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DBMS > Amazon DocumentDB vs. Apache Phoenix vs. Dragonfly vs. StarRocks

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

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache Phoenix  Xexclude from comparisonDragonfly  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 HBaseA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceAn 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 DBMSKey-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.49
Rank#261  Overall
#38  Key-value stores
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websiteaws.amazon.com/­documentdbphoenix.apache.orggithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.starrocks.io
Technical documentationaws.amazon.com/­documentdb/­resourcesphoenix.apache.orgwww.dragonflydb.io/­docsdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperApache Software FoundationDragonflyDB team and community contributorsThe Linux Foundation infosince Feb 2023
Initial release2019201420232020
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191.0, March 20232.5.3, March 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoBSL 1.1Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++, Java
Server operating systemshostedLinux
Unix
Windows
LinuxLinux
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesscheme-freeyes
Typing infopredefined data types such as float or dateyesyesstrings, hashes, lists, sets, sorted sets, bit arraysyes
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.nononono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnoyesnoyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCProprietary protocol infoRESP - REdis Serialization ProtocolJDBC
MySQL protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
Java
Server-side scripts infoStored proceduresnouser defined functionsLuauser defined functions
Triggersnonopublish/subscribe channels provide some trigger functionalityno
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
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Hadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDAtomic execution of command blocks and scriptsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, strict serializability by the serveryes
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.yesyesno
User concepts infoAccess controlAccess rights for users and rolesAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyPassword-based authenticationRole based access control and fine grained access rights

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More resources
Amazon DocumentDBApache PhoenixDragonflyStarRocks
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