MongoDB

[whooshing] The last one from OpenAI is their new data agent for ChatGPT Work.

The agent is designed for handling proprietary data within an organization with connections to data providers like Amazon Redshift, Datadog, Google BigQuery, ClickHouse, Databricks, MongoDB, and Snowflake.

OpenAI says the features can be used to ingest sales data and generate insights around core metrics like sales conversions and retention.

The goal is to realize the promise of being able to talk to your data and perform real analysis without needing to touch additional tools.

It's kind of like database engines, right? Database management systems, right? So initially, initially, right? You're thinking about building your amazing application.

And so do you use MS SQL? Do you use Postgres? Do you use MySQL? Do you use MariaDB? Do you use, what are the fuck Oracle's doing nowadays? Do you use MongoDB? Do you use DuckDB? duck db or cockroach db or whatever else right and again think about think about a stack think about a stack and so part of the stack is going to be your record store the record store is going to be this database management system and here's the thing is when you're deciding on the database database management system to use that's going to be long and tedious and a whole bunch of arguments it's going to be a complete and utter pain in the ass here's the deal Once you figure out the database management system you're using, and once you've built your system on top of that, and especially once you've deployed the systems to the end user, you're done.

Right? There will be the question of why did they decide to use Postgres 10 years ago as the back end? there's not really going to be the question of why do you continue to use Postgres, as long as it continues to work, as long as it continues to do the things it's supposed to do.

We decided on Postgres years ago because who the fuck knows, and we keep using it because it works.

Infrastructure, operating system, that core piece.

I know you guys have had a lot of people from MongoDB on.

Mm.

Uh, that, that piece of the market is very durable if you're able to enter into it versus the application layer, which there's a lot of AI application layer companies coming into the market right now.

Throw that on Kubernetes, no problem.

But if you've got a big-ass MongoDB database, that is going to be super time consuming to reload if it goes down entirely from an external primary, leave that on an external managed service.

Yeah.

So basically what you're saying is something like caching, like Redis, that's a good candidate for running a Kubernetes stuff like Mongo and your actual, I think you said it quite nicely when you said, well, any critical databases, keep them outside the Kubernetes cluster unless you really want to.

Thank you so much for joining us today in the Boardroom Club, and pleasure to have you, Ben.

So today, we are fortunate enough to interview none other than Ben Cefalo, CPO of MongoDB, which revolutionized our company's store, managed and accessed their data.

So, Ben, thank you so much for joining us today.

Thank you so much for having me.

Looking forward to it.

So Ben, I want to start with the most interesting question that everyone asking today about token marching, right? Because it seems that some companies are going off the rail with all the budgeting.

And I guess since you are the product leader of MongoDB, what do you think about all this uncertainty in the market, how to manage it correctly?

Well, there's two things I think going on in the market today.