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DBMS > Amazon DocumentDB vs. Datastax Enterprise vs. Microsoft Azure AI Search vs. Microsoft Azure Cosmos DB vs. Yanza

System Properties Comparison Amazon DocumentDB vs. Datastax Enterprise vs. Microsoft Azure AI Search vs. Microsoft Azure Cosmos DB vs. Yanza

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Search-as-a-service for web and mobile app developmentGlobally distributed, horizontally scalable, multi-model database serviceTime Series DBMS for IoT Applications
Primary database modelDocument storeWide column storeSearch engineDocument store
Graph DBMS
Key-value store
Wide column store
Time Series DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Vector DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score5.80
Rank#60  Overall
#4  Wide column stores
Score5.59
Rank#63  Overall
#7  Search engines
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websiteaws.amazon.com/­documentdbwww.datastax.com/­products/­datastax-enterpriseazure.microsoft.com/­en-us/­services/­searchazure.microsoft.com/­services/­cosmos-dbyanza.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.datastax.comlearn.microsoft.com/­en-us/­azure/­searchlearn.microsoft.com/­azure/­cosmos-db
DeveloperDataStaxMicrosoftMicrosoftYanza
Initial release20192011201520142015
Current release6.8, April 2020V1
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial infofree version available
Cloud-based only infoOnly available as a cloud serviceyesnoyesyesno 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.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJava
Server operating systemshostedLinux
OS X
hostedhostedWindows
Data schemeschema-freeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes 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.nononono
Secondary indexesyesyesyesyes infoAll properties auto-indexed by defaultno
SQL infoSupport of SQLnoSQL-like DML and DDL statements (CQL); Spark SQLnoSQL-like query languageno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
RESTful HTTP APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
JavaScript
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 proceduresnononoJavaScriptno
TriggersnoyesnoJavaScriptyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infono "single point of failure"Sharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasconfigurable replication factor, datacenter aware, advanced replication for edge computingyes infoImplicit feature of the cloud serviceyes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yesnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsno infoAtomicity and isolation are supported for single operationsnoMulti-item ACID transactions with snapshot isolation within a partitionno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users can be defined per objectyes infousing Azure authenticationAccess rights can be defined down to the item levelno
More information provided by the system vendor
Amazon DocumentDBDatastax EnterpriseMicrosoft Azure AI SearchMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBYanza
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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More resources
Amazon DocumentDBDatastax EnterpriseMicrosoft Azure AI SearchMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBYanza
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