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DBMS > Amazon DynamoDB vs. Amazon Redshift vs. Apache Druid

System Properties Comparison Amazon DynamoDB vs. Amazon Redshift vs. Apache Druid

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonAmazon Redshift  Xexclude from comparisonApache Druid  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudLarge scale data warehouse service for use with business intelligence toolsOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality data
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score79.69
Rank#15  Overall
#2  Document stores
#2  Key-value stores
Score22.03
Rank#33  Overall
#19  Relational DBMS
Score2.49
Rank#125  Overall
#62  Relational DBMS
#8  Time Series DBMS
Websiteaws.amazon.com/­dynamodbaws.amazon.com/­redshiftdruid.apache.org
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.aws.amazon.com/­redshiftdruid.apache.org/­docs/­latest/­design
DeveloperAmazonAmazon (based on PostgreSQL)Apache Software Foundation and contributors
Initial release201220122012
Current release25.0.0, January 2023
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialOpen Source infoApache license v2
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava
Server operating systemshostedhostedLinux
OS X
Unix
Data schemeschema-freeyesyes infoschema-less columns are supported
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.nono
Secondary indexesyesrestrictedyes
SQL infoSupport of SQLnoyes infodoes not fully support an SQL-standardSQL for querying
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
JDBC
RESTful HTTP/JSON API
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBCClojure
JavaScript
PHP
Python
R
Ruby
Scala
Server-side scripts infoStored proceduresnouser defined functions infoin Pythonno
Triggersyes infoby integration with AWS Lambdanono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infomanual/auto, time-based
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes, 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 systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoinformational only, not enforced by the systemno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoACID across one or more tables within a single AWS account and regionACIDno
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.yesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardRBAC using LDAP or Druid internals for users and groups for read/write by datasource and system

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More resources
Amazon DynamoDBAmazon RedshiftApache Druid
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