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DBMS > Amazon DocumentDB vs. Apache Druid vs. Firebase Realtime Database

System Properties Comparison Amazon DocumentDB vs. Apache Druid vs. Firebase Realtime Database

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Druid  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.
Primary database modelDocument storeRelational DBMS
Time Series DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.80
Rank#126  Overall
#24  Document stores
Score3.18
Rank#84  Overall
#45  Relational DBMS
#7  Time Series DBMS
Score13.43
Rank#39  Overall
#6  Document stores
Websiteaws.amazon.com/­documentdbdruid.apache.orgfirebase.google.com/­products/­realtime-database
Technical documentationaws.amazon.com/­documentdb/­resourcesdruid.apache.org/­docs/­latest/­designfirebase.google.com/­docs/­database
DeveloperApache Software Foundation and contributorsGoogle infoacquired by Google 2014
Initial release201920122012
Current release30.0.0, June 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercial
Cloud-based only infoOnly available as a cloud serviceyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemshostedLinux
OS X
Unix
hosted
Data schemeschema-freeyes infoschema-less columns are supportedschema-free
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLnoSQL for queryingno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
RESTful HTTP/JSON API
Android
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
Java
JavaScript
Objective-C
Server-side scripts infoStored proceduresnonolimited functionality with using 'rules'
TriggersnonoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infomanual/auto, time-based
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)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoyes
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 rolesRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyes, based on authentication and database rules

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More resources
Amazon DocumentDBApache DruidFirebase Realtime Database
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