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DBMS > LMDB vs. MonetDB vs. MongoDB vs. Snowflake

System Properties Comparison LMDB vs. MonetDB vs. MongoDB vs. Snowflake

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Editorial information provided by DB-Engines
NameLMDB  Xexclude from comparisonMonetDB  Xexclude from comparisonMongoDB  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionA high performant, light-weight, embedded key-value database libraryA relational database management system that stores data in columnsOne 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 data
Primary database modelKey-value storeRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial 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
Score2.57
Rank#112  Overall
#21  Key-value stores
Score1.79
Rank#129  Overall
#63  Relational DBMS
Score477.66
Rank#5  Overall
#1  Document stores
Score103.12
Rank#13  Overall
#9  Relational DBMS
Websitewww.symas.com/­symas-embedded-database-lmdbwww.monetdb.orgwww.mongodb.comwww.snowflake.com
Technical documentationwww.monetdb.org/­Documentationdocs.mongodb.com/­manualdocs.snowflake.net/­manuals/­index.html
DeveloperSymasMonetDB BVMongoDB, IncSnowflake Computing Inc.
Initial release2011200420092014
Current release0.9.29, March 2021Jul2021-SP2, July 20216.0.0, July 2022
License infoCommercial or Open SourceOpen SourceOpen Source infoMozilla Public License 2.0Open 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 servicenonono infoMongoDB available as DBaaS (MongoDB Atlas)yes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • 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.
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Implementation languageCCC++
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
hosted
Data schemeschema-freeyesschema-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)
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes
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.noyes
Secondary indexesnoyesyes
SQL infoSupport of SQLnoyes infoSQL 2003 with some extensionsRead-only SQL queries via the MongoDB Connector for BIyes
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
proprietary protocol using JSONCLI Client
JDBC
ODBC
Supported programming languagesCC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
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
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
Server-side scripts infoStored proceduresnoyes, in SQL, C, RJavaScriptuser defined functions
Triggersnoyesyes infoin MongoDB Atlas onlyno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesnoneSharding via remote tablesSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.yes
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoSource-replica replication available in experimental statusMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynoyesno infotypically not used, however similar functionality with DBRef possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDMulti-document ACID Transactions with snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infooptional, enabled by defaultyes
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 3.2no
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users and rolesUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
LMDBMonetDBMongoDBSnowflake
Specific characteristicsColumn-store In-memory optimized GeoSpatial support JSON document support
» more
MongoDB’s application data platform provides developers a unified interface to power...
» more
Competitive advantagesScalable architecture - vertical data organization and in-memory optimization guarantee...
» more
The MongoDB platform can be used by developers building transactional, operational,...
» more
Typical application scenariosAnalytical database, Data warehouse, OLAP Data mining Scientific database
» more
Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersNumascale , Spinque , SecurActive , CHS , NOZHUP
» more
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metrics200+ million downloads, over 1.5M Atlas database clusters under management handling...
» more
Licensing and pricing modelsFree and open-source software, Mozilla Public License 2.0 Commercial support available
» more
MongoDB 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
LMDBMonetDBMongoDBSnowflake
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