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DBMS > Amazon DocumentDB vs. Microsoft Azure Cosmos DB vs. ToroDB vs. Yanza

System Properties Comparison Amazon DocumentDB vs. Microsoft Azure Cosmos DB vs. ToroDB vs. Yanza

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonToroDB  Xexclude from comparisonYanza  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceGlobally distributed, horizontally scalable, multi-model database serviceA MongoDB-compatible JSON document store, built on top of PostgreSQLTime Series DBMS for IoT Applications
Primary database modelDocument storeDocument store
Graph DBMS
Key-value store
Wide column store
Document storeTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#137  Overall
#24  Document stores
Score29.85
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websiteaws.amazon.com/­documentdbazure.microsoft.com/­services/­cosmos-dbgithub.com/­torodb/­serveryanza.com
Technical documentationaws.amazon.com/­documentdb/­resourceslearn.microsoft.com/­azure/­cosmos-db
DeveloperMicrosoft8KdataYanza
Initial release2019201420162015
License infoCommercial or Open SourcecommercialcommercialOpen Source infoAGPL-V3commercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesyesnono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshostedhostedAll OS with a Java 7 VMWindows
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON typesyes infostring, integer, double, boolean, date, object_idno
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.nonono
Secondary indexesyesyes infoAll properties auto-indexed by defaultno
SQL infoSupport of SQLnoSQL-like query languageno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
any language that supports HTTP calls
Server-side scripts infoStored proceduresnoJavaScriptno
TriggersnoJavaScriptnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoImplicit feature of the cloud serviceShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes infoImplicit feature of the cloud serviceSource-replica replicationnone
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 systemImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsMulti-item ACID transactions with snapshot isolation within a partitionnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights can be defined down to the item levelAccess rights for users and rolesno

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More resources
Amazon DocumentDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBToroDBYanza
Recent citations in the news

Vector search for Amazon DocumentDB (with MongoDB compatibility) is now generally available | Amazon Web Services
29 November 2023, AWS Blog

Reduce cost and improve performance by migrating to Amazon DocumentDB 5.0 | Amazon Web Services
15 April 2024, AWS Blog

AWS announces Amazon DocumentDB I/O-Optimized
21 November 2023, AWS Blog

AWS announces vector search for Amazon DocumentDB
29 November 2023, AWS Blog

Mask sensitive Amazon DocumentDB log data with Amazon CloudWatch Logs data protection | Amazon Web Services
16 April 2024, AWS Blog

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10 November 2023, InfoQ.com

How to Migrate Azure Cosmos DB Databases | by Arwin Lashawn
25 August 2023, DataDrivenInvestor

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