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

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

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonAmazon Redshift  Xexclude from comparisonApache Druid  Xexclude from comparisonApache Kylin  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 dataA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stack
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score74.07
Rank#17  Overall
#3  Document stores
#2  Key-value stores
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score1.18
Rank#172  Overall
#79  Relational DBMS
Websiteaws.amazon.com/­dynamodbaws.amazon.com/­redshiftdruid.apache.orgkylin.apache.org
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.aws.amazon.com/­redshiftdruid.apache.org/­docs/­latest/­designkylin.apache.org/­docs
DeveloperAmazonAmazon (based on PostgreSQL)Apache Software Foundation and contributorsApache Software Foundation, originally contributed from eBay Inc
Initial release2012201220122015
Current release29.0.1, April 20243.1.0, July 2020
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialOpen Source infoApache license v2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaJava
Server operating systemshostedhostedLinux
OS X
Unix
Linux
Data schemeschema-freeyesyes infoschema-less columns are supportedyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesrestrictedyesyes
SQL infoSupport of SQLnoyes infodoes not fully support an SQL-standardSQL for queryingANSI SQL for queries (using Apache Calcite)
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
JDBC
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP 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)nonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencyImmediate 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 datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
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 DruidApache Kylin
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