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

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

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonJaguarDB  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 cloudPerformant, highly scalable DBMS for AI and IoT applicationsGlobally distributed, horizontally scalable, multi-model database service
Primary database modelDocument store
Key-value store
Key-value storeDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score64.58
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score0.00
Rank#337  Overall
#60  Key-value stores
Score30.40
Rank#24  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websiteaws.amazon.com/­dynamodbwww.datajaguar.comazure.microsoft.com/­services/­cosmos-db
Technical documentationdocs.aws.amazon.com/­dynamodbwww.datajaguar.com/­support.phpdocs.microsoft.com/­en-us/­azure/­cosmos-db
DeveloperAmazonDataJaguar, Inc.Microsoft
Initial release201220152014
Current release2.9.4 September 2018
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoGPL V3.0commercial
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++ infothe server part. Clients available in other languages
Server operating systemshostedLinuxhosted
Data schemeschema-freeyesschema-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 indexesyesyesyes infoAll properties auto-indexed by default
SQL infoSupport of SQLnoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSQL-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++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresnonoJavaScript
Triggersyes infoby integration with AWS LambdanoJavaScript
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesMaster-master replicationyes 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)nowith 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
Eventual 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 regionnoMulti-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.no
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)rights management via user accountsAccess rights can be defined down to the item level
More information provided by the system vendor
Amazon DynamoDBJaguarDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
Specific characteristicsSQL support, group by, order by, join
» more
Competitive advantagesExtremely easy to scale-out (in seconds) 100,000 times faster
» more
Typical application scenariosIoT data, time series data, AI data. Any type of numerical data.
» more
Key customersQuantea, 2PiDay, Synqy, SinoLogistics, IIVI
» more
Market metricsAdvertising awareness, installed base, brand image, market share
» more
Licensing and pricing modelsFree-trial license, per-node license, and subscription license.
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

Dynobase: Professional DynamoDB GUI Client. Available for Mac, Windows & Linux.
» more
CData: Connect to Big Data & NoSQL through standard Drivers.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon DynamoDBJaguarDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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