MongoDB is the leading opensource and cross platform NoSQL database. It is much faster than SQL counterpart databases particularly when dealing with large data retrieval use cases. Although MongoDB can’t support standard data transactions, it doesn't limit its ability to provide enterprise level dependability and scalability. Our team has been involved with several large-scale projects relying solely on MongoDB to develop high transactional queues and messaging systems with MongoDB Replica Set instances delivering 100% production uptime and supporting millions of daily operations. We have developed DAL (Data Access Layers) in both Microsoft .NET and NodeJS Frameworks for abstracted and standardized interactions to the MongoDB instances, which have helped speed development times significantly when building new application functionalities. If you are considering or currently using MongoDB, we’re confidant that we can help utilize it to its full potential.
To better understand the scope of your next or existing MongoDB project, we would first focus on gathering the following basic information:
Depending on the size and complexity of your MongoDB project based on the requirements you provide to us, we would compile an estimate for your review before we begin any work. Our MongoDB development services are flexible with either market hourly rates or fixed bids. We only charge for functioning code per the business requirements you provide. Therefore, if there are any bugs as a result of our code implementations, we would fix them free of charge!
Our goal is to complete your MongoDB project in a timely manner while addressing all of your requirements. We would work together in ensuring the deliverable meets all of your expectations before the project is handover. For larger scale or ongoing projects, we would normally structure implementation handovers and approvals in phases or per completed requirement tasks.
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MongoDB is the leading opensource and cross platform NoSQL database. It is much faster than SQL counterpart databases particularly when dealing with large data retrieval use cases.