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DBMS > DolphinDB vs. GRAKN.AI vs. MongoDB

System Properties Comparison DolphinDB vs. GRAKN.AI vs. MongoDB

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonGRAKN.AI  Xexclude from comparisonMongoDB  Xexclude from comparison
DescriptionTime Series DBMS for big data, integrated with a lightweight distributed computing framework and a vector programming languageGrakn is a distributed, hyper-relational database for managing complex data that serves as a knowledge base for cognitive/AI systems.One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelTime Series DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Document store
Secondary database modelsSearch engine infointegrated Lucene index, currently in MongoDB Atlas only.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.18
Rank#259  Overall
#19  Time Series DBMS
Score0.23
Rank#248  Overall
#19  Graph DBMS
#116  Relational DBMS
Score421.12
Rank#5  Overall
#1  Document stores
Websitewww.dolphindb.comgrakn.aiwww.mongodb.com
Technical documentationwww.dolphindb.com/­helpdev.grakn.ai/­docsdocs.mongodb.com/­manual
DeveloperDolphinDB, IncGrakn Labs LtdMongoDB, Inc
Initial release201820162009
Current release1.6.1, December 20194.2.2, December 2019
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoGPL Version 3, commercial licenses availableOpen 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

Providers of DBaaS offerings, please contact us to be listed.
MongoDB Atlas: Deploy a fully managed cloud database on-demand and ready for use in minutes. Available on AWS, Azure, and GCP.
Implementation languageC++JavaC++
Server operating systemsLinux
Windows
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-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 dateyesyesyes 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.nono
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL-like query languagenoRead-only SQL queries via the MongoDB Connector for BI
APIs and other access methodsJDBC
ODBC
console (shell)
gRPC protocol
Workbase (visualisation software)
proprietary protocol using JSON
Supported programming languagesC#
C++
Java
JavaScript
Python
R
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Actionscript infoinofficial driver
C
C#
C++
Clojure infoinofficial driver
ColdFusion infoinofficial driver
D infoinofficial driver
Dart infoinofficial driver
Delphi infoinofficial driver
Erlang
Go
Groovy infoinofficial driver
Haskell
Java
JavaScript
Lisp infoinofficial driver
Lua infoinofficial driver
MatLab infoinofficial driver
Perl
PHP
PowerShell infoinofficial driver
Prolog infoinofficial driver
Python
R infoinofficial driver
Ruby
Scala
Smalltalk infoinofficial driver
Server-side scripts infoStored proceduresyesnoJavaScript
Triggersnonoyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoby using CassandraSharding infopartitioned by hashed, ranged, or zoned sharding keys
Replication methods infoMethods for redundantly storing data on multiple nodesyesMaster-master replication infoby using CassandraMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoby using Apache Kafka and Apache Zookeeperyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynono infosubstituted by the relationship featureno infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infooptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlAdministrators, Users, Groupsyes infoat REST API level; other APIs in progressAccess rights for users and roles
More information provided by the system vendor
DolphinDBGRAKN.AIMongoDB
Specific characteristicsGrakn is the knowledge graph to organise complex networks of data and making it queryable,...
» more
MongoDB is the leading modern, general purpose data platform, designed to unleash...
» more
Competitive advantagesExpressive and flexible data model: The meta-schema of Grakn allows for modelling...
» more
The MongoDB Data Platform can be used by developers building OLTP and analytical...
» more
Typical application scenariosLife sciences : Grakn makes working with biological data much easier and accelerates...
» more
Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metrics70 million downloads (growing at more than 30 thousand downloads per day). 15,000+...
» more
Licensing and pricing modelsAGPL and Commercial . The commercial license is priced based on cluster resources...
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
DolphinDBGRAKN.AIMongoDB
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Conferences and events

Grakn Cosmos, the universal conference of technologies built using Grakn
London, UK, 6-7 February 2020

Recent citations in the news

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26 October 2017, YourStory.com

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