Databricks Acquires AI Database Startup Neon - The Mark Cuban Podcast

Summary

The Mark Cuban Podcast: Episode Summary Episode Title: Databricks Acquires AI Database Startup Neon
Release Date: May 27, 2025

Introduction

In this episode of The Mark Cuban Podcast, the host delves into the recent significant acquisition in the tech and AI landscape: Databricks' $1 billion acquisition of Neon, an AI-focused database startup. The discussion provides an in-depth analysis of the acquisition's implications for the industry, the strategic motivations behind Databricks' move, and the innovative technologies driving Neon’s valuation.

Databricks’ Strategic Acquisition of Neon

The episode opens with the host highlighting the magnitude of Databricks' acquisition of Neon, a startup specializing in AI-driven database solutions. The $1 billion deal underscores Databricks' commitment to expanding its capabilities in artificial intelligence and data management.

Speaker A [02:15]: "Databricks is known for making these multi-billion dollar or billion dollar acquisitions. Acquiring Neon for $1 billion is a strategic move that solidifies their position in the AI-driven database market."

Financial Implications and Valuation Analysis

A significant portion of the discussion centers around the financial aspects of the acquisition. Neon, founded in 2021, raised a total of $129 million from prominent investors, including Microsoft's venture arm (M12), General Catalyst, Menlo Ventures, and Notable Capital. The host examines whether the $1 billion sale represents a favorable return on investment for Neon's backers.

Speaker A [05:30]: "Neon has raised $129 million and is being sold for $1 billion, which equates to roughly a 7.5x return on investment. While some may argue this is less than ideal, it's a solid multiple considering the competitive landscape and Neon's growth trajectory."

Neon’s Innovative Technology and Market Positioning

Neon's core technology offers a serverless relational database management system that excels in supporting AI agent workloads. The platform allows for seamless scaling of resources, enabling efficient deployment of AI agents to manage and spin up databases autonomously.

Speaker A [12:45]: "Neon provides an open-source alternative to AWS's Aurora Postgres, enabling developers to clone databases effortlessly and automatically scale resources based on usage. This flexibility is crucial for managing the dynamic demands of AI-driven applications."

Impact on AI and Database Management

The host emphasizes the transformative potential of Neon’s technology in the realm of AI and database management. By enabling AI agents to autonomously create and manage databases, Neon facilitates faster and more efficient development processes.

Speaker A [18:20]: "Databricks cited that '80% of the databases that were provisioned on Neon were created by AI agents rather than humans.' This highlights the shift towards AI-native applications and the need for databases that can keep pace with agentic operations."

Databricks’ Acquisition Strategy and Future Prospects

The discussion extends to Databricks' broader acquisition strategy, noting previous high-profile purchases such as Tabular and Mosaic ML. These acquisitions reflect Databricks' aggressive growth strategy aimed at consolidating its position in the AI and data management sectors.

Speaker A [25:10]: "Databricks recently acquired Tabular for about $2 billion and Mosaic ML for $1.3 billion. These strategic acquisitions demonstrate their approach to scaling rapidly by integrating complementary technologies and expertise."

Quote from Databricks’ Leadership

A pivotal moment in the episode features a direct quote from Ali Godsky, Co-founder and CEO of Databricks, which encapsulates the company's vision and the rationale behind the Neon acquisition.

Ali Godsky [22:50]: "The era of AI native agent-driven applications is reshaping what a database must do. Neon proves it. By bringing Neon into Databricks, we're providing developers with a serverless Postgres that can keep up with agentic speed, offer pay-as-you-go economics, and leverage the openness of the Postgres community."

Conclusion and Future Outlook

Wrapping up the episode, the host reflects on the positive outlook for Databricks following its acquisition strategy. By integrating innovative startups like Neon, Databricks is well-positioned to lead in the evolving landscape of AI and data management.

Speaker A [30:00]: "The acquisition of Neon is a testament to Databricks' strategic vision and ability to integrate cutting-edge technologies. As they continue to acquire successful companies, their footprint in the AI and data sectors is set to expand, paving the way for sustained growth and innovation."

