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DBMS > Amazon DocumentDB vs. Dragonfly vs. HarperDB

System Properties Comparison Amazon DocumentDB vs. Dragonfly vs. HarperDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonDragonfly  Xexclude from comparisonHarperDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceHarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.
Primary database modelDocument storeKey-value storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#124  Overall
#22  Document stores
Score0.50
Rank#245  Overall
#35  Key-value stores
Score0.55
Rank#240  Overall
#38  Document stores
Websiteaws.amazon.com/­documentdbgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.harperdb.io
Technical documentationaws.amazon.com/­documentdb/­resourceswww.dragonflydb.io/­docsdocs.harperdb.io/­docs
DeveloperDragonflyDB team and community contributorsHarperDB
Initial release201920232017
Current release1.0, March 20233.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoBSL 1.1commercial infofree community edition available
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 languageC++Node.js
Server operating systemshostedLinuxLinux
OS X
Data schemeschema-freescheme-freedynamic schema
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysyes infoJSON data types
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 indexesyesnoyes
SQL infoSupport of SQLnonoSQL-like data manipulation statements
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Proprietary protocol infoRESP - REdis Serialization ProtocolJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
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
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Server-side scripts infoStored proceduresnoLuaCustom Functions infosince release 3.1
Triggersnopublish/subscribe channels provide some trigger functionalityno
Partitioning methods infoMethods for storing different data on different nodesnoneA table resides as a whole on one (or more) nodes in a cluster
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replicationyes infothe nodes on which a table resides can be defined
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual 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 operationsAtomic execution of command blocks and scriptsAtomic execution of specific operations
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryes
Durability infoSupport for making data persistentyesyesyes, using LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and rolesPassword-based authenticationAccess rights for users and roles

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More resources
Amazon DocumentDBDragonflyHarperDB
Recent citations in the news

Unlock cost savings using compression with Amazon DocumentDB
25 October 2024, AWS Blog

Unlock the power of parallel indexing in Amazon DocumentDB
19 June 2024, AWS Blog

Amazon DocumentDB zero-ETL integration with Amazon OpenSearch Service is now available
16 May 2024, AWS Blog

Reduce cost and improve performance by migrating to Amazon DocumentDB 5.0
15 April 2024, AWS Blog

AWS announces Amazon DocumentDB zero-ETL integration with Amazon OpenSearch Service
16 May 2024, AWS Blog

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21 March 2023, Business Wire

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12 September 2024, Business Wire

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Defense Innovation Unit Issues Success Memo to HarperDB for its Common Operation Database Prototype
11 September 2024, PR Newswire

HarperDB Attracts Significant Growth Investment from Serent Capital
12 June 2024, Business Wire

DoD Successfully Deploys Commercial AI Solutions for COD Project
10 September 2024, Defense Innovation Unit

Wilson Sonsini Advises Serent Capital on Significant Growth Investment in HarperDB
17 June 2024, wsgr.com

Serent Capital invests in software firm HarperDB
12 June 2024, PE Hub

provided by Google News



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