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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.
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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)
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)
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.
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
Easy NoSQL solution
What do you like best about the product?
Easy to use, but still require a little reading up before able to put to use. Able to search for specific usage relatively easy on the web. Stays out of the way of developers attention
What do you dislike about the product?
Nothing I do not like so far. If anything, you can improve the preformance
What problems is the product solving and how is that benefiting you?
A mySQL replacement. MongoDB delivers and improve my speed of delivery
Recommendations to others considering the product:
It delivers. I think it is easier to use than SQL solutions. No problems with it
MongoDB a different alternative
What do you like best about the product?
Well i like the fact that is schema less , the structure of a single object is clear we do not have complex joins.
Deep query-ability., and it is something that is in trending
Deep query-ability., and it is something that is in trending
What do you dislike about the product?
Well first thing i am so use to tradiciont TSQL so i am still getting used to it, sata size in MongoDB is typically higher, less flexibity with querying (e.g. no JOINs), no support for transactions(or maybe i do not know how to do them ).
What problems is the product solving and how is that benefiting you?
Running regressions and store the result
Recommendations to others considering the product:
Try to provide a path for the ones that are TSQL to experience MongoDB sometime we are affraid of the transition because we got the feeling that Mongo might not be as stablish as less say MSSQL
Powerful NoSQL DB
What do you like best about the product?
MongoDb is a powerful NoSQL DB and has become very performant with the addition of the WiredTiger storage engine. MongoDB is easy to setup and easy to work with in a variety of languages. Editing data is easy, since it is essentially modifying JSON.
What do you dislike about the product?
Joining data can be a bit hairy, so you have to make sure MongoDB is actually the correct solution for your use case. Querying can sometimes be confusing at first when wanting do more than a simple field match.
What problems is the product solving and how is that benefiting you?
We use MongoDB collections for storing a variety of content data that powers our website. An object can be a specific product or an article, or configuration data.
Recommendations to others considering the product:
Mongo is a great schema-less option that can allow you to dump your objects straight from your code as-is. This means not having to deal with normalization like in relational databases and having to do joins across collections, since all the data can be tied directly with the object. This requires a different mindset than when designing a relational DB-based project.
mongo as utility to hold large data
What do you like best about the product?
holding a generic large scale of data in mongo-db
What do you dislike about the product?
the documentation is not very clear/updated
What problems is the product solving and how is that benefiting you?
holding large scale of data
Recommendations to others considering the product:
it is a very good utility to hold large data but searching in this data is not very fast
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