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DBMS > Geode vs. MongoDB

System Properties Comparison Geode vs. MongoDB

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Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonMongoDB  Xexclude from comparison
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelKey-value storeDocument store
Secondary database modelsSearch engine infointegrated Lucene index, currently in MongoDB Atlas only.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.61
Rank#122  Overall
#21  Key-value stores
Score421.12
Rank#5  Overall
#1  Document stores
Websitegeode.apache.orgwww.mongodb.com
Technical documentationgeode.apache.org/­docsdocs.mongodb.com/­manual
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.MongoDB, Inc
Initial release20022009
Current release1.1, February 20174.2.2, December 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
MongoDB Atlas: Deploy a fully managed cloud database on-demand and ready for use in minutes. Available on AWS, Azure, and GCP.
Implementation languageJavaC++
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Solaris
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.
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatial
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.no
Secondary indexesnoyes
SQL infoSupport of SQLSQL-like query language (OQL)Read-only SQL queries via the MongoDB Connector for BI
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
proprietary protocol using JSON
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
Actionscript infoinofficial driver
C
C#
C++
Clojure infoinofficial driver
ColdFusion infoinofficial driver
D infoinofficial driver
Dart infoinofficial driver
Delphi infoinofficial driver
Erlang
Go
Groovy infoinofficial driver
Haskell
Java
JavaScript
Lisp infoinofficial driver
Lua infoinofficial driver
MatLab infoinofficial driver
Perl
PHP
PowerShell infoinofficial driver
Prolog infoinofficial driver
Python
R infoinofficial driver
Ruby
Scala
Smalltalk infoinofficial driver
Server-side scripts infoStored proceduresuser defined functionsJavaScript
Triggersyes infoCache Event Listenersyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infopartitioned by hashed, ranged, or zoned sharding keys
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replicationMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes infooptional
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 3.2
User concepts infoAccess controlAccess rights per client and object definableAccess rights for users and roles
More information provided by the system vendor
GeodeMongoDB
Specific characteristicsMongoDB is the leading modern, general purpose data platform, designed to unleash...
» more
Competitive advantagesThe MongoDB Data Platform can be used by developers building OLTP and analytical...
» 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 metrics70 million downloads (growing at more than 30 thousand downloads per day). 15,000+...
» 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.

Related products and services
3rd partiesNavicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
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Studio 3T: The world's favorite IDE for working with MongoDB
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CData: Connect to Big Data & NoSQL through standard Drivers.
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Knowi: Build MongoDB Reports and Data Visualizations in Minutes with Native Integration
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Dremio: Analyze your data with standard SQL and any BI tool. Accelerate your queries up to 1,000x.
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DBHawk: Powerful web-based MongoDB GUI. Connect securely to on-premise MongoDB or MongoDB on the Cloud, Atlas or mLab.
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ScaleGrid: Deploy, monitor, backup and scale MongoDB in the cloud with the #1 Database-as-a-Service (DBaaS) platform.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
GeodeMongoDB
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Recent citations in the news

High-Performance Data Processing with Spring Cloud Data Flow and Geode
30 October 2019, InfoQ.com

Simplifying Apache Geode with Spring Data
2 June 2018, InfoQ.com

TIBCO Snaps Up SnappyData: Spark + Geode on Steroids
8 March 2019, Computer Business Review

Where Does Apache Geode Fit in CQRS Architectures?
18 December 2016, InfoQ.com

RDBMS and Apache Geode Data Movement: Low Latency ETL Pipeline by Using Cloud-Native Event Driven Microservices
30 June 2018, InfoQ.com

provided by Google News

MongoDB Shares Remain Pricey Even As Growth Moderates
13 December 2019, Forbes

MongoDB tops third quarter expectations
9 December 2019, ZDNet

Why MongoDB Shares Jumped as Much as 10.5% This Morning, Just for a While
10 December 2019, The Motley Fool

MongoDB’s CTO Eliot Horowitz on what’s new in MongoDB 4.2, Ops Manager, Atlas, and more
13 December 2019, Packt Hub

MongoDB Stock Wavers On Third-Quarter Earnings Beat, Improved Outlook
10 December 2019, Investor's Business Daily

provided by Google News

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