My company considered performance against Oracle DB or MS SQL and decided to use the solution for a particular project because its performance is very fast in comparison. 

Neither the solution nor Oracle DB is suitable all the time, so selection depends on use cases. The solution is definitely the top choice when there is no SQL database requirement. 

I did evaluate other options before choosing MongoDB.

We evaluated OracleDB and MongoDB. We decided to work with MongoDB as its interface is easier to understand and more universal. It offers ease of integration and simpler configurations compared to OracleDB. It also provides all the essential functionality.

We did not evaluate other similar solutions before implementing MongoDB.

Prior to MongoDB, we focused on relational databases.

We didn't really evaluate other solutions. We did not have strict requirements in choosing a database. We just needed to keep JSON files informed when we produce them and MongoDB seems to be fine for us.

We also considered Cosmos DB. 

We have one customer using this solution. They asked to use MongoDB because they deal with large amounts of data. Oracle and MySQL cannot handle such large amounts of data so they need to migrate to a NoSQL database. For this reason, they asked us to evaluate MongoDB.

We use a lot of different database products and the choice depends on the use case.

With respect to NoSQL, we did not evaluate other vendors because when we implemented this solution four and a half years ago, it was the only scalable NoSQL database. This made it a rather obvious choice for us at the time.

We did not consider another product, as MongoDB was part of the whole implementation.

We did compare Cassandra against MongoDB, but we faced a few problems while data was restoring with Cassandra and chose MongoDB to avoid such issues.

My first foray into MongoDB was actually when I started using a Google data store which is very similar. We ran into problems because we didn't have any search or solutions for it. We switched over to MongoDB because that had the basic search engines we needed so we can actually get some basic search going and be able to scale out. 

We didn't do a technology selection. We just had other technologies that didn't pan out so we gradually moved into MongoDB. 

When you compare MongoDB to other DBs like the SQLOne, they are all the same system, in terms of performance. 

I did a benchmark between SQLBase and MongoDB. The performance and some queries in SQLBase are much better.

We had an RFP process to evaluate between similar product categories.

The solution is faster than that of the competition's.