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DBMS > Amazon DocumentDB vs. Apache Drill

System Properties Comparison Amazon DocumentDB vs. Apache Drill

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Drill  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud Storage
Primary database modelDocument storeDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.69
Rank#133  Overall
#22  Document stores
Score2.73
Rank#105  Overall
#19  Document stores
#54  Relational DBMS
Websiteaws.amazon.com/­documentdbdrill.apache.org
Technical documentationaws.amazon.com/­documentdb/­resourcesdrill.apache.org/­docs
DeveloperApache Software Foundation
Initial release20192012
Current release1.19.0, June 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Server operating systemshostedLinux
OS X
Windows
Data schemeschema-freeschema-free
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 indexesyesno
SQL infoSupport of SQLnoSQL SELECT statement is SQL:2003 compliant
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++
Server-side scripts infoStored proceduresnouser defined functions
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 replicas
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
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 persistentyesDepending on the underlying data source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data source
User concepts infoAccess controlAccess rights for users and rolesDepending on the underlying data source

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More resources
Amazon DocumentDBApache Drill
Recent citations in the news

Amazon DocumentDB adds Global Clusters
2 June 2021, ZDNet

AWS DocumentDB not MongoDB-compatible, says MongoDB Inc
6 December 2021, The Register

Five risks of moving your database to the cloud
25 January 2022, MIT Technology Review

SAS Viya is living large on Azure
24 January 2022, ZDNet

Introduction to Amazon DocumentDB With MongoDB Compatibility
19 October 2020, AiThority

provided by Google News

Apache Drill improves big data SQL query engine
31 August 2021, TechTarget

Apache Drill Poised to Crack Tough Data Challenges
19 May 2015, Datanami

MapR Advances Support for Flexible and High Performance Analytics on JSON and S3 Data with Apache Drill
30 January 2019, Business Wire

Apache Drill Adds YARN Support
17 April 2018, iProgrammer

Google’s Real Time Big Data Tool Cloned By Apache Drill
17 August 2012, TechCrunch

provided by Google News

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