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DBMS > Amazon DocumentDB vs. Druid

System Properties Comparison Amazon DocumentDB vs. Druid

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Our visitors often compare Amazon DocumentDB and Druid with MongoDB, Elasticsearch and Microsoft Azure Cosmos DB.

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonDruid  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceOpen-source analytics data store designed for OLAP queries on timeseries data
Primary database modelDocument storeRelational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.41
Rank#213  Overall
#30  Document stores
Score1.73
Rank#111  Overall
#55  Relational DBMS
#7  Time Series DBMS
Websiteaws.amazon.com/­documentdbdruid.io
Technical documentationaws.amazon.com/­documentdb/­resourcesdruid.io/­docs/­latest/­design/­index.html
DeveloperMetamarkets Group and contributors
Initial release20192012
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshostedLinux
OS X
Unix
Data schemeschema-freeyes infoschema-less columns are supported
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLnoSQL support via Apache Calcite adapter
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JSON over HTTP
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
Server-side scripts infoStored proceduresnono
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyes, via HDFS, S3 or other storage engines
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
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 rolesno infoavailable via extensions

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More resources
Amazon DocumentDBDruid
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