DB-EnginesInfluxDB download bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Amazon CloudSearch vs. GBase vs. MongoDB vs. Vertica

System Properties Comparison Amazon CloudSearch vs. GBase vs. MongoDB vs. Vertica

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonGBase  Xexclude from comparisonMongoDB  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
GBase seems to be discontinued and will be removed from the DB-Engines ranking
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudAn analytical database for business intelligence with large customers in China.One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelSearch engineRelational DBMSDocument storeRelational DBMS
Secondary database modelsSearch engine infointegrated Lucene index, currently in MongoDB Atlas only.Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.21
Rank#85  Overall
#9  Search engines
Score421.12
Rank#5  Overall
#1  Document stores
Score22.17
Rank#30  Overall
#18  Relational DBMS
Websiteaws.amazon.com/­cloudsearchwww.gbase.cnwww.mongodb.comwww.vertica.com
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.mongodb.com/­manualwww.vertica.com/­documentation/­vertica
DeveloperAmazonMongoDB, IncVertica / Micro Focus infoprior to that Hewlett Packard
Initial release201220092005
Current releaseGBase 8a4.2, August 2019Vertica Analytics Platform 9.2.x, March 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesnono infoMongoDB available as DBaaS (MongoDB Atlas)no infoavailable on Amazon AWS and Microsoft Azure
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 languageC++
Server operating systemshostedLinux
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.yes infoUnstructured data can be stored in specific Flex-Tables
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 indexesyes infoall search fields are automatically indexedyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLnoRead-only SQL queries via the MongoDB Connector for BIyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsHTTP APIproprietary protocol using JSONADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP 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
Scala
Smalltalk infoinofficial driver
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresnoJavaScriptyes
Triggersnoyes infoin MongoDB Atlas onlyno
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requiredSharding infopartitioned by hashed, ranged, or zoned sharding keysSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSMaster-slave replicationMaster-master replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleyes
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.yes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlauthentication via encrypted signaturesAccess rights for users and rolesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Amazon CloudSearchGBaseMongoDBVertica infoVertica Analytics Platform
Specific characteristicsMongoDB is the leading modern, general purpose data platform, designed to unleash...
» more
Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesThe MongoDB Data Platform can be used by developers building OLTP and analytical...
» more
Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosInternet of Things and Time Series (Bosch, Jaguar Land Rover) Mobile (The Weather...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» 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
Cost-based models and subscription-based models are available
» 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

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

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
Amazon CloudSearchGBaseMongoDBVertica infoVertica Analytics Platform
DB-Engines blog posts

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

show all

PostgreSQL is the DBMS of the Year 2018
2 January 2019, Paul Andlinger, Matthias Gelbmann

PostgreSQL moves up one rank at the expense of MongoDB
1 September 2016, Paul Andlinger

Oracle is the DBMS of the Year
5 January 2016, Paul Andlinger, Matthias Gelbmann

show all

Recent citations in the news

Enterprise Semantic Search Software Market to See Major Growth by 2027 | Swiftype, Algolia, Elasticsearch, Apache Solr, SearchSpring, AddSearch, SLI Systems, Amazon CloudSearch, Coveo, FishEye, and Inbenta
12 November 2019, Market Expert

Global Enterprise Search Software Market Research Insights & Revenue (2020 – 2029) || Swiftype, Algolia, Elasticsearch
4 December 2019, 5Gigs News

Enterprise Semantic Search Software Market Analysis by Size, Share, Growth, Tren
5 December 2019, News by aeresearch

Amazon CloudSearch: Just What You Were Looking For?
11 September 2016, Wired News

Enterprise Search Software Market Size, Industry Share, Growth, Trends, Demand, Types, Applications, Key Manufacturers and 2019-2025 Forecast Report
29 November 2019, Downey Magazine

provided by Google News

MongoDB tops third quarter expectations
9 December 2019, ZDNet

MongoDB revenues rise sharply as Atlas customer headcount more than doubles year-on-year
10 December 2019, Diginomica

MongoDB Earnings, Revenue Beat Estimates; Stock Climbs
9 December 2019, Investor's Business Daily

MongoDB (MDB) Reports Q3 Loss, Tops Revenue Estimates
9 December 2019, Yahoo Finance

MongoDB, Inc. Announces Third Quarter Fiscal 2020 Financial Results
9 December 2019, PRNewswire

provided by Google News

TablePlus prepares to launch database management app for Linux
26 November 2019, IT Brief Australia

3 Data-Driven Rules For Competing With Amazon In The First-Ever Trillion-Dollar Holiday Season
12 November 2019, Forbes

Micro Focus Announces Vertica in Eon Mode for Pure Storage
18 September 2019, DevOps.com

You Can't Do Machine Learning Inside a Database. Can You?
1 April 2019, Datanami

Opinion | Cambridge Analytica and the folly of Big Data
5 December 2019, The Brussels Times

provided by Google News

Job opportunities

Software Engineer I
Transcat, Rochester, NY

Cloud Support Associate (ANA)
Amazon Web Services, Inc., Herndon, VA

Software Developer
Billion Automotive, Sioux Falls, SD

Sr. Data Scientist
jane.com, Lehi, UT

Cloud Support Engineer I - Databases
Amazon Web Services, Inc., Dallas, TX

MySQL Database Engineer - Americas - remote
Percona, Remote

Full-Stack Developer
ThirstySprout, Remote

Full Stack Web Developer
COLSA, Huntsville, AL

Mid Level Full Stack Developer with Top Secret
OneGlobe LLC, Washington, DC

Full Stack Developer
IBM, Research Triangle Park, NC

Senior Data Engineer, Temporary Full Time
Royal Caribbean Cruises Ltd., Miami, FL

Senior Lead Database Engineer
S&P Global, Princeton, NJ

Database Developer
WebMD, New York, NY

Data Warehouse & BI Architect Developer
DB Best Technologies, Memphis, TN

Data Engineer, Game Analytics
Rockstar New York, New York, NY

jobs by Indeed




Share this page

Featured Products

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.


Datastax logo

Build data-driven applications that set the standard for performance, availability,
& scale with DataStax.
Learn more.

Redis logo

Hosted, serverless DBaaS
in 3 steps.

30MB Free!
Start now.

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Present your product here