SlideShare une entreprise Scribd logo
1  sur  2
MongoDB : Why use MongoDB NoSQL Database – Pros and Cons 
RDBMS or Mongo DB, What is the best option is the question of the hour. If you are from the 
SQL background and in need of knowing closer information and details pertaining to MongoDB 
then here we are to present you with some quality info here. Yes, the pros and cons of the 
major kind are exposed. Use it to your best potential. 
MongoDB NoSQL Database Pros : 
1. MongoDB Database is absolutely schema less. It is one major advantage for the users that 
are doing installations like Security camera features in multiple numbers in essential. Also, 
when you have a flexible schema just like how it is in the case of MongoDB, then you can find it 
to be one of the rated best options meant for the Document Stores too. RDBMS can be of futile 
choice compared to the MongoDB here. Moreover, you have the ease to scale out in case of 
MongoDB NoSQL Database. 
2. It is possible to use the replica sets here and identify the scale reading easily. Auto balancing 
features is best used to assess the scale reads or by using the option of sharing. You can keep 
on be firing up new machines as there are least supervision or monitoring services needed in 
this case of deploying a MongoDB. 
3. All you need to do is to add on more machines and add on more RAM as well to increase the 
overall efficiency of the set up as such. Expansion plans are so flexibly and easily achieved when 
you are relying upon something like MongoDB. It is not the same case compared to the peers in 
the business as such. You can add on to the distributions easily to the working set up when you 
are using the MongoDB.
4. It is possible to use the MongoDB for free of expenditure as you are to run it in Linux, in fact, 
it is very ideal to be run on anything cheaper than that as a kit too. Based upon the data value 
that you choose to select you can decide upon the consistency as you will have to mark it up. 
Hence, the best fastest performance can be easily achieved in that way when you resort to 
MongoDB. 
Some of the cons related to MongoDB are listed below as well: 
1. Each and every other document in case of MongoDB is stored with field names and hence 
the data sizes could be significantly higher over a period of time when you see the 
accumulation. 
2. When you are doing something like querying process, then there is not range of poss ibilities 
of any flexibility in the approach as such when you compare with the premium best options of 
the other kind. There is no rigid support offered for the transactions in case of MongoDB. 
3. Single document level support can be something limited for some type of atomic operations 
alone. Speed is not so fast or up to the expectations of many when it comes to data analysis or 
doing some kind of aggregations as such when you are resorting to MongoDB NoSQL Database. 
Posted By : Ezeelive Technologies

Contenu connexe

Tendances

An Introduction to MongoDB Compass
An Introduction to MongoDB CompassAn Introduction to MongoDB Compass
An Introduction to MongoDB CompassMongoDB
 
Install and configure mongo db nosql db on windows
Install and configure mongo db nosql db on windowsInstall and configure mongo db nosql db on windows
Install and configure mongo db nosql db on windowsprabakaranbrick
 
MongoDB Days Silicon Valley: A Technical Introduction to WiredTiger
MongoDB Days Silicon Valley: A Technical Introduction to WiredTiger MongoDB Days Silicon Valley: A Technical Introduction to WiredTiger
MongoDB Days Silicon Valley: A Technical Introduction to WiredTiger MongoDB
 
How-To Easily Deploy MongoDB in the Cloud
How-To Easily Deploy MongoDB in the CloudHow-To Easily Deploy MongoDB in the Cloud
How-To Easily Deploy MongoDB in the CloudGoGrid Cloud Hosting
 
PageSpeed Optimization
PageSpeed OptimizationPageSpeed Optimization
PageSpeed OptimizationShweta Patel
 
Techorama - Evolvable Application Development with MongoDB
Techorama  - Evolvable Application Development with MongoDBTechorama  - Evolvable Application Development with MongoDB
Techorama - Evolvable Application Development with MongoDBbwullems
 

Tendances (13)

An Introduction to MongoDB Compass
An Introduction to MongoDB CompassAn Introduction to MongoDB Compass
An Introduction to MongoDB Compass
 
