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DBMS > Amazon Aurora vs. Apache Drill vs. Apache Druid vs. IBM Cloudant

System Properties Comparison Amazon Aurora vs. Apache Drill vs. Apache Druid vs. IBM Cloudant

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonApache Drill  Xexclude from comparisonApache Druid  Xexclude from comparisonIBM Cloudant  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDatabase as a Service offering based on Apache CouchDB
Primary database modelRelational DBMSDocument store
Relational DBMS
Relational DBMS
Time Series DBMS
Document store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score2.68
Rank#106  Overall
#20  Document stores
Websiteaws.amazon.com/­rds/­auroradrill.apache.orgdruid.apache.orgwww.ibm.com/­products/­cloudant
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldrill.apache.org/­docsdruid.apache.org/­docs/­latest/­designcloud.ibm.com/­docs/­Cloudant
DeveloperAmazonApache Software FoundationApache Software Foundation and contributorsIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014
Initial release2015201220122010
Current release1.20.3, January 202329.0.1, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache license v2commercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaErlang
Server operating systemshostedLinux
OS X
Windows
Linux
OS X
Unix
hosted
Data schemeyesschema-freeyes infoschema-less columns are supportedschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yesnonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesSQL SELECT statement is SQL:2003 compliantSQL for queryingno
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
JDBC
RESTful HTTP/JSON API
RESTful HTTP/JSON API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++Clojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
Java
JavaScript
Objective-C
PHP
Ruby
Server-side scripts infoStored proceduresyesuser defined functionsnoView functions (Map-Reduce) in JavaScript
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infomanual/auto, time-basedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes, via HDFS, S3 or other storage enginesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono infoatomic operations within a document possible
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoOptimistic locking
Durability infoSupport for making data persistentyesDepending on the underlying data sourceyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesDepending on the underlying data sourcenono
User concepts infoAccess controlfine grained access rights according to SQL-standardDepending on the underlying data sourceRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users can be defined per database

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More resources
Amazon AuroraApache DrillApache DruidIBM Cloudant
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