing SASL (Simple Authentication and Security Layer) protocolnonoAccess rights defined for Yandex Cloud users

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FoundationDBMemcachedSpark SQLSTSdbYDB
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