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DBMS > Amazon DynamoDB vs. Databend vs. Newts vs. Realm vs. Riak TS

System Properties Comparison Amazon DynamoDB vs. Databend vs. Newts vs. Realm vs. Riak TS

Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonDatabend  Xexclude from comparisonNewts  Xexclude from comparisonRealm  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityTime 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 KV
Primary database modelDocument store
Key-value store
Relational DBMSTime Series DBMSDocument storeTime Series 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
Score0.30
Rank#287  Overall
#130  Relational DBMS
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
Websiteaws.amazon.com/­dynamodbgithub.com/­datafuselabs/­databend
www.databend.com
opennms.github.io/­newtsrealm.io
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.databend.comgithub.com/­OpenNMS/­newts/­wikirealm.io/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latest
DeveloperAmazonDatabend LabsOpenNMS GroupRealm, acquired by MongoDB in May 2019Open Source, formerly Basho Technologies
Initial release20122021201420142015
Current release1.0.59, April 20233.0.0, September 2022
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache Version 2.0Open Source infoApache 2.0Open SourceOpen Source
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustJavaErlang
Server operating systemshostedhosted
Linux
macOS
Linux
OS X
Windows
Android
Backend: server-less
iOS
Windows
Linux
OS X
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesyesnonoyesrestricted
SQL infoSupport of SQLnoyesnonoyes, limited
APIs and other access methodsRESTful HTTP APICLI Client
JDBC
RESTful HTTP API
HTTP REST
Java API
HTTP API
Native Erlang Interface
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
Rust
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
Server-side scripts infoStored proceduresnononono inforuns within the applications so server-side scripts are unnecessaryErlang
Triggersyes infoby integration with AWS Lambdanonoyes infoChange Listenersyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infobased on CassandranoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneselectable replication factor infobased on Cassandranoneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonononono infolinks between datasets can be stored
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 regionyesnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users with fine-grained authorization concept, user rolesnoyesno

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More resources
Amazon DynamoDBDatabendNewtsRealmRiak TS
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