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DBMS > Amazon DocumentDB vs. Apache Phoenix vs. StarRocks

System Properties Comparison Amazon DocumentDB vs. Apache Phoenix vs. StarRocks

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA scale-out RDBMS with evolutionary schema built on Apache HBaseAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelDocument storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#137  Overall
#24  Document stores
Score2.02
Rank#130  Overall
#63  Relational DBMS
Score1.12
Rank#182  Overall
#82  Relational DBMS
Websiteaws.amazon.com/­documentdbphoenix.apache.orgwww.starrocks.io
Technical documentationaws.amazon.com/­documentdb/­resourcesphoenix.apache.orgdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperApache Software FoundationThe Linux Foundation infosince Feb 2023
Initial release201920142020
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.5.3, March 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, Java
Server operating systemshostedLinux
Unix
Windows
Linux
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCJDBC
MySQL protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Java
Server-side scripts infoStored proceduresnouser defined functionsuser defined functions
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDno
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 rolesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyRole based access control and fine grained access rights

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More resources
Amazon DocumentDBApache PhoenixStarRocks
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