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DBMS > Google Cloud Bigtable vs. IBM Cloudant vs. MongoDB vs. Snowflake

System Properties Comparison Google Cloud Bigtable vs. IBM Cloudant vs. MongoDB vs. Snowflake

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Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMongoDB  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Database as a Service offering based on Apache CouchDBOne 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 modelWide column storeDocument storeDocument 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
Score3.63
Rank#91  Overall
#8  Wide column stores
Score3.84
Rank#88  Overall
#15  Document stores
Score484.67
Rank#5  Overall
#1  Document stores
Score71.03
Rank#17  Overall
#11  Relational DBMS
Websitecloud.google.com/­bigtablewww.ibm.com/­cloud/­cloudantwww.mongodb.comwww.snowflake.com
Technical documentationcloud.google.com/­bigtable/­docscloud.ibm.com/­docs/­Cloudantdocs.mongodb.com/­manualdocs.snowflake.net/­manuals/­index.html
DeveloperGoogleIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MongoDB, IncSnowflake Computing Inc.
Initial release2015201020092014
Current release5.0, July 2021
License infoCommercial or Open SourcecommercialcommercialOpen 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 serviceyesyesno infoMongoDB available as DBaaS (MongoDB Atlas)yes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangC++
Server operating systemshostedhostedLinux
OS X
Solaris
Windows
hosted
Data schemeschema-freeschema-freeschema-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 datenonoyes 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.nonoyes
Secondary indexesnoyesyes
SQL infoSupport of SQLnonoRead-only SQL queries via the MongoDB Connector for BIyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP/JSON APIproprietary protocol using JSONCLI Client
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
Objective-C
PHP
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 proceduresnoView functions (Map-Reduce) in JavaScriptJavaScriptuser defined functions
Triggersnoyesyes infoin MongoDB Atlas onlyno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding 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 nodesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
Multi-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynonono infotypically not used, however similar functionality with DBRef possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsno infoatomic operations within a document possibleMulti-document ACID Transactions with snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes
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.nonoyes infoIn-memory storage engine introduced with MongoDB version 3.2no
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users can be defined per databaseAccess rights for users and rolesUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
Google Cloud BigtableIBM CloudantMongoDBSnowflake
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

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More resources
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