Skip to main content

Confluent adds free tier to Kafka real-time streaming data cloud service

When Confluent launched a cloud service in 2017, it was trying to reduce some of the complexity related to running a Kafka streaming data application. Today, it introduced a free tier to that cloud service. The company hopes to expand its market beyond large technology company customers, and the free tier should make it easier for smaller companies to get started.

The new tier provides up to $50 of service a month for up to three months. Company CEO Jay Kreps says that while $50 might not sound like much, it’s actually hundreds of gigabytes of throughput and makes it easy to get started with the tool.

“We felt like we can make this technology really accessible. We can make it as easy as we can. We want to make it something where you can just get going in seconds, and not have to pay anything to start building an application that uses real time streams of data,” Kreps said.

Kafka has been available as an open source product since 2011, so it’s been free to download, install and build applications, but still required a ton of compute and engineering resources to pull off. The cloud service was designed to simplify that, and the free tier lets developers get comfortable building a small application without making a large financial investment.

Once they get used to working with Kafka on the free version, users can then buy in whatever increments make sense for them, and only pay for what they use. It can be pennies worth of Kafka or hundreds of dollars depending on a customer’s individual requirements. “After free, you can buy 11 cents worth of Kafka or you can buy it $10 worth, all the way up to these massive users like Lyft that use Kafka Cloud at huge scale as part of their ride sharing service,” he said.

While a free SaaS trial might feel like a common kind of marketing approach, Kreps says for a service like Kafka, it’s actually much more difficult to pull off. “With something like a distributed system where you get a whole chunk of infrastructure, it’s actually technically an extraordinarily difficult thing to provide zero to elastic scale up capabilities. And a huge amount of engineering goes into making that possible,” Kreps explained.

Kafka processes massive streams of data in real time. It was originally developed inside LinkedIn and open sourced in 2011. Confluent launched as a commercial entity on top of the open source project in 2014. In January the company raised $125 million on a $2.5 billion valuation. It has raised over $205 million, according to Crunchbase data.

Open-source leader Confluent raises $125M on $2.5B valuation



from TechCrunch https://ift.tt/2mXEiT1
via IFTTT
Labels:

Comments

Post a Comment

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...
1 comment
Read more

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...
Post a Comment
Read more

Max Q: Anomalous

Hello and welcome back to Max Q! Last week wasn’t the most successful for spaceflight missions. We’ll get into that a bit more below. In this issue: First up, a botched launch from Virgin Orbit… …followed by one from ABL Space Systems News from Rocket Lab, World View and more Virgin Orbit’s botched launch highlights shaky financial future After Virgin Orbit’s launch failure last Monday, during which the mission experienced an  “anomaly” that prevented the rocket from reaching orbit, I went back over the company’s financials — and things aren’t looking good. For Virgin Orbit, this year has likely been completely turned on its head. The company was aiming for three launches this year, but everything will remain grounded until the cause of the anomaly has been identified and resolved. It’s unclear how long that will take, but likely at least three months. Add this delay to Virgin’s dwindling cash reserves and you have a foundation that’s suddenly much shakier than before. ...
Post a Comment
Read more