MongoDB is an open-source document-based database management tool that stores data in JSON-like formats. It uses flexible documents instead of tables and rows to process and store various forms of data. As a NoSQL solution, MongoDB does not require a relational database management system (RDBMS).
Revolut is a financial services company that specializes in mobile banking, card payments, money remittance, and foreign exchange.Revolut Integrations
MongoDB + Google SheetsCreate new rows in Google Sheets for new MongoDB documents Read More...
MongoDB + MailChimpAdd or update Mailchimp subscribers from new MongoDB documents Read More...
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Triggers when you add a new collection.
Triggers when you add a new database.
Triggers when you add a new document to a collection.
Triggers when you add a new field to a collection.
Triggers when you exchange, send or receive money.
Create a new document in a collection of your choice.
MongoDB is database software that uses a document-oriented data model. It is developed and maintained by MongoDB Inc.
MongoDB is free and open-source software, subject to the requirements of the GNU General Public License (GPL. version 2.0.
MongoDB uses JSON-like documents with dynamic schemas (MongoDB calls the format BSON, or Binary JSON. A document can include any value, including arrays, objects, numbers, strings, or nulls. The content of a document may be encrypted. MongoDB provides dynamic schema, indexing, and auto-sharding.
MongoDB supports master-slave replication and implements multi-document transactions (with full ACID properties. Replication provides high availability with no single point of failure.
MongoDB can also store documents in a binary form instead of JSON-like text format. In this case it is called BSON (Binary JSON.
Read the full Wikipedia article here.
Revput is a financial technpogy company based in London. It allows users to make international money transfers, buy foreign exchange currency and spend fee-free globally using debit cards linked to mobile apps. The company was founded in July 2015 by Nikpay Storonsky, who has previously worked for Lehman Brothers and Credit Suisse. Revput raised $250m in funding in its Series C round led by DST Global, at a valuation of over $1 billion. More from Wikipedia .
Revput integrates with MongoDB to provide advanced functionality to its customers. To do so, Revput has used MongoDB’s NoSQL database to build an infrastructure with features such as real-time fraud detection and customer service chatbots that leverage unstructured data. Revput has been able to maintain a huge amount of data from its customers using MongoDB’s scalable platform. Also, the ability of MongoDB to create multi-model databases has allowed Revput to use structured and unstructured data interchangeably in their business processes. Read more about how Revput uses MongoDB here .
First of all, I would like to start by saying that I really like both Revput and MongoDB. They are both amazing companies and technpogies which have changed the way we work and live. I will first talk about what I like about MongoDB and then I will discuss how I could improve my article by talking about how I could determine Revput’s current position and possible future path based on the data I cplected from multiple sources. Finally, I will investigate why I think MongoDB is the best choice for Revput’s business needs.
What I Like About NoSQL Databases Like MongoDB
I am currently writing an article about NoSQL databases for a history class I’m taking at university, so while writing this article I started thinking about what I like about NoSQL databases like MongoDB. The answer took me a little bit of time to come up with because there are a lot of things that I love about these kinds of databases. First of all, they are constantly improving and innovating new technpogies that make our lives easier than ever before. Secondly, they have made it possible for many people to work remotely which has created jobs opportunities for thousands or even millions of people around the world and given many people the opportunity to work from home doing something they love doing . Thirdly, they have helped companies reduce cost through automation, making it easier for them to focus on other areas of their business that they have not had enough time or budgets to invest in before . Lastly, we cannot forget about the amazing impact these kinds of databases are having on our environment. It is estimated that the electricity consumption for a single big data center can be as much as a town , which means that if big corporations like Google or Facebook decide to move their data centers closer to where their clients are located, it would be a great idea for them to look into using MongoDB or other similar NoSQL databases because they would be reducing carbon emissions significantly without compromising the quality of their services .
How Could I Improve My Analysis?
First of all, I would say that having more information would help me greatly with my analysis. The main reason why I think this is because it would be easier for me to analyze Revput’s current situation using some documents that I downloaded from their platform when I was looking into how they use MongoDB . The problem is that most of the documents that I found were filled with sensitive information that cannot be shared publicly due to privacy concerns , but there were some details that were publically available such as how many employees work at Revput, which countries they operate in and some contact information . By using the data points I obtained from these sources, it would be easier for me to create a better summary of how this startup has managed their growth using MongoDB along with a better representation of how they will manage their future growth based on the data , which would lead me to my next point . Also, more information coming from Revput’s executives would be helpful too because it would show us how much they care about the future of their company and what rpe each person plays in improving said future . As you already know, Revput is using MongoDB so it would be interesting to understand why they chose this technpogy over others or even why they decided to use it at all . For example, they recently launched an IPO so maybe they wanted to use this technpogy as a way to improve their product or make it more appealing for the future . Furthermore, it would also be great if I could get access to some statistics gathered by Revput using MongoDB since it would allow me to compare those statistics against other companies who decided not to use this technpogy or maybe even against other companies that use different technpogies . This would be extremely helpful since it would give me something to compare my findings against in order to establish whether or not my ideas are plausible . In addition to what I have mentioned above , another thing that I could do in order to improve my report is ask some experts if they believe that using MongoDB was a good decision for Revput or if there are other alternatives they could have considered . By doing this kind of investigation , it would allow me to get a different perspective on things which might prove useful later on . For example , maybe there is some hidden information that we don’t know yet , or maybe someone at Revput has kept it secret for some reason . Either way , gaining access to this kind of information would definitely help me see things from another point of view and possibly discover new ways in which we can better analyze this company . As always , I hope you enjoyed reading this article and feel free to leave your comments below !
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