jd_mongodb

You knowledge of MongoDB is a little out of date.

MongoDB supports SQL queries. Tableau has an MongoDB connector. You can connect MongoDB to Excel via our DataAPI and of course our Cloud platform provides embeddable charts.

Only the DataAPI is a relatively recent addition. The rest are very mature features.

Comparing any modern database (i.e. developed after 1980) with IMS is like comparing a flint knife with a Barrett .50 calibre.

We would love to help promote this? Ping me Joe dot Drumgoole at mongodb.com as we can get you some time on our podcast.

MongoDB provides MongoDB Atlas, our own managed service. which is supported on every cloud (AWS, Azure, GCP).

I am not disputing the bill, just curious how he got there. He doesn't say in his post.

I did manage to approach his costs by running a sharded cluster with our largest configuration (M600 nodes with 640GB RAM. 4TB storage and 3.8m IOPS).

That is priced quite clearly on the bottom page at 102.49 USD an hour.

MongoDB actually doesn't store JSON. It stores a binary encoding of JSON called BSON (Binary JSON) which encodes type and size information.

This means we can encode objects in your program directly into objects in the database. It also means we can natively encode documents, sub-documents, arrays, geo-spatial coordinates, floats, ints and decimals. This is a primary function of the driver.

This also allows us to efficiently index these fields, even sub-documents and arrays.

All MongoDB collections are compressed on disk by default.

(I work for MongoDB)

Every field in a MongoDB document (we encoded documents in BSON at the driver level) is typed and you can apply a schema to any collection if you choose to do so.

It's almost as if MongoDB didn't create the JSON API that practically everyone has adopted.

Do you have a reference to that article?