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DBMS > GridGain vs. MongoDB vs. Sqrrl

System Properties Comparison GridGain vs. MongoDB vs. Sqrrl

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonMongoDB  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelKey-value store
Relational DBMS
Document storeDocument store
Graph DBMS
Key-value store
Wide column 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
Score1.66
Rank#122  Overall
#21  Key-value stores
#59  Relational DBMS
Score426.97
Rank#5  Overall
#1  Document stores
Websitewww.gridgain.comwww.mongodb.comsqrrl.com
Technical documentationwww.gridgain.com/­docs/­latestdocs.mongodb.com/­manual
DeveloperGridGain Systems, Inc.MongoDB, IncAmazon infooriginally Sqrrl Data, Inc.
Initial release200720092012
Current releaseGridGain 8.5.14.2.2, December 2019
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 servicenono 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: Deploy a fully managed cloud database on-demand and ready for use in minutes. Available on AWS, Azure, and GCP.
Implementation languageJava, C++, .NetC++Java
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
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
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.yes
Secondary indexesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLRead-only SQL queries via the MongoDB Connector for BIno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
proprietary protocol using JSONAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
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
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)JavaScriptno
Triggersyes (cache interceptors and events)yes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infopartitioned by hashed, ranged, or zoned sharding keysSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Master-slave replicationselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDMulti-document ACID Transactions with snapshot isolationAtomic updates per row, document, or graph entity
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.yesyes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights for users and rolesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)
More information provided by the system vendor
GridGainMongoDBSqrrl
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

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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
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Recent citations in the news

GridGain's Strong Market Momentum Continued in 2019
16 January 2020, GlobeNewswire

GridGain Systems Named to Deloitte 2019 Technology Fast 500™ for Second Consecutive Year
18 November 2019, GlobeNewswire

GridGain Systems Releases GridGain for z/OS, Expanding Its Market-Leading In-Memory Computing Solution to the Mainframe
7 November 2019, GlobeNewswire

GridGain: Product Overview and Analysis
5 June 2019, eWeek

GridGain In-Memory Computing Platform Continues Strong Momentum in First Half of 2019, Highlighted by a Doubling of Subscription Bookings
18 July 2019, GlobeNewswire

provided by Google News

MongoDB GraphQL release points to broader revamp of serverless platform
22 January 2020, ZDNet

Why MongoDB Shares Fell 11.5% Last Month
7 January 2020, Motley Fool

MongoDB Announces Proposed Private Offering of $750.0 Million of Convertible Senior Notes
8 January 2020, Yahoo Finance

MongoDB: Riding The Data Wave
17 January 2020, Seeking Alpha

MongoDB Announces Pricing of Upsized $1.0 Billion Convertible Senior Notes Offering
10 January 2020, Yahoo Finance

provided by Google News

Fin-Tech Start-up Sqrrl Is On 'Mission 200' For The Betterment Of Underprivileged Children
31 December 2019, IndianWeb2.com

User and Entity Behavior Analytics Market Business Scenario 2020 | SWOT Analysis by Major Players- Dtex Systems, Sqrrl Data, Securonix, Varonis Systems, Varonis Systems, Varonis Systems, Exabeam
21 January 2020, Dagoretti News

Startups that put money to work
31 December 2019, Livemint

[Tech30] These industry veterans’ startup encourages millennials to save and invest money smartly
28 October 2019, YourStory

Amazon's cloud business acquires Sqrrl, a security start-up with NSA roots
23 January 2018, CNBC

provided by Google News

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