Introduction to MongoDB
Introduction to MongoDBIntroduction to MongoDB
Introduction to MongoDB
 
Mongodb tutorial at Easylearning Guru
Mongodb tutorial  at Easylearning GuruMongodb tutorial  at Easylearning Guru
Mongodb tutorial at Easylearning Guru
 
Mongo DB
Mongo DBMongo DB
Mongo DB
 
Install and configure mongo db nosql db on windows
Install and configure mongo db nosql db on windowsInstall and configure mongo db nosql db on windows
Install and configure mongo db nosql db on windows
 
MongoDB Days Silicon Valley: A Technical Introduction to WiredTiger
MongoDB Days Silicon Valley: A Technical Introduction to WiredTiger MongoDB Days Silicon Valley: A Technical Introduction to WiredTiger
MongoDB Days Silicon Valley: A Technical Introduction to WiredTiger
 
How-To Easily Deploy MongoDB in the Cloud
How-To Easily Deploy MongoDB in the CloudHow-To Easily Deploy MongoDB in the Cloud
How-To Easily Deploy MongoDB in the Cloud
 
PageSpeed Optimization
PageSpeed OptimizationPageSpeed Optimization
PageSpeed Optimization
 
Techorama - Evolvable Application Development with MongoDB
Techorama  - Evolvable Application Development with MongoDBTechorama  - Evolvable Application Development with MongoDB
Techorama - Evolvable Application Development with MongoDB
 
Caching for Cash - Part 4
Caching for Cash - Part 4Caching for Cash - Part 4
Caching for Cash - Part 4
 
Knonex
KnonexKnonex
Knonex
 
Mongo db intro new
Mongo db intro newMongo db intro new
Mongo db intro new
 
Experiment no 1
Experiment no 1Experiment no 1
Experiment no 1
 

Similaire à Why use mongo db nosql database pros and cons

how_can_businesses_address_storage_issues_using_mongodb.pdf
how_can_businesses_address_storage_issues_using_mongodb.pdfhow_can_businesses_address_storage_issues_using_mongodb.pdf
how_can_businesses_address_storage_issues_using_mongodb.pdfsarah david
 
how_can_businesses_address_storage_issues_using_mongodb.pptx
how_can_businesses_address_storage_issues_using_mongodb.pptxhow_can_businesses_address_storage_issues_using_mongodb.pptx
how_can_businesses_address_storage_issues_using_mongodb.pptxsarah david
 
Hands on Big Data Analysis with MongoDB - Cloud Expo Bootcamp NYC
Hands on Big Data Analysis with MongoDB - Cloud Expo Bootcamp NYCHands on Big Data Analysis with MongoDB - Cloud Expo Bootcamp NYC
Hands on Big Data Analysis with MongoDB - Cloud Expo Bootcamp NYCLaura Ventura
 
Everything You Need to Know About MongoDB Development.pptx
Everything You Need to Know About MongoDB Development.pptxEverything You Need to Know About MongoDB Development.pptx
Everything You Need to Know About MongoDB Development.pptx75waytechnologies
 
The Little MongoDB Book - Karl Seguin
The Little MongoDB Book - Karl SeguinThe Little MongoDB Book - Karl Seguin
The Little MongoDB Book - Karl SeguinPaulo Fagundes
 
Pros and Cons of MongoDB in Web Development
Pros and Cons of MongoDB in Web DevelopmentPros and Cons of MongoDB in Web Development
Pros and Cons of MongoDB in Web DevelopmentNirvana Canada
 
Data Migration Between MongoDB and Oracle
Data Migration Between MongoDB and OracleData Migration Between MongoDB and Oracle
Data Migration Between MongoDB and OracleChihYung(Raymond) Wu
 
MONGODB VASUDEV PRAJAPATI DOCUMENTBASE DATABASE
MONGODB VASUDEV PRAJAPATI DOCUMENTBASE DATABASEMONGODB VASUDEV PRAJAPATI DOCUMENTBASE DATABASE
MONGODB VASUDEV PRAJAPATI DOCUMENTBASE DATABASEvasustudy176
 
