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DBMS > GeoSpock vs. MongoDB vs. OrientDB

System Properties Comparison GeoSpock vs. MongoDB vs. OrientDB

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Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonMongoDB  Xexclude from comparisonOrientDB  Xexclude from comparison
DescriptionSpatial and temporal data processing engine for extreme data scaleOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelRelational DBMSDocument storeDocument store
Graph DBMS
Key-value store
Secondary database modelsTime Series DBMSSearch engine infointegrated Lucene index, currently in MongoDB Atlas only.
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#274  Overall
#126  Relational DBMS
Score446.48
Rank#5  Overall
#1  Document stores
Score5.48
Rank#70  Overall
#12  Document stores
#4  Graph DBMS
#11  Key-value stores
Websitegeospock.comwww.mongodb.comorientdb.org
Technical documentationdocs.geospock.com/­Content/­Home.htmdocs.mongodb.com/­manualwww.orientdb.com/­docs/­last/­index.html
DeveloperGeoSpockMongoDB, IncOrientDB LTD; CallidusCloud; SAP
Initial release20092010
Current release2.0, September 20194.4.1, September 20203.1.0, June 2020
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.Open Source infoApache version 2
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.
  • ScaleGrid for MongoDB: Fully managed hosting for MongoDB database on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
  • MongoDB Atlas: the global and fully-managed cloud database service from the makers of MongoDB. Deploy across AWS, Azure, or GCP.
Implementation languageJava, JavascriptC++Java
Server operating systemshostedLinux
OS X
Solaris
Windows
All OS with a Java JDK (>= JDK 6)
Data schemeyesschema-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.schema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
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.nono
Secondary indexestemporal, categoricalyesyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)Read-only SQL queries via the MongoDB Connector for BISQL-like query language, no joins
APIs and other access methodsJDBCproprietary protocol using JSONTinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesActionscript 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
Rust
Scala
Smalltalk infoinofficial driver
Swift
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoJavaScriptJava, Javascript
Triggersnoyes infoin MongoDB Atlas onlyHooks
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infopartitioned by hashed, ranged, or zoned sharding keysSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-document ACID Transactions with snapshot isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infooptionalyes
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 3.2
User concepts infoAccess controlAccess rights for users can be defined per tableAccess rights for users and rolesAccess rights for users and roles; record level security configurable
More information provided by the system vendor
GeoSpockMongoDBOrientDB
Specific characteristicsMongoDB is the leading modern, general purpose data platform, designed to unleash...
» 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 metrics125 million downloads (growing at more than 30 thousand downloads per day), over...
» 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.

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More resources
GeoSpockMongoDBOrientDB
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Conferences and events

MongoDB.live Northern Europe
Online Event, 10 November 2020

MongoDB.live Northern America
Online Event, 17 November 2020

MongoDB.live India / Asean
Online Event, 19 November 2020

Recent citations in the news

GeoSpock selected as a semi-finalist for Toyota Mobility Foundation's CATCH
16 September 2020, Geospatial World

GeoSpock to unveil seminal funding round to fuel global expansion
7 July 2020, Business Weekly

GeoSpock - an emerging force in geospatial big data - Rethink
1 November 2019, Rethink Research

Frontier Developments named Business of the Year
18 September 2020, Business Weekly

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25 March 2019, Business Wire

provided by Google News

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MongoDB Inc. (MDB) market price of $233.18 offers the impression of an exciting value play
28 September 2020, The InvestChronicle

MongoDB beats quarterly expectations with strong revenue growth
2 September 2020, SiliconANGLE

MongoDB Inc. (NASDAQ:MDB) is Gaining Momentum on Earnings Catalyst
28 September 2020, The Oracle Dispatch

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25 September 2020, The Daily Chronicle

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25 September 2020, The Daily Chronicle

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