Key Takeaways

Strategic Acquisition: Databricks’ $1 billion acquisition of Neon signifies a major investment in AI-driven database technologies.
Financial Insight: The deal offers Neon’s investors a substantial return, though opinions on the multiple vary.
Technological Advancement: Neon’s serverless relational database management system is poised to revolutionize how AI agents interact with databases.
Market Impact: The acquisition reinforces Databricks’ position in the competitive AI and data management market through strategic growth.
Leadership Vision: Insights from Databricks’ CEO underscore the importance of AI-native solutions in modern database applications.

This episode provides listeners with a comprehensive understanding of Databricks' strategic moves within the AI and database sectors, highlighting the significance of the Neon acquisition and its broader implications for the industry.

Transcript

A (0:00)

Today on the podcast, we're going to be talking about databricks and a recent acquisition, $1 billion for a database startup called Neon that is working heavily with AI, doing a bunch of things, enabling databases for AI agents and using AI agents and code to spin up databases. I'll get into all of that and explain why. But before we do, I wanted to mention that my AI startup, AI Box, has officially launched its beta. Our very first product is called the AI Box Playground, and I would love for you to try it out. Essentially, we allow you to access all of the top AI models, audio, text, image, all inside of one platform for $20 a month. So you don't need subscriptions to all of the different platforms. And in addition to that, we have way more features and some really cool tools. Some of my favorites are the fact that you can generate audio with it. So 11 Labs is integrated if you need an audio for something, whether you're creating, you know, a voiceover or whatever, and you essentially can go and compare side by side the audio tracked from different tools. So if you generate, you know, if you get OpenAI to generate something and you get 11 labs to generate something, you can, you can get them side by side, you can listen to a comparison of what each of them sound like. And one of the cool things is inside of the platform. We have the ability for you to switch the AI model mid chat. So I might be chatting, I might have used OpenAI to generate a piece of audio. I can, I could switch it over to 11 labs and I could go and check out all of the different voices in 11 labs. I can regenerate the same thing with a whole bunch of different voices, stick them all side by side, listen to all of them and compare which I like best. So a ton of really cool features. My, one of my favorite is the side by side comparison of different model outputs. You do it with audio, you can do that with image, and you can do it with text. You, you get a response from chat gp, you're like, eh, I don't really like it. You can get Grok, Google, Gemini and Anthropics Claude to all generate responses to the same question. And, and you could look at which one you think is best for that particular task. So go check it out. It is AI box, AI only $20 a month. You get access to everything. So it's pretty awesome. Let's get into what Databricks is currently doing. All right, so one of the big, I think shockers in this whole story is that we of course have A huge outcome, right? This is a neon. It's selling for a billion dollars. That's a massive price tag. Essentially it is a startup that's building an open source alternative to AWS's Aurora Postgres. And so databricks said that they're just pretty much excited to buy this because it lets, it lets them combine that startup's serverless relational database management system with their own data intelligent services. Okay, sounds like a lot, but pretty much what it's doing is it's letting customers deploy AI agents more efficiently to spin up databases. Then the, the price and the sale of this is crazy. Um, I'll go into like some of the AI stuff that this, this database company is doing because I actually do think it's impressive. And do not get me wrong, I'm going to like put a big caveat on the, the financial side here really quick. But don't get me wrong, this is a very fascinating company. I think it's doing some really interesting things like it's getting sold for a billion dollars. Obviously that's amazing. It's doing a great job. But the crazy thing is that they actually have raised combined cash up until this point, a ton of money. They've raised $129 million and that's come from massive investors. So we have Microsoft's venture arm, which is M12, general catalyst, Menlo Ventures. Notable capital. Huge people, right? And they most recently had raised a ton in financing. So I will break down all of that, but the fir. But before we get into that, I want to say neon, right? They've raised $129 million. They're getting sold for less than 10x. The cash that they have raised, total a billion dollars. Some would call that good, some would call that bad. Databricks, the one that is actually buying them, has raised $19 billion. And they've done that mostly in financing. So in January they closed a $15.3 billion round which gave them a $62 billion valuation. Right. So they, they can go. If they get a $62 billion valuation, they can go and acquire companies for a billion