Skip to main content

Fivetran hauls in $44M Series B as data pipeline business booms

Fivetran, a startup that helps companies move data from disparate repositories to data warehouses, announced $44 million Series B financing today, less than a year after collecting a $15 million Series A round.

Andreessen Horowitz (A16Z) led the round with participation from existing investors Matrix Partners and CEAS Investments. As part of the deal, Martin Casado from A16Z will join the Fivetran board. Today’s investment brings the total raised to over $59 million, according to Crunchbase.

Company co-founder and CEO George Fraser said they raised a little sooner than expected, but they needed a cash infusion to keep up with the steady growth they have been seeing. He said the company also wanted to get the funding done while the capital markets were still strong. “If we wait four months or six months, the terms are not going to be that much better — and, who knows, there could be a recession. You never know how long the sun shines, and we had interest from some really good firms that we liked, and that’s a big factor too obviously.” he said.

He added that it’s not purely an economic decision. “We’re really happy with where we landed with Martin [Casado] joining the board and Andreessen Horowitz on the cap table, but [the economic outlook] was definitely part of our calculus.”

And Casado is happy to have invested in Fivetran. Writing in a blog post today about the investment, he sees a company that’s solving a big problem in a modern context. “Fivetran is a SaaS service that connects to the critical data sources in an organization, pulls and processes all the data, and then dumps it into a warehouse (e.g., Snowflake, BigQuery or RedShift) for SQL access and further transformations, if needed. If data is the new oil, then Fivetran is the pipes that get it from the source to the refinery,” he wrote.

He said that the company already has over 750 customers and A16Z is included among them. It certainly doesn’t hurt when your lead investor uses your product.

The company was founded in 2012 and has been growing steadily. Last year it 80 employees at the time of its Series A and today it has 175. Fraser expects that to double again over the next year, and it’s all driven by business needs. He says that over the last 12 months revenue has grown 3x.

With 150 connectors today, the company wants to continue to expand its array of data connection tools and cover more data requirements. But he says the connectors are complicated and that will take an investment in more engineering talent. Today’s announcement should help in that regard.



from TechCrunch https://ift.tt/2mRtdCs
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...