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DBMS > Amazon DynamoDB vs. IBM Cloudant vs. Realm vs. Spark SQL

System Properties Comparison Amazon DynamoDB vs. IBM Cloudant vs. Realm vs. Spark SQL

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonRealm  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudDatabase as a Service offering based on Apache CouchDBA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Key-value store
Document storeDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score70.73
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score3.12
Rank#91  Overall
#17  Document stores
Score9.13
Rank#48  Overall
#8  Document stores
Score18.98
Rank#36  Overall
#22  Relational DBMS
Websiteaws.amazon.com/­dynamodbwww.ibm.com/­cloud/­cloudantrealm.iospark.apache.org/­sql
Technical documentationdocs.aws.amazon.com/­dynamodbcloud.ibm.com/­docs/­Cloudantrealm.io/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAmazonIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Realm, acquired by MongoDB in May 2019Apache Software Foundation
Initial release2012201020142014
Current release3.1.1, March 2021
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangScala
Server operating systemshostedhostedAndroid
Backend: server-less
iOS
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLnononoSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP APIRESTful HTTP/JSON APIJDBC
ODBC
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoView functions (Map-Reduce) in JavaScriptno inforuns within the applications so server-side scripts are unnecessaryno
Triggersyes infoby integration with AWS Lambdayesyes infoChange Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
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 regionno infoatomic operations within a document possibleACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyes
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.noyes infoIn-Memory realmno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users can be defined per databaseyesno
More information provided by the system vendor
Amazon DynamoDBIBM CloudantRealmSpark SQL
Specific characteristicsNow a part of MongoDB Data Platform , Realm Database is the fast, easy to use, and...
» more
Competitive advantagesRealm ensures offline-first functionality, meaning apps run smoothly and deliver...
» more
Typical application scenariosMobile Consumer Apps First-Line Worker Apps
» more
Key customersCathay Pacific Royal Carribbean Cruise Lines Open Source Database powers apps built...
» more
Market metricsUsed by 100,000+ developers 2 bn installs Currently used in 40k+ applications in...
» more
Licensing and pricing modelsRealm database is licensed under the Apache License v2.0.
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon DynamoDBIBM CloudantRealmSpark SQL
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