Introduction to MongoDB and its best practices
Introduction to MongoDB and its best practicesIntroduction to MongoDB and its best practices
Introduction to MongoDB and its best practicesAshishRathore72
 
Top MongoDB interview Questions and Answers
Top MongoDB interview Questions and AnswersTop MongoDB interview Questions and Answers
Top MongoDB interview Questions and Answersjeetendra mandal
 
Introduction to MongoDB How is it Different from RDBMS
Introduction to MongoDB How is it Different from RDBMSIntroduction to MongoDB How is it Different from RDBMS
Introduction to MongoDB How is it Different from RDBMSRavendra Singh
 
What are the major components of MongoDB and the major tools used in it.docx
What are the major components of MongoDB and the major tools used in it.docxWhat are the major components of MongoDB and the major tools used in it.docx
What are the major components of MongoDB and the major tools used in it.docxTechnogeeks
 

Similaire à Why use mongo db nosql database pros and cons (20)

how_can_businesses_address_storage_issues_using_mongodb.pdf
how_can_businesses_address_storage_issues_using_mongodb.pdfhow_can_businesses_address_storage_issues_using_mongodb.pdf
how_can_businesses_address_storage_issues_using_mongodb.pdf
 
how_can_businesses_address_storage_issues_using_mongodb.pptx
how_can_businesses_address_storage_issues_using_mongodb.pptxhow_can_businesses_address_storage_issues_using_mongodb.pptx
how_can_businesses_address_storage_issues_using_mongodb.pptx
 
Hands on Big Data Analysis with MongoDB - Cloud Expo Bootcamp NYC
Hands on Big Data Analysis with MongoDB - Cloud Expo Bootcamp NYCHands on Big Data Analysis with MongoDB - Cloud Expo Bootcamp NYC
Hands on Big Data Analysis with MongoDB - Cloud Expo Bootcamp NYC
 
Everything You Need to Know About MongoDB Development.pptx
Everything You Need to Know About MongoDB Development.pptxEverything You Need to Know About MongoDB Development.pptx
Everything You Need to Know About MongoDB Development.pptx
 
Mongodb
MongodbMongodb
Mongodb
 
Mongodb
MongodbMongodb
Mongodb
 
mongodb_intro.docx
mongodb_intro.docxmongodb_intro.docx
mongodb_intro.docx
 
The Little MongoDB Book - Karl Seguin
The Little MongoDB Book - Karl SeguinThe Little MongoDB Book - Karl Seguin
The Little MongoDB Book - Karl Seguin
 
MongoDB.pptx
MongoDB.pptxMongoDB.pptx
MongoDB.pptx
 
Pros and Cons of MongoDB in Web Development
Pros and Cons of MongoDB in Web DevelopmentPros and Cons of MongoDB in Web Development
Pros and Cons of MongoDB in Web Development
 
Mongo db dhruba
Mongo db dhrubaMongo db dhruba
Mongo db dhruba
 
Data Migration Between MongoDB and Oracle
Data Migration Between MongoDB and OracleData Migration Between MongoDB and Oracle
Data Migration Between MongoDB and Oracle
 
MONGODB VASUDEV PRAJAPATI DOCUMENTBASE DATABASE
MONGODB VASUDEV PRAJAPATI DOCUMENTBASE DATABASEMONGODB VASUDEV PRAJAPATI DOCUMENTBASE DATABASE
MONGODB VASUDEV PRAJAPATI DOCUMENTBASE DATABASE
 
Introduction to MongoDB and its best practices
Introduction to MongoDB and its best practicesIntroduction to MongoDB and its best practices
Introduction to MongoDB and its best practices
 
MongoDB vs Firebase
MongoDB vs Firebase MongoDB vs Firebase
MongoDB vs Firebase
 
Top MongoDB interview Questions and Answers
Top MongoDB interview Questions and AnswersTop MongoDB interview Questions and Answers
Top MongoDB interview Questions and Answers
 