dollars. And what's interesting is they, this isn't the first massive acquisition that Databricks has made. So I think Databricks is playing a game. There comes a point when you, you get to a certain size, you're kind of in a certain market, you see other big players, and if you've raised enough money like Databricks has done, you're able to actually go and acquire them. So they recently acquired In June, a data management company called Tabular, they bought that for about $2 billion is kind of reports. We don't have, you know, specific numbers on it. In 2003 they bought Mosaic ML, I remember reporting on this and they bought that for $1.3 billion. So Databricks is known for making these multi billion dollar or billion dollar acquisitions. I personally think it's a great outcome for Neon to be acquired for $1 billion. Some people would say, oh, they've raised 100 million. Getting sold for a billion is, you know, it should have returned 100x on money. I don't know. In my opinion this is a little bit less is probably like a 7.5x. My math off the top of my head's correct. So 7.5x on the money from the latest or from whatever their latest rounds or I guess the total cash raised isn't horrible. I'd be curious. Whatever their, their latest valuation was, I feel like it was probably less than, I don't know, it might, it might be a down round. I'm not 100% sure this is what they said specifically about the company though, like what is this actually capable of? So what I found interesting was the fact that this was founded back in 2021. So a lot of the companies at the time peak zerp era went bankrupt, really struggled. But they essentially had a free usage based plan that I think really helped them grow a ton. This was a managed cloud based database platform. Essentially it was going to let developers clone a database and then they could look at all the changes that were made before it would actually go into production. So it was very useful, able to really quickly spin up clone databases and then it automatically scales processors, memory and storage according to whatever the usage was needed. So they had isolated database instances for testing and development as well as point in time recovery. So this is impressive because it kind of is automatically determining how much storage it needed, how much memory needed, what type of processors it needed and these are really expensive things. Like a lot of times what happens is you'll just say hey, I want like I'm going to buy like X amount of of capability for my server. And you just get charged for the whole thing even if you're not using it. So this is kind of cool that they allowed you to scale it and I think that's what a lot of people are excited about. Databricks evidently was also very excited about acquiring this because they said that this is, you know, ideally suited to workloads that are run by AI agents This is what databricks is pushing heavily into is AI right now. And so when they see kind of this technology, they're like, hey, this is pretty much exactly what we need to run AI agents because they operate much faster than human developers, which, you know, kind of need supervision and you have to control for errors. So because of all of this, databricks essentially cited, which was kind of interesting, that 80% of the databases that were quote, product provisioned on Neon were created by automatically by AI agents rather than humans. So 5, 4 out of 5 databases that were spun up over on Neon were actually done by AI agents or AI running. So this is essentially I think why they were so excited and why they decided to go in and buy this. And here's the quote that they specifically said. This is Ali Godsky, the co founder and CEO of Databrakes. They said, quote, the era of AI native agent driven applications is reshaping what a database must do. Neon provides it proves it. 4 out of 5 of every databases on their platform are spun up by code, not humans. By bringing Neon into databricks, we're giving developers a serverless postgres that can keep up with agentic speed, pay as you go, economics and the openness of the postgres community. I think at the end of the day, what's cool is that this is kind of like an open source project or open source tool or has those capabilities. So it's got a ton of contribution people that have kind of contributed and helped build this. It's an alternative to an Amazon product, an AWS product, AWS Aurora Postgres. So this is I think a major competitor in the space. I'm really curious to see if databricks can continue just this really solid growth we've seen as they continue to acquire companies they've, you know, been able to take on a ton of debt and financing. And by buying companies that are obviously successful and doing quite well, Databricks seems to continue to grow its footprint. So I think the acquisition play is a great one for databricks. You can see a clear path to success here. So I'm really excited and looking forward to see what they do again. Make sure if you haven't tried it already, go check out AI Box, my startup at AI Box AI you can get access to all the top models and for $20 a month you don't have to pay subscriptions to Anthropic, Claude Xai, Meta, Google and everything else. You just get it all on one platform. AI Box AI. Thanks so much for tuning in today, and I will catch you next time.