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DBMS > Amazon DynamoDB vs. DolphinDB vs. Microsoft Azure Cosmos DB

System Properties Comparison Amazon DynamoDB vs. DolphinDB vs. Microsoft Azure Cosmos DB

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudTime Series DBMS for big data, integrated with a lightweight distributed computing framework and a vector programming languageGlobally distributed, horizontally scalable, multi-model database service
Primary database modelDocument store
Key-value store
Time Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsSpatial 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
Score0.84
Rank#186  Overall
#11  Time Series DBMS
Score33.52
Rank#25  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websiteaws.amazon.com/­dynamodbwww.dolphindb.comazure.microsoft.com/­services/­cosmos-db
Technical documentationdocs.aws.amazon.com/­dynamodbwww.dolphindb.com/­helpdocs.microsoft.com/­azure/­cosmos-db
DeveloperAmazonDolphinDB, IncMicrosoft
Initial release201220182014
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercial infofree community version availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemshostedLinux
Windows
hosted
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infoJSON types
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.no
Secondary indexesyesnoyes infoAll properties auto-indexed by default
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
Java
JavaScript
Python
R
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresnoyesJavaScript
Triggersyes infoby integration with AWS LambdanoJavaScript
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yeswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynonono
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 regionyesMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Administrators, Users, GroupsAccess rights can be defined down to the item level

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More resources
Amazon DynamoDBDolphinDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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Recent citations in the news

NoSQL Databases Market is Booming Worldwide with RavenDB,RavenDB, Amazon DynamoDB
6 April 2021, The Courier

Amazon Adds SQL Support To DynamoDB
21 December 2020, iProgrammer

NoSQL Database Market to Witness Strong Growth Over 2021-2027 | Key Manufacturers Overview- DynamoDB, ObjectLabs Corporation, Skyll, MarkLogic, InfiniteGraph, etc. – The Bisouv Network
7 April 2021, The Bisouv Network

ScyllaDB Adds Amazon DynamoDB-compatible API to Database-as-a-Service Offering
10 June 2020, GlobeNewswire

NoSQL Database Market to Witness Huge Growth by 2027 | DynamoDB, ObjectLabs Corporation, Skyll and Others – SoccerNurds
15 March 2021, SoccerNurds

provided by Google News

NoSQL Software Market Information, Figures and Analytical Insights 2021– 2026 | MongoDB, OrientDB, Amazon, Azure Cosmos DB
9 April 2021, The Courier

Auto Shutdown and Auto Start an Azure VM | IT Ops Talk - Microsoft
4 April 2021, Channel 9

This Microsoft database technology could help you bring your cloud services together
18 March 2021, TechRepublic

Document Databases Software Market Size, Type Segment, Dynamics by Manufacturers: MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase etc. – SoccerNurds
5 April 2021, SoccerNurds

NoSQL Databases Software Market 2021 Growth Analysis by Top Key Players: MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase etc. – SoccerNurds
5 April 2021, SoccerNurds

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