Introduction to MongoDB How is it Different from RDBMS
Introduction to MongoDB How is it Different from RDBMSIntroduction to MongoDB How is it Different from RDBMS
Introduction to MongoDB How is it Different from RDBMS
 
MongoDB DOC v1.5
MongoDB DOC v1.5MongoDB DOC v1.5
MongoDB DOC v1.5
 
What are the major components of MongoDB and the major tools used in it.docx
What are the major components of MongoDB and the major tools used in it.docxWhat are the major components of MongoDB and the major tools used in it.docx
What are the major components of MongoDB and the major tools used in it.docx
 
edit and approve 2
edit and approve 2edit and approve 2
edit and approve 2
 

Dernier

Ravak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptxRavak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptxolyaivanovalion
 
Log Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptxLog Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptxJohnnyPlasten
 
Ukraine War presentation: KNOW THE BASICS
Ukraine War presentation: KNOW THE BASICSUkraine War presentation: KNOW THE BASICS
Ukraine War presentation: KNOW THE BASICSAishani27
 
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Serviceranjana rawat
 
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130Suhani Kapoor
 
代办国外大学文凭《原版美国UCLA文凭证书》加州大学洛杉矶分校毕业证制作成绩单修改
代办国外大学文凭《原版美国UCLA文凭证书》加州大学洛杉矶分校毕业证制作成绩单修改代办国外大学文凭《原版美国UCLA文凭证书》加州大学洛杉矶分校毕业证制作成绩单修改
代办国外大学文凭《原版美国UCLA文凭证书》加州大学洛杉矶分校毕业证制作成绩单修改atducpo
 
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Callshivangimorya083
 
Brighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingBrighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingNeil Barnes
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...apidays
 
Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfLars Albertsson
 
Data-Analysis for Chicago Crime Data 2023
Data-Analysis for Chicago Crime Data  2023Data-Analysis for Chicago Crime Data  2023
Data-Analysis for Chicago Crime Data 2023ymrp368
 
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Callshivangimorya083
 
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptxBPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptxMohammedJunaid861692
 
Introduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptxIntroduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptxfirstjob4
 
定制英国白金汉大学毕业证(UCB毕业证书) 成绩单原版一比一
定制英国白金汉大学毕业证(UCB毕业证书)																			成绩单原版一比一定制英国白金汉大学毕业证(UCB毕业证书)																			成绩单原版一比一
定制英国白金汉大学毕业证(UCB毕业证书) 成绩单原版一比一ffjhghh
 
Generative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and MilvusGenerative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and MilvusTimothy Spann
 
CebaBaby dropshipping via API with DroFX.pptx
CebaBaby dropshipping via API with DroFX.pptxCebaBaby dropshipping via API with DroFX.pptx
CebaBaby dropshipping via API with DroFX.pptxolyaivanovalion
 
Unveiling Insights: The Role of a Data Analyst
Unveiling Insights: The Role of a Data AnalystUnveiling Insights: The Role of a Data Analyst
Unveiling Insights: The Role of a Data AnalystSamantha Rae Coolbeth
 
Invezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signalsInvezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signalsInvezz1
 

Dernier (20)

Ravak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptxRavak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptx
 
Log Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptxLog Analysis using OSSEC sasoasasasas.pptx
Log Analysis using OSSEC sasoasasasas.pptx
 
Ukraine War presentation: KNOW THE BASICS
Ukraine War presentation: KNOW THE BASICSUkraine War presentation: KNOW THE BASICS
Ukraine War presentation: KNOW THE BASICS
 
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
 
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
VIP Call Girls Service Miyapur Hyderabad Call +91-8250192130
 
代办国外大学文凭《原版美国UCLA文凭证书》加州大学洛杉矶分校毕业证制作成绩单修改
代办国外大学文凭《原版美国UCLA文凭证书》加州大学洛杉矶分校毕业证制作成绩单修改代办国外大学文凭《原版美国UCLA文凭证书》加州大学洛杉矶分校毕业证制作成绩单修改
代办国外大学文凭《原版美国UCLA文凭证书》加州大学洛杉矶分校毕业证制作成绩单修改
 
