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

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

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudGlobally distributed, horizontally scalable, multi-model database serviceEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelDocument store
Key-value store
Document store
Graph DBMS
Key-value store
Wide column store
Key-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score75.58
Rank#16  Overall
#3  Document stores
#2  Key-value stores
Score22.13
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score3.06
Rank#82  Overall
#11  Key-value stores
Websiteaws.amazon.com/­dynamodbazure.microsoft.com/­services/­cosmos-dbrocksdb.org
Technical documentationdocs.aws.amazon.com/­dynamodblearn.microsoft.com/­azure/­cosmos-dbgithub.com/­facebook/­rocksdb/­wiki
DeveloperAmazonMicrosoftFacebook, Inc.
Initial release201220142013
Current release9.4.0, June 2024
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemshostedhostedLinux
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON typesno
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 indexesyesyes infoAll properties auto-indexed by defaultno
SQL infoSupport of SQLnoSQL-like query languageno
APIs and other access methodsRESTful HTTP APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
C++ API
Java API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnoJavaScriptno
Triggersyes infoby integration with AWS LambdaJavaScript
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud serviceyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)with Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Bounded 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 regionMulti-item ACID transactions with snapshot isolation within a partitionyes
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)Access rights can be defined down to the item levelno

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More resources
Amazon DynamoDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBRocksDB
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Recent citations in the news

Amazon DynamoDB re:Invent 2024 recap
19 December 2024, AWS Blog

AWS introduces Amazon Aurora DSQL and DynamoDB enhancements for multi-region workloads
3 December 2024, SiliconANGLE News

New Amazon DynamoDB zero-ETL integration with Amazon SageMaker Lakehouse | Amazon Web Services
3 December 2024, AWS Blog

Vector search for Amazon DynamoDB with zero ETL for Amazon OpenSearch Service
2 October 2024, AWS Blog

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17 October 2024, AWS Blog

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9 May 2024, Microsoft

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9 July 2024, InfoWorld

Microsoft’s new DocumentDB rethinks NoSQL on PostgreSQL
30 January 2025, InfoWorld

Share.Market redefines the investment experience with Microsoft Azure
13 September 2024, Microsoft

Microsoft Build 2024: Cosmos DB for NoSQL gets vector search
21 May 2024, InfoWorld

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CORRECTING and REPLACING Kioxia Demonstrates Flexible Data Placement-Enabled SSD Running RocksDB at 2024 OCP Global Summit
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21 September 2020, Open Source For You

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