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DBMS > MongoDB vs. Snowflake vs. SQream DB

System Properties Comparison MongoDB vs. Snowflake vs. SQream DB

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Editorial information provided by DB-Engines
NameMongoDB  Xexclude from comparisonSnowflake  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureCloud-based data warehousing service for structured and semi-structured dataa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelDocument storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score493.55
Rank#5  Overall
#1  Document stores
Score58.26
Rank#18  Overall
#12  Relational DBMS
Score0.66
Rank#215  Overall
#107  Relational DBMS
Websitewww.mongodb.comwww.snowflake.comsqream.com
Technical documentationdocs.mongodb.com/­manualdocs.snowflake.net/­manuals/­index.htmldocs.sqream.com
DeveloperMongoDB, IncSnowflake Computing Inc.SQream Technologies
Initial release200920142014
Current release5.0, July 20212020.2, July 2020
License infoCommercial or Open SourceOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.commercialcommercial
Cloud-based only infoOnly available as a cloud serviceno infoMongoDB available as DBaaS (MongoDB Atlas)yesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • ScaleGrid for MongoDB: Fully managed hosting for MongoDB database on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
  • MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.
Implementation languageC++C++, CUDA, Haskell
Server operating systemsLinux
OS X
Solaris
Windows
hostedLinux
Data schemeschema-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.yes infosupport of semi-structured data formats (JSON, XML, Avro)yes
Typing infopredefined data types such as float or dateyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyesyes, ANSI Standard SQL 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.yes
Secondary indexesyesyes
SQL infoSupport of SQLRead-only SQL queries via the MongoDB Connector for BIyesyes
APIs and other access methodsproprietary protocol using JSONCLI Client
JDBC
ODBC
.Net
JDBC
ODBC
Supported programming languagesActionscript 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
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
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresJavaScriptuser defined functionsuser defined functions in Python
Triggersyes infoin MongoDB Atlas onlyno infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.yeshorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-document ACID Transactions with snapshot isolationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infooptional, enabled by defaultyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-memory storage engine introduced with MongoDB version 3.2no
User concepts infoAccess controlAccess rights for users and rolesUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
MongoDBSnowflakeSQream DB
Specific characteristicsMongoDB’s application data platform provides developers a unified interface to power...
» more
Competitive advantagesThe MongoDB platform can be used by developers building transactional, operational,...
» more
Typical application scenariosInternet 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 metrics175 million downloads, over 1.5M Atlas database clusters under management handling...
» more
Licensing and pricing modelsMongoDB 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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More resources
MongoDBSnowflakeSQream DB
DB-Engines blog posts

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Conferences and events

MongoDB & Google Cloud Developer Summit
Virtual Event, 28 October 2021

MongoDB.Local London
London, 9 November 2021

Finished events

Introduction to MongoDB
Webinar, on demand, 27 July 2021 (finished)

Recent citations in the news

How MongoDB Beat Amazon
8 October 2021, The Motley Fool

How to Create Documents in MongoDB
13 October 2021, MakeUseOf

MongoDB Joins LOT Network To Protect Open Innovation For Developers
19 October 2021, PRNewswire

Why MongoDB Stock Is Falling Today
4 October 2021, Motley Fool

How Atlas Is Driving MongoDB's Growth
7 October 2021, Motley Fool

provided by Google News

Big Data Warehousing Platform Snowflake Opens Israeli Office - NoCamels
25 October 2021, Israeli Innovation News

Snowflake Launches Media Data Cloud for Data Collaboration in Media and Advertising Ecosystem
19 October 2021, Business Wire

How Snowflake is supercharging data applications across industries (VB Live)
12 October 2021, VentureBeat

Snowflake Announces Third Annual Data Drivers Award Winners, Honoring the Leaders Transforming Their Industries with the Data Cloud
5 October 2021, Business Wire

Snowflake awards trailblazing data-driven companies and individuals transforming their industries with the data cloud
26 October 2021, iTWire

provided by Google News

SQream Technologies raises $39.4 million for GPU-accelerated databases
24 June 2020, VentureBeat

Accelerated Databases In The Fast Lane
25 June 2020, The Next Platform

Alibaba Group leads $26.4M Series B in GPU database provider SQream
30 May 2018, TechCrunch

Stretching GPU Database Performance With Flash Arrays
26 February 2019, The Next Platform

SQream Delivers Enhanced Data Warehouse Solution
7 September 2018, Database Trends and Applications

provided by Google News

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