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DBMS > MongoDB vs. Spark SQL

System Properties Comparison MongoDB vs. Spark SQL

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Our visitors often compare MongoDB and Spark SQL with Hive, Cassandra and Oracle.

Editorial information provided by DB-Engines
NameMongoDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionOne of the most popular document storesSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score409.93
Rank#5  Overall
#1  Document stores
Score16.76
Rank#35  Overall
#21  Relational DBMS
Websitewww.mongodb.comspark.apache.org/­sql
Technical documentationdocs.mongodb.com/­manualspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperMongoDB, IncApache Software Foundation
Initial release20092014
Current release4.0.10, May 2019v2.4.3, May 2019
License infoCommercial or Open SourceOpen 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 2.0
Cloud-based only infoOnly available as a cloud serviceno 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 in minutes.
Implementation languageC++Scala
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Windows
Data schemeschema-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 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.no
Secondary indexesyesno
SQL infoSupport of SQLRead-only SQL queries via the MongoDB Connector for BISQL-like DML and DDL statements
APIs and other access methodsproprietary protocol using JSONJDBC
ODBC
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 infoinofficial driver
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
Java
Python
R
Scala
Server-side scripts infoStored proceduresJavaScriptno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-document ACID Transactions with snapshot isolationno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infooptionalyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-memory storage engine introduced with MongoDB version 3.2no
User concepts infoAccess controlAccess rights for users and rolesno
More information provided by the system vendor
MongoDBSpark SQL
Specific characteristicsMongoDB is the next-generation database that helps businesses transform their industries...
» more
Competitive advantagesBy offering the best of traditional databases as well as the flexibility, scale,...
» more
Typical application scenariosInternet of Things (Bosch, Silver Spring Networks) Mobile (The Weather Channel, ADP,...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Barclays, BBVA, Bond, Bosch, Cisco, CERN, City...
» more
Market metrics40 million downloads (growing at 30 thousand downloads per day). 6,600+ customers....
» more
Licensing and pricing modelsMongoDB database server: Free Software Foundation's GNU AGPL v3.0. 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 partiesScaleGrid: Deploy, monitor, backup and scale MongoDB in the cloud with the #1 Database-as-a-Service (DBaaS) platform.
» more

Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
» more

Dremio: Analyze your data with standard SQL and any BI tool. Accelerate your queries up to 1,000x.
» more

DBHawk: Powerful web-based MongoDB GUI. Connect securely to on-premise MongoDB or MongoDB on the Cloud, Atlas or mLab.
» more

Knowi: Build MongoDB Reports and Data Visualizations in Minutes with Native Integration
» more

Studio 3T: The world's favorite IDE for working with MongoDB
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
MongoDBSpark SQL
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Conferences and events

Spark Summit Europe 2019
Amsterdam, Netherlands, 15-17 October 2019

Recent citations in the news

MongoDB looks beyond databases
18 June 2019, SDTimes.com

MongoDB Database Exposed 188 Million Records: Researchers
11 July 2019, BankInfoSecurity.com

Why MongoDB Stock Jumped 82% in the First Half of 2019
11 July 2019, The Motley Fool

MongoDB Management Talks Atlas and Realm
20 June 2019, The Motley Fool

MongoDB Moves Encryption Out of the Server
18 June 2019, Decipher

provided by Google News

Have Your Say On .NET For Spark
5 July 2019, iProgrammer

A Decade Later, Apache Spark Still Going Strong
8 March 2019, Datanami

Delta Lake gives Apache Spark data sets new powers
24 April 2019, InfoWorld

High-performance data processing technology through a new database partitioning method
3 June 2019, EurekAlert

Real-Time Data Processing Using Redis Streams and Apache Spark Structured Streaming
13 May 2019, InfoQ.com

provided by Google News

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