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DBMS > Amazon DocumentDB vs. LeanXcale vs. Microsoft Azure Cosmos DB

System Properties Comparison Amazon DocumentDB vs. LeanXcale vs. Microsoft Azure Cosmos DB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonLeanXcale  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceFull ACID, highly scalable DBMS for OLTP and OLAP applications with transactions on distributed dataGlobally distributed, horizontally scalable, multi-model database service
Primary database modelDocument storeKey-value store
Relational DBMS
Document store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#166  Overall
#25  Document stores
Score0.20
Rank#257  Overall
#43  Key-value stores
#121  Relational DBMS
Score31.95
Rank#24  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Websiteaws.amazon.com/­documentdbwww.leanxcale.comazure.microsoft.com/­services/­cosmos-db
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.microsoft.com/­en-us/­azure/­cosmos-db
DeveloperLeanXcaleMicrosoft
Initial release201920152014
License infoCommercial or Open Sourcecommercialcommercialcommercial
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.
Server operating systemshostedhosted
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes 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 indexesyesyes infoAll properties auto-indexed by default
SQL infoSupport of SQLnoyes infothrough Apache DerbySQL-like query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
proprietary key/value interface
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table 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
Server-side scripts infoStored proceduresnoJavaScript
TriggersnoJavaScript
Partitioning methods infoMethods for storing different data on different nodesnoneSharding 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 replicasyes 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 systemImmediate ConsistencyImmediate 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 possibleyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDMulti-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 rolesAccess rights can be defined down to the item level

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