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DBMS > Google Cloud Datastore vs. MongoDB vs. Raima Database Manager

System Properties Comparison Google Cloud Datastore vs. MongoDB vs. Raima Database Manager

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonMongoDB  Xexclude from comparisonRaima Database Manager infoformerly named db_Vista  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureRDBMS with a small footprint, either embedded into an application or used as a database server
Primary database modelDocument storeDocument storeRelational DBMS
Time Series 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
Score6.94
Rank#63  Overall
#11  Document stores
Score486.23
Rank#5  Overall
#1  Document stores
Score0.44
Rank#267  Overall
#124  Relational DBMS
#20  Time Series DBMS
Websitecloud.google.com/­datastorewww.mongodb.comraima.com
Technical documentationcloud.google.com/­datastore/­docsdocs.mongodb.com/­manualdocs.raima.com
DeveloperGoogleMongoDB, IncRaima Inc.
Initial release200820091984
Current release6.0.1, August 202215, June 2021
License infoCommercial or Open SourcecommercialOpen 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 serviceyesno 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.
  • 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.
  • 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.
Implementation languageC++C
Server operating systemshostedLinux
OS X
Solaris
Windows
Android
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
Data schemeschema-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
Typing infopredefined data types such as float or dateyes, details hereyes 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.nono infoExporting/Importing of XML structures possible
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query language (GQL)Read-only SQL queries via the MongoDB Connector for BIyes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
proprietary protocol using JSONADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
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
.Net
C
C++
Objective-C
PL/SQL
Server-side scripts infoStored proceduresusing Google App EngineJavaScriptyes infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specification
TriggersCallbacks using the Google Apps Engineyes infoin MongoDB Atlas onlyyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding 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 partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsno infotypically not used, however similar functionality with DBRef possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsMulti-document ACID Transactions with snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infooptional, enabled by defaultyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoIn-memory storage engine introduced with MongoDB version 3.2yes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and rolesno
More information provided by the system vendor
Google Cloud DatastoreMongoDBRaima Database Manager infoformerly named db_Vista
Specific characteristicsMongoDB’s application data platform provides developers a unified interface to power...
» more
Raima Database Manager (RDM) is an embedded time-series database optimized to run...
» more
Competitive advantagesThe MongoDB platform can be used by developers building transactional, operational,...
» more
Decreased time-to-market Industry-standard interfaces & tools for making your job...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Typical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Infor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
» more
Market metrics200+ million downloads, over 1.5M Atlas database clusters under management handling...
» more
Over 30 000 applications developers worldwide have field-tested RDM products More...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more
Just as the technical aspects of Raima Database Manager are flexible, so are the...
» more
News

Edge to Cloud replication
12 July 2022

Raima Announces Release of Raima Database Manager (RDM) v15, a Powerful Embedded Time Series Database
10 June 2021

Raima Announces Release of Raima Database Manager (RDM) v14.2, a Powerful IoT Edge Embedded Database
8 October 2020

Raima Joins BlackBerry QNX Channel Partner Program to Deliver Safety-Critical and Secure Software Solutions for the IoT Edge Industry
1 October 2020

Raima Expands Their Reseller Network in Asia
19 May 2020

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
Google Cloud DatastoreMongoDBRaima Database Manager infoformerly named db_Vista
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