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DBMS > Amazon DocumentDB vs. Apache Doris vs. Datastax Enterprise vs. IBM Cloudant vs. Microsoft Azure Cosmos DB

System Properties Comparison Amazon DocumentDB vs. Apache Doris vs. Datastax Enterprise vs. IBM Cloudant vs. Microsoft Azure Cosmos DB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Doris  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAn MPP-based analytics DBMS embracing the MySQL protocolDataStax 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.Database as a Service offering based on Apache CouchDBGlobally distributed, horizontally scalable, multi-model database service
Primary database modelDocument storeRelational DBMSWide column storeDocument storeDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score5.80
Rank#60  Overall
#4  Wide column stores
Score2.68
Rank#106  Overall
#20  Document stores
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websiteaws.amazon.com/­documentdbdoris.apache.org
github.com/­apache/­doris
www.datastax.com/­products/­datastax-enterprisewww.ibm.com/­products/­cloudantazure.microsoft.com/­services/­cosmos-db
Technical documentationaws.amazon.com/­documentdb/­resourcesgithub.com/­apache/­doris/­wikidocs.datastax.comcloud.ibm.com/­docs/­Cloudantlearn.microsoft.com/­azure/­cosmos-db
DeveloperApache Software Foundation, originally contributed from BaiduDataStaxIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Microsoft
Initial release20192017201120102014
Current release1.2.2, February 20236.8, April 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesyes
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 languageJavaJavaErlang
Server operating systemshostedLinuxLinux
OS X
hostedhosted
Data schemeschema-freeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnoyes 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.nononono
Secondary indexesyesyesyesyesyes infoAll properties auto-indexed by default
SQL infoSupport of SQLnoyesSQL-like DML and DDL statements (CQL); Spark SQLnoSQL-like query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
MySQL client
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
RESTful HTTP/JSON APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
JavaC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Server-side scripts infoStored proceduresnouser defined functionsnoView functions (Map-Reduce) in JavaScriptJavaScript
TriggersnonoyesyesJavaScript
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding infono "single point of failure"ShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnoneconfigurable replication factor, datacenter aware, advanced replication for edge computingMulti-source replication
Source-replica replication
yes 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)noyesyeswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session 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 operationsno infoatomic operations within a document possibleMulti-item ACID transactions with snapshot isolation within a partition
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoOptimistic lockingyes
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.noyesno
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardAccess rights for users can be defined per objectAccess rights for users can be defined per databaseAccess rights can be defined down to the item level
More information provided by the system vendor
Amazon DocumentDBApache DorisDatastax EnterpriseIBM CloudantMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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 DocumentDBApache DorisDatastax EnterpriseIBM CloudantMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
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