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
 
Brighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingBrighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data Storytelling
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdf
 
Data-Analysis for Chicago Crime Data 2023
Data-Analysis for Chicago Crime Data  2023Data-Analysis for Chicago Crime Data  2023
Data-Analysis for Chicago Crime Data 2023
 
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
 
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptxBPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
BPAC WITH UFSBI GENERAL PRESENTATION 18_05_2017-1.pptx
 
Introduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptxIntroduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptx
 
Sampling (random) method and Non random.ppt
Sampling (random) method and Non random.pptSampling (random) method and Non random.ppt
Sampling (random) method and Non random.ppt
 
定制英国白金汉大学毕业证(UCB毕业证书) 成绩单原版一比一
定制英国白金汉大学毕业证(UCB毕业证书)																			成绩单原版一比一定制英国白金汉大学毕业证(UCB毕业证书)																			成绩单原版一比一
定制英国白金汉大学毕业证(UCB毕业证书) 成绩单原版一比一
 
Generative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and MilvusGenerative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and Milvus
 
CebaBaby dropshipping via API with DroFX.pptx
CebaBaby dropshipping via API with DroFX.pptxCebaBaby dropshipping via API with DroFX.pptx
CebaBaby dropshipping via API with DroFX.pptx
 
Unveiling Insights: The Role of a Data Analyst
Unveiling Insights: The Role of a Data AnalystUnveiling Insights: The Role of a Data Analyst
Unveiling Insights: The Role of a Data Analyst
 
Invezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signalsInvezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signals
 

Why use mongo db nosql database pros and cons

  • 1. MongoDB : Why use MongoDB NoSQL Database – Pros and Cons RDBMS or Mongo DB, What is the best option is the question of the hour. If you are from the SQL background and in need of knowing closer information and details pertaining to MongoDB then here we are to present you with some quality info here. Yes, the pros and cons of the major kind are exposed. Use it to your best potential. MongoDB NoSQL Database Pros : 1. MongoDB Database is absolutely schema less. It is one major advantage for the users that are doing installations like Security camera features in multiple numbers in essential. Also, when you have a flexible schema just like how it is in the case of MongoDB, then you can find it to be one of the rated best options meant for the Document Stores too. RDBMS can be of futile choice compared to the MongoDB here. Moreover, you have the ease to scale out in case of MongoDB NoSQL Database. 2. It is possible to use the replica sets here and identify the scale reading easily. Auto balancing features is best used to assess the scale reads or by using the option of sharing. You can keep on be firing up new machines as there are least supervision or monitoring services needed in this case of deploying a MongoDB. 3. All you need to do is to add on more machines and add on more RAM as well to increase the overall efficiency of the set up as such. Expansion plans are so flexibly and easily achieved when you are relying upon something like MongoDB. It is not the same case compared to the peers in the business as such. You can add on to the distributions easily to the working set up when you are using the MongoDB.
  • 2. 4. It is possible to use the MongoDB for free of expenditure as you are to run it in Linux, in fact, it is very ideal to be run on anything cheaper than that as a kit too. Based upon the data value that you choose to select you can decide upon the consistency as you will have to mark it up. Hence, the best fastest performance can be easily achieved in that way when you resort to MongoDB. Some of the cons related to MongoDB are listed below as well: 1. Each and every other document in case of MongoDB is stored with field names and hence the data sizes could be significantly higher over a period of time when you see the accumulation. 2. When you are doing something like querying process, then there is not range of poss ibilities of any flexibility in the approach as such when you compare with the premium best options of the other kind. There is no rigid support offered for the transactions in case of MongoDB. 3. Single document level support can be something limited for some type of atomic operations alone. Speed is not so fast or up to the expectations of many when it comes to data analysis or doing some kind of aggregations as such when you are resorting to MongoDB NoSQL Database. Posted By : Ezeelive Technologies