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DBMS > Alibaba Cloud AnalyticDB for MySQL vs. FoundationDB vs. LevelDB vs. PouchDB vs. Spark SQL

System Properties Comparison Alibaba Cloud AnalyticDB for MySQL vs. FoundationDB vs. LevelDB vs. PouchDB vs. Spark SQL

Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for MySQL  Xexclude from comparisonFoundationDB  Xexclude from comparisonLevelDB  Xexclude from comparisonPouchDB  Xexclude from comparisonSpark SQL  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionA real-time data warehousing service that can process petabytes of data with high concurrency and low latency. It is fully compatible with the MySQL protocol.Ordered key-value store. Core features are complimented by layers.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesJavaScript DBMS with an API inspired by CouchDBSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Key-value storeDocument storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#207  Overall
#96  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score2.28
Rank#115  Overall
#21  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.alibabacloud.com/­product/­analyticdb-for-mysqlgithub.com/­apple/­foundationdbgithub.com/­google/­leveldbpouchdb.comspark.apache.org/­sql
Technical documentationwww.alibabacloud.com/­help/­doc-detail/­93776.htmapple.github.io/­foundationdbgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdpouchdb.com/­guidesspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAlibabaFoundationDBGoogleApache Software FoundationApache Software Foundation
Initial release2013201120122014
Current release6.2.28, November 20201.23, February 20217.1.1, June 20193.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoBSDOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++JavaScriptScala
Server operating systemshostedLinux
OS X
Windows
Illumos
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Data schemeyesschema-free infosome layers support schemasschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesno infosome layers support typingnonoyes
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.yesnonono
Secondary indexesyesnonoyes infovia viewsno
SQL infoSupport of SQLyessupported in specific SQL layer onlynonoSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
JDBC
ODBC
Supported programming languagesC#
Java
PHP
Python
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
JavaScriptJava
Python
R
Scala
Server-side scripts infoStored proceduresyesin SQL-layer onlynoView functions in JavaScriptno
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingnoneSharding infowith a proxy-based framework, named couchdb-loungeyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesnoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesin SQL-layer onlynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnononono
More information provided by the system vendor
Alibaba Cloud AnalyticDB for MySQLFoundationDBLevelDBPouchDBSpark SQL
Specific characteristicsA real-time data warehousing service that can process PB data with high concurrency...
» more
Competitive advantagesTPC Benchmark: The world leading result in TPC-DS benchmark . TPC-H benchmark for...
» more
Licensing and pricing modelsAvailable regions: America US Virginia US Silicon Valley Asia China Hong Kong India...
» more

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More resources
Alibaba Cloud AnalyticDB for MySQLFoundationDBLevelDBPouchDBSpark SQL
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