The best solutions for pro db
Totally recommend MongoDB Atlas! Very easy to setup fully pro version on MongoDB, with replicas or sharding. Price is optimal vs quality.
Incredibly good
It's very easy to setup.
The price is affordable.
They offer good support.
The only things I miss are:
Manual backup button (to make a backup right now)
Web query interface
Best MongoDB Hosting Provider Available
A few items set MongoDB Atlas apart from the other MongoDB hosting providers:
- Make cluster changes with a few clicks, such as dynamically scaling the cluster when needed (including dynamically changing hardware)
- Per hour pricing
- API
- Sharding support, larger replica sets available
- VPC peering
- Encrypted EBS volumes
Everything as advertised...but beware AWS costs
So, granted, much of this can be attributed to my inexperience with AWS and their billing, but Atlas makes it so easy to setup, perhaps a warning of:
1) both the cost of Atlas service itself;
2) the cost of the AWS servers Atlas needs to run on;
is warranted when calculating the total expected bill.
So, 5 stars for Atlas. Ding on the cost calculator and unexpected high bill from AWS.
MongoDB Atlas - a life savour!
MongoDB Atlas has been fundamental for my company in the last few months. It enabled us to have a painless and affordable MongoDB service, extremely reliable and secure. With MongoDB Atlas you can scale the database according to your needs - it's absolutely fantastic! Try it out - you won't regret it!
No sql Database
What do you like best about the product?
Mongodb does not have primary Key and foreign key concept which makes it better than SQL database.
It has relationship between tables and which can be related easily.
It has npm packages to integrate to Nodejs server.
It has mongodb driver npm package to access all native methods
It has packages for auto-populate and auto-delete(soft delete)
What do you dislike about the product?
It is not easy to sort the result that is json according to the front-end developer.
It does not use elastic search.
Validating the sub-schema is hard.
It is not easy to join two tables (map-reduce)
What problems is the product solving and how is that benefiting you?
Faster database operations.
Easy to write database queries via NPM packages.
Easy to relate tables that is establish relationship between tables.
It just works!
MongoDB Atlas allows someone to easily spin up MongoDB without needing to worry about the underlying infrastructure. It lets those just starting with MongoDB to jump right to the development of their app.
Easy to work with...
What do you like best about the product?
Mongo was extremely easy to get started with. We found lots of resources to get up and running (from both Mongo and 3rd parties) but none were really necessary. The performance for our relatively small (~20GB) dataset is fine. There are a number of cloud services that provide hosted solutions.
What do you dislike about the product?
The fact that it was easy to set up also meant we left lots of default settings for way too long. Coming from a RDBMS world, it was tough to fully understand and apply the aggregation framework that MongoDB uses. Additionally, being a NoSQL DB, not having a schema for our data has burned us many times. For example, before we hardened our code, our dates were stored as Date objects, numbers, Strings, and nulls.
What problems is the product solving and how is that benefiting you?
We are using MongoDB for our primary storage medium. It is easy to use, performant enough for our needs, and easy to find help and support for.
Recommendations to others considering the product:
If you are looking for an easy NoSQL database to use, MongoDB is a good place to start. However, be aware that the flexibility gained by using schema-less persistence must be made up in code.
Versatile Document-Oriented DB
What do you like best about the product?
We've used mongo in three different projects: in to of them for data serialization and for schema analysis for the other one. The query API is powerful and expressive and object serialization (with Morphia, I am sure there are other great frameworks) is seamless and with minimal annotation overhead. MongoDB Compass tool that comes with it is fantastic for statistically analyzing the schema of arbitrarily hierarchical data.
What do you dislike about the product?
I would probably add a bit more flexible wildcard-style query capability (i.e. when you don't know a specific name for a field, but know a little about the structure it should satisfy), but I'm being picky.
What problems is the product solving and how is that benefiting you?
Natura language understanding. Mongo's support for heterogeneous documents has been very handy.
Recommendations to others considering the product:
Get up and running in no time with just little knowledge of JSON.
Decent for non-rapid database calls
What do you like best about the product?
Fast NoSQL results, easy setup, easy configuration.
What do you dislike about the product?
Read/write locks become a bottleneck. Replication authentication is tricky.
What problems is the product solving and how is that benefiting you?
We use MongoDB for our messaging system. I used it in a project previously for location mapping, their Geo location support is amazing.
Recommendations to others considering the product:
Consider other NoSQL databases
