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DBMS > Alibaba Cloud PolarDB vs. IBM Cloudant vs. Riak KV vs. Spark SQL

System Properties Comparison Alibaba Cloud PolarDB vs. IBM Cloudant vs. Riak KV vs. Spark SQL

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Editorial information provided by DB-Engines
NameAlibaba Cloud PolarDB  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonRiak KV  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionA cloud-native relational database compatible with MySQL, PostgreSQL, and Oracle. Designed for business critical applications.Database as a Service offering based on Apache CouchDBDistributed, fault tolerant key-value storeSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSDocument storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#235  Overall
#108  Relational DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score4.01
Rank#79  Overall
#9  Key-value stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitewww.alibabacloud.com/­product/­polardbwww.ibm.com/­products/­cloudantspark.apache.org/­sql
Technical documentationwww.alibabacloud.com/­help/­en/­polardb/­product-overviewcloud.ibm.com/­docs/­Cloudantwww.tiot.jp/­riak-docs/­riak/­kv/­latestspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAlibabaIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014OpenSource, formerly Basho TechnologiesApache Software Foundation
Initial release201020092014
Current release3.2.0, December 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2, commercial enterprise editionOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangErlangScala
Server operating systemshostedhostedLinux
OS X
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonoyes
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 indexesyesyesrestrictedno
SQL infoSupport of SQLyesnonoSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
RESTful HTTP/JSON APIHTTP API
Native Erlang Interface
JDBC
ODBC
Supported programming languagesJava
Python
C#
Java
JavaScript
Objective-C
PHP
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Java
Python
R
Scala
Server-side scripts infoStored proceduresyesView functions (Map-Reduce) in JavaScriptErlangno
Triggersyesyesyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingSharding infono "single point of failure"yes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a document possiblenono
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes
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.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per databaseyes, using Riak Securityno
More information provided by the system vendor
Alibaba Cloud PolarDBIBM CloudantRiak KVSpark SQL
Specific characteristicsPolarDB, previously ApsaraDB for PolarDB, is a cloud-native relational database designed...
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Competitive advantagesWebinar: Top Scientists Live: Tech Secrets to Double 11's Success Revealed. White...
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Typical application scenariosCreating a Robust Cloud-Based Database for Fintech, E-Commerce and Gaming. Learn...
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Licensing and pricing modelsSpecification and pricing. You can use either of the following billing methods to...
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Alibaba Cloud PolarDBIBM CloudantRiak KVSpark SQL
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