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DBMS > MongoDB vs. SQream DB

System Properties Comparison MongoDB vs. SQream DB

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Our visitors often compare MongoDB and SQream DB with Snowflake, HEAVY.AI and PostgreSQL.

Editorial information provided by DB-Engines
NameMongoDB  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 infrastructurea GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelDocument storeRelational 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
Score489.64
Rank#5  Overall
#1  Document stores
Score0.60
Rank#227  Overall
#109  Relational DBMS
Websitewww.mongodb.comsqream.com
Technical documentationdocs.mongodb.com/­manualdocs.sqream.com
DeveloperMongoDB, IncSQream Technologies
Initial release20092014
Current release6.0.1, August 20222021.2, September 2021
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.commercial
Cloud-based only infoOnly available as a cloud serviceno infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • ScaleGrid for MongoDB Database: Fully managed hosting for MongoDB Database on a wide variety of cloud providers and On-Premises. Automate your management, scaling and backups through one centralized platform.
  • 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, Java, Scala
Server operating systemsLinux
OS X
Solaris
Windows
Linux
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
Typing infopredefined data types such as float or dateyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes, ANSI Standard SQL Types
Secondary indexesyesyes
SQL infoSupport of SQLRead-only SQL queries via the MongoDB Connector for BIyes
APIs and other access methodsproprietary protocol using JSON.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
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresJavaScriptuser defined functions in Python
Triggersyes infoin MongoDB Atlas onlyno
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.horizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-document ACID Transactions with snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infooptional, enabled by defaultyes
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 3.2
User concepts infoAccess controlAccess rights for users and roles
More information provided by the system vendor
MongoDBSQream DB
Specific characteristicsMongoDB’s application data platform provides developers a unified interface to power...
» more
Due to exponentially growing data, organizations today are facing slowdowns, with...
» more
Competitive advantagesThe MongoDB platform can be used by developers building transactional, operational,...
» more
Much faster time to insight Analyze significantly more data Achieve previously unobtainable...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
What can you do with 100x faster SQL analytics? Better and more timely decision making...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Some of our customers include: LG Uplus, AIS (Advanced Info Service), ACL Mobile,...
» more
Market metrics200+ 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
News

SQream and Hitachi Vantara Announce Partnership
8 September 2022

SQream and Hitachi Vantara Partner to Deliver Solutions for Enterprise-scale AI/ML and Big Data Applications
8 September 2022

Solving your massive data problem just got a little easier
8 September 2022

SQream and Hitachi Vantara Announce Partnership
8 September 2022

Hitachi Vantara says SQream if you want your data to go faster
8 September 2022

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

More resources
MongoDBSQream DB
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