Have you had experience using NoSQL solutions in your projects?

Yes, I have used NoSQL databases such as MongoDB and Redis in several projects. For example, I used MongoDB for storing documents with a dynamic structure, which allowed flexible data handling without a rigid schema. Redis was used as a cache to speed up access to frequently requested data.

Example of using MongoDB with Python and the pymongo library:

from pymongo import MongoClient

client = MongoClient('mongodb://localhost:27017/')
db = client['mydatabase']
collection = db['users']

# Adding a document
collection.insert_one({'name': 'Ivan', 'age': 30})

# Finding a document
user = collection.find_one({'name': 'Ivan'})
print(user)

NoSQL solutions are well-suited for projects with large volumes of unstructured data and when high scalability is required.