MongoDB World 2017 Experience
What do you like best about the product?
Great to know new and upcoming mongodb features, client sessions sharing their experiences
What do you dislike about the product?
Nothing yet. So far it is good to know new features and good conference sessions.
What problems is the product solving and how is that benefiting you?
Schemaless design, great performance and rich query and aggregation api
Manage MongoDB like never before
I started with MongoDB cloud manager which used to be called MMS in earlier days to manage MongoDB setup. I can make the difference between these two. The new Atlas is like million miles ahead of MMS. It has all the features I thought of using while started with MMS. Like installing MongoDB without knowing much of configuration. Folks from development background it is a humongous task. As I myself from development background I struggled a lot to do all these steps. Now it is a button click. The restore, backup think of anything of managing and administering Atlas has the answer. It looks so good that I can start development withing 100 minutes of starting Atlas. It shorten the time to start development in MongoDB almost by 80%. And with the free tier it is an irresistible offer for any new comer. I myself use the free tier to explore more every day. It made my job even easier as I can do all the experiment in free tier before pushing the changes in my production system. Thanks team MongoDB for this awesome job.
Now available in Tokyo Region
MongoDB service already set up according to best practices.
Since it became available in the Tokyo region, I think that it is necessary and sufficient for this service in most cases when you want to use MongoDB on AWS.
MongoDB 3.4 Review!
What do you like best about the product?
My top 3 favourite features
1. Views
2. Linearizable reads
3. Network compression
4. Chunk balancing parallelism (did I mention 3 features only?)
What do you dislike about the product?
Shard zoning. This is merely a rebranding of shard tagging. It should not be counted as a new feature!
What problems is the product solving and how is that benefiting you?
Allow our database to be compliance with the application response time. Considering our dataset, it is quite a feat!
Pretty good!
Instead of building your own MongoDB cluster on EC2 instance, use Atlas instead. It's definitely better and easier! As simple as using RDS :)
Flexible, Fast, Easy to Setup
What do you like best about the product?
The Schemaless design makes rapid prototyping and iteration incredibly easy. The free tier platforms make it a great option for trying out and can take you incredibly far though there are great options/support provided for Enterprise services. For programmers, there are many well-maintained libraries for wrapping around the API.
What do you dislike about the product?
Though the database itself is fantastic, the third party tools to manage DBs are only ok. They are improving, but tools like 3T and Robomongo don't take complete advantage of the schemaless model.
What problems is the product solving and how is that benefiting you?
Data backups, restoring instances, and fast-paced products are all made easier with Mongo.
Recommendations to others considering the product:
Make sure you read above the vulnerabilities of unsecured Mongo instances and don't get your data kidnapped!
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
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.
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.
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
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
