Startups

New startup from Postgres creator puts the database at heart of software stack

Comment

Cloud at the center of a bunch of connected databases on blue background.
Image Credits: traffic_analyzer / Getty Images

MIT professor Mike Stonebraker has been at the forefront of database technology for more than 50 years. The former Turing Award winner invented the Ingres and Postgres databases and helped launch a number of companies, including Streambase Systems (acquired by Tibco in 2013), VoltDB, Tamr and SciDB. Now 80, he knows a thing or two about database technology and launching companies.

His latest project, DBOS, puts the database at the center of the software stack, reducing the operating system to a small kernel of low-level functions. He believes that in the modern data-centric world, Linux hasn’t kept up with the scale and speed required to process copious amounts of data in the cloud, so as he’s done throughout his illustrious career, he did the research and developed updated technology for modern data requirements, and of course, also launched a company.

Today, DBOS officially launched with an $8.5 million seed investment.

Stonebraker, who is co-founder and CTO at the company, says the startup is the culmination of a three-year joint research project between Stanford and MIT (just a little bit of brain power there). “The genesis of the project was OLTP (online transaction processing), database systems have gotten a lot faster in the last 15 years. And so the thesis was that they would be competitive as a new operating system stack,” he told TechCrunch.

He became interested in trying to put a database system at the bottom of the technology stack as close to bare metal as possible where the operating system usually sits. Bare metal is a term used to describe the pure hardware layer where no software exists. Flipping the OS and the database is a bold and revolutionary idea.

He says the company vision really came together after he saw a talk by Databricks CTO Matei Zaharia, who would become a DBOS co-founder and advisor. Zaharia realized at Databricks that as the amount of data scaled to previously unseen heights, it required a new way of thinking about the software stack. “One thing we had discovered is, as we kept building services to support the database cloud at Databricks, and scale to millions of workloads running at the same time, was that actually it was much easier to make things very database-centric,” Zaharia explained.

That reinforced the idea that had been forming in Stonebraker’s mind, and he began looking at how to take tasks that had been traditionally run in the OS with the C++ programming language, and run them in the database instead, using SQL queries. While operating systems folks were understandably threatened by this notion, so far he has been able to build file, scheduling and messaging systems in DBOS by running SQL queries. What’s more, he’s tested it at a major bank and a consumer food company. These are operations that are traditionally handled at the operating system level.

“We proved it’s performance competitive with whatever you’re currently doing. So that gave us the courage to keep going,” Stonebraker said. One of the cool things about this approach is the ability to take advantage of database logging capabilities to keep a record of all the operating system events for as long as you like.

“So if a ransomware attack began 12 minutes ago, you just back up everything 13 minutes, a single step around the problem, and you’re back up and running almost instantaneously.” The experimental project became the company DBOS last year. The current product set includes three main pieces: an open source SDK where developers generate and test code locally, before deploying to an auto-scaling serverless cloud. The time travel debugger — the ability to move the OS back and forth in time — also runs in the cloud service.

Stonebraker acknowledges that companies aren’t going to completely change the way they run applications, so the startup is targeting more green field opportunities where companies being built today could take advantage of this new approach to organizing software. More established companies could look at moving specific pieces or newer projects to DBOS, he said.

While Stonebraker and Zaharia have substantial day jobs, making it more challenging to run a company, it’s certainly something that Stonebraker in particular has deep experience managing. He has hired a CEO to run the daily operations, and the company currently has a team of eight engineers building the products.

The $8.5 million seed investment was was led by Engine Ventures with participation from Construct Capital, Sinewave and Gutbrain Ventures.

More TechCrunch

Intuitive Machines made history when it became the first private company to land a spacecraft on the moon, so it makes sense to adapt that tech for Mars.

Intuitive Machines wants to help NASA return samples from Mars

As Google revamps itself for the AI era, offering AI overviews within its search results, the company is introducing a new way to filter for just text-based links. With the…

Google adds ‘Web’ search filter for showing old-school text links as AI rolls out

Ilya Sutskever, OpenAI’s longtime chief scientist and one of its co-founders, has left the company. OpenAI CEO Sam Altman announced the news in a post on X Tuesday evening. pic.twitter.com/qyPMIcvcsY…

Ilya Sutskever, OpenAI co-founder and longtime chief scientist, departs

Blue Origin’s New Shepard rocket will take a crew to suborbital space for the first time in nearly two years later this month, the company announced on Tuesday.  The NS-25…

Blue Origin to resume crewed New Shepard launches on May 19

This will enable developers to use the on-device model to power their own AI features.

