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DBMS > Amazon DocumentDB vs. Brytlyt vs. Dragonfly vs. EsgynDB vs. NuoDB

System Properties Comparison Amazon DocumentDB vs. Brytlyt vs. Dragonfly vs. EsgynDB vs. NuoDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBrytlyt  Xexclude from comparisonDragonfly  Xexclude from comparisonEsgynDB  Xexclude from comparisonNuoDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionNuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelDocument storeRelational DBMSKey-value storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score0.49
Rank#261  Overall
#38  Key-value stores
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Websiteaws.amazon.com/­documentdbbrytlyt.iogithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.esgyn.cnwww.3ds.com/­nuodb-distributed-sql-database
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.brytlyt.iowww.dragonflydb.io/­docsdoc.nuodb.com
DeveloperBrytlytDragonflyDB team and community contributorsEsgynDassault Systèmes infooriginally NuoDB, Inc.
Initial release20192016202320152013
Current release5.0, August 20231.0, March 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSL 1.1commercialcommercial infolimited edition free
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAC++C++, JavaC++
Server operating systemshostedLinux
OS X
Windows
LinuxLinuxhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeschema-freeyesscheme-freeyesyes
Typing infopredefined data types such as float or dateyesyesstrings, hashes, lists, sets, sorted sets, bit arraysyesyes
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.noyes infospecific XML-type available, but no XML query functionality.nonono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnoyesnoyesyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
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
All languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLLuaJava Stored ProceduresJava, SQL
Triggersnoyespublish/subscribe channels provide some trigger functionalitynoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingdata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replicationSource-replica replicationMulti-source replication between multi datacentersyes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDAtomic execution of command blocks and scriptsACIDACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesyesyes, strict serializability by the serveryesyes infoMVCC
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTemporary table
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardPassword-based authenticationfine grained access rights according to SQL-standardStandard SQL roles/ privileges, Administrative Users

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More resources
Amazon DocumentDBBrytlytDragonflyEsgynDBNuoDB
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