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mongoDB: Faster go-to market DB
What do you like best about the product?
- The flexible schema
- db features like: aggregate, lookup, graph
- 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.
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.
We build an ERP system on nodejs and mongo and now we are building a travel and booking platform.
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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.
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.
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!
Lifesaver or at least product-saver
What do you like best about the product?
MongoDB is very easy to learn and the BSON format make is super clear to read and interact with.
The most important for us was the sharding feature and the fact we could take advantage of atomic operations.
The most important for us was the sharding feature and the fact we could take advantage of atomic operations.
What do you dislike about the product?
It's not a general purpose DB and you need to plan heavily before creating new db schema.
What problems is the product solving and how is that benefiting you?
We were have a lot of performance problems with our write-heavy application and MongoDB helped us save all those problems. The installation and maintenance was also very straight-forward and we were able to pick it up with ease from the online documentation.
Not a silver bullet, but definitely bronze
What do you like best about the product?
Easiest document database with real querying capabilities with map and reduce built in.
What do you dislike about the product?
Update queries get really slow and database performance starts falling linearly with the size of database
What problems is the product solving and how is that benefiting you?
Workflow management with jobs and task tracking. Product catalog with the evolving schema of products.
Recommendations to others considering the product:
It would be wise to design the db in a way that makes optimization of queries or database writes possible. Since it is a nosql document store it is easy to design badly and therefore needs special attention from early on
Most mature open source NoSQL database
What do you like best about the product?
MongoDB is a versatile NoSQL database, that requires limited training to get started. Querying the database doesn't involve writing complex code, but simply sending a JSON filter.
What do you dislike about the product?
Setting up a production system can be rather expensive for small systems. Setup and maintenance can also be rather complicated without paid tools.
What problems is the product solving and how is that benefiting you?
MongoDB has a dynamic schema. This give flexibility to the application, making it possible to easily create backward- and forward compatible versions. The schema does allow the creation of indexes, to increase performance.
Recommendations to others considering the product:
MongoDB can be tricky to setup and maintain. I recommend taking a course and/or using a SAAS product.
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.
MoongoDB as Database
What do you like best about the product?
easy administration of the database as well.
What do you dislike about the product?
I don't have any complain of the product
What problems is the product solving and how is that benefiting you?
sensor data
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