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DBMS > Amazon Redshift vs. Apache Druid

System Properties Comparison Amazon Redshift vs. Apache Druid

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonApache Druid  Xexclude from comparison
DescriptionLarge 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 modelRelational DBMSRelational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score26.17
Rank#31  Overall
#18  Relational DBMS
Score2.73
Rank#111  Overall
#57  Relational DBMS
#6  Time Series DBMS
Websiteaws.amazon.com/­redshiftdruid.apache.org
Technical documentationdocs.aws.amazon.com/­redshiftdruid.apache.org/­docs/­latest/­design
DeveloperAmazon (based on PostgreSQL)Apache Software Foundation and contributors
Initial release20122012
Current release0.22.1, December 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2
Cloud-based only infoOnly available as a cloud serviceyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava
Server operating systemshostedLinux
OS X
Unix
Data schemeyesyes infoschema-less columns are supported
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 indexesrestrictedyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardSQL for querying
APIs and other access methodsJDBC
ODBC
JDBC
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBCClojure
JavaScript
PHP
Python
R
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions infoin Pythonno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infomanual/auto, time-based
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, via HDFS, S3 or other storage engines
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine 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 RedshiftApache Druid
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