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DBMS > Greenplum vs. GridDB vs. LokiJS vs. MongoDB

System Properties Comparison Greenplum vs. GridDB vs. LokiJS vs. MongoDB

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonGridDB  Xexclude from comparisonLokiJS  Xexclude from comparisonMongoDB  Xexclude from comparison
DescriptionAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Scalable in-memory time series database optimized for IoT and Big DataIn-memory JavaScript DBMSOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelRelational DBMSTime Series DBMSDocument storeDocument store
Secondary database modelsDocument store
Spatial DBMS
Key-value store
Relational 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
Score13.07
Rank#42  Overall
#26  Relational DBMS
Score1.30
Rank#151  Overall
#10  Time Series DBMS
Score0.60
Rank#225  Overall
#35  Document stores
Score493.55
Rank#5  Overall
#1  Document stores
Websitegreenplum.orggriddb.netgithub.com/­techfort/­LokiJSwww.mongodb.com
Technical documentationdocs.greenplum.orgdocs.griddb.nettechfort.github.io/­LokiJSdocs.mongodb.com/­manual
DeveloperPivotal Software Inc.Toshiba CorporationMongoDB, Inc
Initial release2005201320142009
Current release6.7.1, April 20204.6, February 20215.0, July 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availableOpen SourceOpen 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 servicenononono infoMongoDB available as DBaaS (MongoDB Atlas)
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaScriptC++
Server operating systemsLinuxLinuxserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Solaris
Windows
Data schemeyesyesschema-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 infonumerical, string, blob, geometry, boolean, timestampnoyes 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.yes infosince Version 4.2nono
Secondary indexesyesyesyes infovia viewsyes
SQL infoSupport of SQLyesSQL92, SQL-like TQL (Toshiba Query Language)noRead-only SQL queries via the MongoDB Connector for BI
APIs and other access methodsJDBC
ODBC
Proprietary protocolJavaScript APIproprietary protocol using JSON
Supported programming languagesC
Java
Perl
Python
R
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
JavaScriptActionscript 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
Server-side scripts infoStored proceduresyesnoView functions in JavaScriptJavaScript
Triggersyesyesyesyes infoin MongoDB Atlas only
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnoneMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency within container, eventual consistency across containersnoneEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesnonono infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelno infoatomic operations within a single collection possibleMulti-document ACID Transactions with snapshot isolation
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes infooptional, enabled by default
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per databasenoAccess rights for users and roles
More information provided by the system vendor
GreenplumGridDBLokiJSMongoDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
MongoDB’s application data platform provides developers a unified interface to power...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
The MongoDB platform can be used by developers building transactional, operational,...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Internet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsGitHub trending repository
» more
175 million downloads, over 1.5M Atlas database clusters under management handling...
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» 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
GreenplumGridDBLokiJSMongoDB
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Conferences and events

MongoDB & Google Cloud Developer Summit
Virtual Event, 28 October 2021

MongoDB.Local London
London, 9 November 2021

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Introduction to MongoDB
Webinar, on demand, 27 July 2021 (finished)

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