Google is building its Gemini Nano AI model into Chrome on the desktop

It ran 110 minutes, but Google managed to reference AI a whopping 121 times during Google I/O 2024 (by its own count). CEO Sundar Pichai referenced the figure to wrap…

Google mentioned ‘AI’ 120+ times during its I/O keynote

Firebase Genkit is an open source framework that enables developers to quickly build AI into new and existing applications.

Google launches Firebase Genkit, a new open source framework for building AI-powered apps

In the coming months, Google says it will open up the Gemini Nano model to more developers.

Patreon and Grammarly are already experimenting with Gemini Nano, says Google

As part of the update, Reddit also launched a dedicated AMA tab within the web post composer.

Reddit introduces new tools for ‘Ask Me Anything,’ its Q&A feature

Here are quick hits of the biggest news from the keynote as they are announced.

Google I/O 2024: Here’s everything Google just announced

LearnLM is already powering features across Google products, including in YouTube, Google’s Gemini apps, Google Search and Google Classroom.

LearnLM is Google’s new family of AI models for education

The official launch comes almost a year after YouTube began experimenting with AI-generated quizzes on its mobile app. 

Google is bringing AI-generated quizzes to academic videos on YouTube

Around 550 employees across autonomous vehicle company Motional have been laid off, according to information taken from WARN notice filings and sources at the company.  Earlier this week, TechCrunch reported…

Motional cut about 550 employees, around 40%, in recent restructuring, sources say

The keynote kicks off at 10 a.m. PT on Tuesday and will offer glimpses into the latest versions of Android, Wear OS and Android TV.

Google I/O 2024: Watch all of the AI, Android reveals

Google Play has a new discovery feature for apps, new ways to acquire users, updates to Play Points, and other enhancements to developer-facing tools.

Google Play preps a new full-screen app discovery feature and adds more developer tools

Soon, Android users will be able to drag and drop AI-generated images directly into their Gmail, Google Messages and other apps.

Gemini on Android becomes more capable and works with Gmail, Messages, YouTube and more

Veo can capture different visual and cinematic styles, including shots of landscapes and timelapses, and make edits and adjustments to already-generated footage.

Google Veo, a serious swing at AI-generated video, debuts at Google I/O 2024

In addition to the body of the emails themselves, the feature will also be able to analyze attachments, like PDFs.

Gemini comes to Gmail to summarize, draft emails, and more

The summaries are created based on Gemini’s analysis of insights from Google Maps’ community of more than 300 million contributors.

Google is bringing Gemini capabilities to Google Maps Platform

Google says that over 100,000 developers already tried the service.

Project IDX, Google’s next-gen IDE, is now in open beta

The system effectively listens for “conversation patterns commonly associated with scams” in-real time. 

Google will use Gemini to detect scams during calls

The standard Gemma models were only available in 2 billion and 7 billion parameter versions, making this quite a step up.

Google announces Gemma 2, a 27B-parameter version of its open model, launching in June

This is a great example of a company using generative AI to open its software to more users.

Google TalkBack will use Gemini to describe images for blind people

Google’s Circle to Search feature will now be able to solve more complex problems across psychics and math word problems. 

Circle to Search is now a better homework helper

People can now search using a video they upload combined with a text query to get an AI overview of the answers they need.

Google experiments with using video to search, thanks to Gemini AI

A search results page based on generative AI as its ranking mechanism will have wide-reaching consequences for online publishers.

Google will soon start using GenAI to organize some search results pages

Google has built a custom Gemini model for search to combine real-time information, Google’s ranking, long context and multimodal features.

Google is adding more AI to its search results

At its Google I/O developer conference, Google on Tuesday announced the next generation of its Tensor Processing Units (TPU) AI chips.

Google’s next-gen TPUs promise a 4.7x performance boost

Google is upgrading Gemini, its AI-powered chatbot, with features aimed at making the experience more ambient and contextually useful.

Google’s Gemini updates: How Project Astra is powering some of I/O’s big reveals

Veo can generate few-seconds-long 1080p video clips given a text prompt.

Google’s image-generating AI gets an upgrade