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DBMS > Dragonfly vs. Manticore Search vs. MongoDB

System Properties Comparison Dragonfly vs. Manticore Search vs. MongoDB

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Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonManticore Search  Xexclude from comparisonMongoDB  Xexclude from comparison
DescriptionA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceMulti-storage database for search, including full-text search.One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelKey-value storeSearch engineDocument store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibrarySpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#261  Overall
#38  Key-value stores
Score0.29
Rank#302  Overall
#21  Search engines
Score421.08
Rank#5  Overall
#1  Document stores
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
manticoresearch.comwww.mongodb.com
Technical documentationwww.dragonflydb.io/­docsmanual.manticoresearch.comwww.mongodb.com/­docs/­manual
DeveloperDragonflyDB team and community contributorsManticore SoftwareMongoDB, Inc
Initial release202320172009
Current release1.0, March 20236.0, February 20236.0.7, June 2023
License infoCommercial or Open SourceOpen Source infoBSL 1.1Open Source infoGPL version 2Open Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
Cloud-based only infoOnly available as a cloud servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++
Server operating systemsLinuxFreeBSD
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemescheme-freeFixed schemaschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
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.noCan index from XML
Secondary indexesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoSQL-like query languageRead-only SQL queries via the MongoDB Atlas SQL Interface
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization ProtocolBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
Supported programming languagesC
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
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Kotlin
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
Server-side scripts infoStored proceduresLuauser defined functionsJavaScript
Triggerspublish/subscribe channels provide some trigger functionalitynoyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSynchronous replication based on Galera libraryMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Foreign keys infoReferential integritynonono infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsyes infoisolated transactions for atomic changes and binary logging for safe writesMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yes infooptional, enabled by default
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlPassword-based authenticationnoAccess rights for users and roles
More information provided by the system vendor
DragonflyManticore SearchMongoDB
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DragonflyManticore SearchMongoDB
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