MongoDB - A ninja tool for Agile developer
What do you like best about the product?
Being schema-less provides lot of advantage in the agile atmosphere
What do you dislike about the product?
Lack of open source IDE available, need to expose more of the paid tools to be available with minimal options in the community edition too.
What problems is the product solving and how is that benefiting you?
Log Analytics, Geo-information systems, and health data metrics analysis. Geo-location capabilities of mongodb are great out-of-box.
Great way to get apps running quick with reliable data.
What do you like best about the product?
The flexibility of the schema and easy access through applications.
What do you dislike about the product?
Lack of familiarity of querying techniques in mongodb. Will improve with time.
What problems is the product solving and how is that benefiting you?
Application development speeds are increased. Data storage and maintenance is facilitated. Possibility of presenting more interesting data.
Recommendations to others considering the product:
Don't rely on traditional SQL paradigms.
mongoDB: Faster go-to market DB
What do you like best about the product?
- The flexible schema
- db features like: aggregate, lookup, graph
What do you dislike about the product?
To find something in the documentation takes me time.
I also find it difficult to find in-depth articles on indexing, sharding etc.
What problems is the product solving and how is that benefiting you?
Building modern day micro-services based, API centric solutions for our clients.
We build an ERP system on nodejs and mongo and now we are building a travel and booking platform.
new powers
What do you like best about the product?
networking and otheruseful opportunities
What do you dislike about the product?
would be easier to limit session availability by having pre-registration :)
What problems is the product solving and how is that benefiting you?
launching websites, realize that javascript and mongodb go together perfectly
Flexible development database
What do you like best about the product?
The ability to stand up object models as required without having to map out all possible configurations before starting development
What do you dislike about the product?
The pressure(?) of the community to use Mongoose, which should no longer be the case with the release of JSON Schemas.
What problems is the product solving and how is that benefiting you?
Prototyping for rapid turnaround projects that may or may not have paying customers
Recommendations to others considering the product:
It's a great choice for backend on any new applications.
Saving us $ and uping our game at the same time
Atlas has exceeded our expectations. For the same or better cost than setting up our own cluster, we get a free automated DB SysAdmin on staff. System updates, MongoDB updates and configuration changes are taken care of reliably in a push of a button. Being able to increase or cluster size or change to larger instances and knowing that it is being done right is excellent. Having all this at no additional cost is even better.
We are using the VPC peering connection capability to create a more secure connection to our MongoDB cluster. The docs are good, but I still had a question. Posted my question in the ever present help chat button and had help within a few minutes.
MongoDB ruined SQL databases for me
What do you like best about the product?
The flexibility of document focused databases makes it easy to change or update schemas, hold data with varying sample rates or different, non-subset fields.
What do you dislike about the product?
High performance drivers to native data structures in other programming languages. Specifically, if I want to store time series data in Mongo, then retrieve in Python, the list of queries has to be iterated through to pull out the individual data fields. Some third party solutions provide a better solution.
What problems is the product solving and how is that benefiting you?
Data storage for IoT applications. SQL is certainly popular with business insight applications, but rolling out new and developing products in a start up meant we could not future proof our data collection up front when working with SQL databases.
Recommendations to others considering the product:
Be sure to start with later versions of MongoDB, updates in the last year have really improved indexing performance and flexibility of aggregations. Some SaaS deployments of MongoDB are too far behind.
Amazing DBaaS
If you're looking for a DBaaS solution that brings innovation, simplicity and easy of management, you have to give a try for ATLAS.
ATLAS will help to setup the security of your DBaaS environment and you will have a ReplicaSet or a Sharded Cluster up and running in minutes.
Quick, reliable NoSQL solution
What do you like best about the product?
MongoDB is really very good NoSQL database. It is simple but powerful. It is quick on large datasets and simple to retrieve data. We use it mainly for logs and statistics data. Where our SQL-based database it uneffective Mongo comes and helps us.
What do you dislike about the product?
If you newer worked with NoSQL DBs it would be a little bit unusually to use it but perfect documentation and simple (JS-based) query language helps you to start quick.
What problems is the product solving and how is that benefiting you?
MongoDB is used for statistics and logs data. Store that in SQL DB is very resourse expensive and uneffective.
Recommendations to others considering the product:
If you have a lot of unstructured data such as logs you should give MongoDB a try!
Consistent, Fast Performance, easy to scale
With MongoDB Atlas the elevation to the next level takes place. This is how a Database as a Service should be. A cluster can be spinned up in minutes. The interface is simlpe, it offers the tools dev-ops need but without getting into shell scripting. You can start slow, even free and scale up to what your business needs.
I have run some tests and I can say I was impressed how fast I could get the planed results. I did not checked it out in total depth, fair is that you are charged only for what you use. Just plan carefully so that there is no surprise.
