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DBMS > Amazon DynamoDB vs. Amazon Redshift vs. Apache Drill vs. Sequoiadb

System Properties Comparison Amazon DynamoDB vs. Amazon Redshift vs. Apache Drill vs. Sequoiadb

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonAmazon Redshift  Xexclude from comparisonApache Drill  Xexclude from comparisonSequoiadb  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 toolsSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageNewSQL database with distributed OLTP and SQL
Primary database modelDocument store
Key-value store
Relational DBMSDocument store
Relational DBMS
Document store
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
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websiteaws.amazon.com/­dynamodbaws.amazon.com/­redshiftdrill.apache.orgwww.sequoiadb.com
Technical documentationdocs.aws.amazon.com/­dynamodbdocs.aws.amazon.com/­redshiftdrill.apache.org/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperAmazonAmazon (based on PostgreSQL)Apache Software FoundationSequoiadb Ltd.
Initial release2012201220122013
Current release1.20.3, January 2023
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationscommercialOpen Source infoApache Version 2Open Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++
Server operating systemshostedhostedLinux
OS X
Windows
Linux
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infooid, date, timestamp, binary, regex
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 indexesyesrestrictednoyes
SQL infoSupport of SQLnoyes infodoes not fully support an SQL-standardSQL SELECT statement is SQL:2003 compliantSQL-like query language
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
JDBC
ODBC
RESTful HTTP API
proprietary protocol using JSON
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBCC++.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnouser defined functions infoin Pythonuser defined functionsJavaScript
Triggersyes infoby integration with AWS Lambdanonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integritynoyes infoinformational only, not enforced by the systemnono
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 regionACIDnoDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesDepending on the underlying data sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesDepending on the underlying data sourceno
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-standardDepending on the underlying data sourcesimple password-based access control

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More resources
Amazon DynamoDBAmazon RedshiftApache DrillSequoiadb
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