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DBMS > Amazon DynamoDB vs. Newts vs. Realm vs. Riak TS vs. SQL.JS

System Properties Comparison Amazon DynamoDB vs. Newts vs. Realm vs. Riak TS vs. SQL.JS

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonNewts  Xexclude from comparisonRealm  Xexclude from comparisonRiak TS  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudTime Series DBMS based on CassandraA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVPort of SQLite to JavaScript
Primary database modelDocument store
Key-value store
Time Series DBMSDocument storeTime Series DBMSRelational DBMS
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
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Score0.53
Rank#252  Overall
#116  Relational DBMS
Websiteaws.amazon.com/­dynamodbopennms.github.io/­newtsrealm.iosql.js.org
Technical documentationdocs.aws.amazon.com/­dynamodbgithub.com/­OpenNMS/­newts/­wikirealm.io/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latestsql.js.org/­documentation/­index.html
DeveloperAmazonOpenNMS GroupRealm, acquired by MongoDB in May 2019Open Source, formerly Basho TechnologiesAlon Zakai infoenhancements implemented by others
Initial release20122014201420152012
Current release3.0.0, September 2022
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache 2.0Open SourceOpen SourceOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangJavaScript
Server operating systemshostedLinux
OS X
Windows
Android
Backend: server-less
iOS
Windows
Linux
OS X
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nononono
Secondary indexesyesnoyesrestricted
SQL infoSupport of SQLnononoyes, limitedyes infoSQL-92 is not fully supported
APIs and other access methodsRESTful HTTP APIHTTP REST
Java API
HTTP API
Native Erlang Interface
JavaScript API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Java.Net
Java infowith Android only
Objective-C
React Native
Swift
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
JavaScript
Server-side scripts infoStored proceduresnonono inforuns within the applications so server-side scripts are unnecessaryErlangno
Triggersyes infoby integration with AWS Lambdanoyes infoChange Listenersyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandranoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on Cassandranoneselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistencynone
Foreign keys infoReferential integritynononono infolinks between datasets can be storedyes
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 regionnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-Memory realmyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noyesnono

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More resources
Amazon DynamoDBNewtsRealmRiak TSSQL.JS
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