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DBMS > Amazon DynamoDB vs. Apache Phoenix vs. Hive

System Properties Comparison Amazon DynamoDB vs. Apache Phoenix vs. Hive

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Editorial information provided by DB-Engines
NameAmazon DynamoDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonHive  Xexclude from comparison
DescriptionHosted, scalable database service by Amazon with the data stored in Amazons cloudA scale-out RDBMS with evolutionary schema built on Apache HBasedata warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score84.46
Rank#16  Overall
#2  Document stores
#2  Key-value stores
Score3.01
Rank#103  Overall
#52  Relational DBMS
Score81.61
Rank#17  Overall
#11  Relational DBMS
Websiteaws.amazon.com/­dynamodbphoenix.apache.orghive.apache.org
Technical documentationdocs.aws.amazon.com/­dynamodbphoenix.apache.orgcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperAmazonApache Software FoundationApache Software Foundation infoinitially developed by Facebook
Initial release201220142012
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20193.1.2, August 2019
License infoCommercial or Open Sourcecommercial infofree tier for a limited amount of database operationsOpen Source infoApache Version 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemshostedLinux
Unix
Windows
All OS with a Java VM
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesyes
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.no
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP APIJDBCJDBC
ODBC
Thrift
Supported programming languages.Net
ColdFusion
Erlang
Groovy
Java
JavaScript
Perl
PHP
Python
Ruby
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsyes infouser defined functions and integration of map-reduce
Triggersyes infoby integration with AWS Lambdanono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Hadoop integrationyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency or Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
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.yes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users, groups and roles

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More resources
Amazon DynamoDBApache PhoenixHive
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Recent citations in the news

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