Skip to main content

Xata is a database service for serverless apps

Meet Xata, a startup with a new take on managed databases. The company runs your database for you and turns it into an API so that you can query and update it from your serverless app. Xata has raised a $5 million funding round. Its product is not yet ready for prime time but the company is sharing details.

Xata seems particularly well suited for Jamstack websites. Jamstack has been a popular way of developing and deploying websites at scale. Popular Jamstack hosting platforms include Netlify, Vercel and Cloudflare Pages.

Applications are deployed on a global edge network and most of the logic is handled by API calls. The result is a website or an application that loads quickly and can handle a lot of traffic.

Deploying a Jamstack website is quite easy as it often integrates tightly with your Git repository. When you commit code changes, serverless platforms take care of deploying your application. Integrating with API-based developer tools is relatively effortless as well as you don’t manage the logic yourself.

For instance, deploying a website with static content and a Stripe checkout module doesn’t require a ton of effort — Stripe manages the payment servers for you. It gets a bit more complicated if you want to use a live database and interact with it. Traditional database software doesn’t rely on API calls across the internet to add a row, search through multiple rows and find data.

Xata is focusing on databases and want to make it easier to integrate a database with your serverless app. You don’t have to take care of the underlying infrastructure as Xata can scale the database for you. You don’t have to update software, move data to a new server, etc.

Your database is distributed across multiple data centers to improve response times and redundancy. It supports many data types including images. After that, interacting with the database works like any RESTful API out there.

The startup is also drawing some inspiration from popular no-code startups, such as Airtable. You can open your database in a web browser and interact with your data directly from there. For instance, you can filter the current view, sort data using a specific criteria and get the API query that you can use in your code.

If you store a lot of data in your database, you can search through your data using a free-text search feature. You can also leverage Xata for analytics by creating charts and visualizations.

The ability to interact with your data from a web browser is Xata’s competitive advantage. Many companies rely on Airtable as their first backend to prototype a new project. Xata could become a production-ready version of this Airtable-as-a-backend data management model.

The $5 million round was led by Index Ventures. Operator Collective, SV Angel, X-Factor and firstminute capital also participated. Some business angels, such as Shay Banon and Uri Boness from Elastic, Neha Narkhede from Confluent, Guillermo Rauch from Vercel, Elad Gil from Color Genomics and Christian Bach and Mathias Biilmann from Netlify also invested.

The startup was founded by Monica Sarbu, who used to be the Director of Engineering at Elastic. So she probably knows a thing or two about scaling databases.

Image Credits: Xata



from TechCrunch https://ift.tt/3kkDiTI
via IFTTT

Comments

Popular posts from this blog

The Silent Revolution of On-Device AI: Why the Cloud Is No Longer King

Introduction For years, artificial intelligence has meant one thing: the cloud. Whether you’re asking ChatGPT a question, editing a photo with AI tools, or getting recommendations on Netflix — those decisions happen on distant servers, not your device. But that’s changing. Thanks to major advances in silicon, model compression, and memory architecture, AI is quietly migrating from giant data centres to the palm of your hand. Your phone, your laptop, your smartwatch — all are becoming AI engines in their own right. It’s a shift that redefines not just how AI works, but who controls it, how private it is, and what it can do for you. This article explores the rise of on-device AI — how it works, why it matters, and why the cloud’s days as the centre of the AI universe might be numbered. What Is On-Device AI? On-device AI refers to machine learning models that run locally on your smartphone, tablet, laptop, or edge device — without needing constant access to the cloud. In practi...

Apple’s AI Push: Everything We Know About Apple Intelligence So Far

Apple’s WWDC 2025 confirmed what many suspected: Apple is finally making a serious leap into artificial intelligence. Dubbed “Apple Intelligence,” the suite of AI-powered tools, enhancements, and integrations marks the company’s biggest software evolution in a decade. But unlike competitors racing to plug AI into everything, Apple is taking a slower, more deliberate approach — one rooted in privacy, on-device processing, and ecosystem synergy. If you’re wondering what Apple Intelligence actually is, how it works, and what it means for your iPhone, iPad, or Mac, you’re in the right place. This article breaks it all down.   What Is Apple Intelligence? Let’s get the terminology clear first. Apple Intelligence isn’t a product — it’s a platform. It’s not just a chatbot. It’s a system-wide integration of generative AI, machine learning, and personal context awareness, embedded across Apple’s OS platforms. Think of it as a foundational AI layer stitched into iOS 18, iPadOS 18, and m...

Billionaire clothing dynasty heiress launches Everybody & Everyone to make fashion sustainable

Veronica Chou’s family has made its fortune at the forefront of the fast fashion business through investments in companies like Michael Kors and Tommy Hilfiger . But now, the heiress to an estimated $2.1 billion fortune is launching her own company, Everybody & Everyone , to prove that the fashion industry can be both environmentally sustainable and profitable. There’s no argument about the negative impacts of the fashion industry on the environment. The textiles industry primarily uses non-renewable resources — on the order of 98 million tons per year. That includes the oil to make synthetic fibers, fertilizers to grow cotton, and toxic chemicals to dye, treat, and produce the textiles used to make clothes. The greenhouse gas footprint from textiles production was roughly 1.2 billion tons of CO2 equivalent in 2015 — more than all international flights and maritime shipments combined (and a lot of those maritime shipments and international flights were hauling clothes). The lit...