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About us
Founded in 2020, Airbyte is the open-source standard for EL(T). We enable data teams to replicate data from applications, APIs, and databases to data warehouses, lakes, and other destinations. We believe only an open-source approach can solve the problem of data integration, as it enables us to cover the long tail of integrations while enabling teams to adapt pre-built connectors to their needs. We've raised $181M from some of the world's top investors (Benchmark, Accel, Altimeter, Coatue, Y Combinator, etc.) and believe in product-led growth, where we build something awesome. We’re continuing to grow with over 25,000 companies syncing data with Airbyte’s 600+ connectors.
- Website
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https://airbyte.com
External link for Airbyte
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- San Francisco
- Type
- Privately Held
- Founded
- 2020
- Specialties
- data engineering, data integration, ETL, ELT, and open source
Products
Locations
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Primary
Get directions
San Francisco, US
Employees at Airbyte
Updates
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Building with Airbyte? You're not alone 🤝 Our Slack community is where 25,000+ data engineers connect, troubleshoot, and share insights. Whether you're just getting started or running complex pipelines at scale, there's always someone ready to help. 👉 https://bit.ly/4nQTQAZ Jump in to get answers from Airbyte team members and experienced community contributors, share solutions and learn from real-world implementations, and connect with other data engineers tackling similar challenges. You'll stay in the loop on new connectors, features, and best practices too.
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So, you want to convert the data in your customer support environment into an S3 storage bucket that prepares it for ingestion by an LLM. Airbyte is equipped to handle this situation for you! 👍 It moves your structured data and unstructured data in the same connection, along with structured metadata to describe your unstructured data. Get the rundown: https://bit.ly/46wUSwr
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Airbyte reposted this
Executives say AI is a priority. Middle managers are the ones who have to make it work. At Airbyte, we see this constantly. Companies announce big AI initiatives with big target metrics. Then everyone is surprised when they don’t hit X% ROI. Executives don’t deal with the integration headaches, data silos, or the "this creates more work right now" reality. The way we talk about AI has to be more practical. It starts with solving simple, everyday problems, and then scaling from there. The immediate gains from AI are in productivity and time saved on repetitive tasks. And the more you use AI for these tasks, the more your knowledge compounds, resulting in greater efficiency across your business. The more you push yourself to use AI, the more you are able to achieve with it!!!
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Every AI breakthrough announcement points to the same thing: we're at an inflection point. But here's what gets missed: these advances only matter if your data infrastructure can keep up. AI agents need to retrieve data, modify systems, and take real-world actions. That requires robust orchestration, proper sequencing, caching, and security. The bottleneck isn't compute anymore. It's the infrastructure layer that makes AI agents production-ready, not just demo-ready. https://bit.ly/4pgZnBu
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Airbyte reposted this
The future of data infrastructure isn't about moving datasets. It's about moving understanding 🤔 I just launched Agent Blueprint, my new Substack on agentic data infrastructure, and my first post is focused on a new problem we are facing every day in the world of data. Here's the thing: agents don't need data pipelines built for dashboards. They need context for reasoning and action. What's different about this approach to data infrastructure? Context replaces static data (assembled in real time, relevant to the moment). Data must be fetched AND centralized. And writes matter as much as reads. That’s because agents act, not just observe. In this piece, I define a new role that is developing, the context engineer. Context engineers are the ones ensuring agents make the right decisions and don’t operate on hallucinations. The shift to agentic data infrastructure is happening. I'm mapping it!!! Read the full post on Substack: https://lnkd.in/e96wP6kP
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Airbyte reposted this
"Always. Always. I always knew I'd become a founder." — Michel Tricot This week on The Room Podcast, we're LIVE from Inside Summit with Michel Tricot, Co-Founder & CEO of Airbyte, the open-source platform transforming how companies move data. 600+ connectors. Thousands of companies. One nonlinear journey. Lessons on: - Scaling open source - Surviving the unexpected - Building AI infrastructure - Fundraising as a first-time founder Link in comments 👇 #Podcast #Founders #OpenSource #Airbyte
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Airbyte reposted this
A couple months ago, Madison McIlwain and I opened our 2nd annual Inside Summit 2025 by sitting down with Airbyte CEO and Founder Michel Tricot. The room was packed, the energy was high, and Michel wasted no time getting real about what it actually takes to build a data infra rocketship. Today, we’re bringing that conversation to everyone who wasn’t in the room with us in San Francisco in our special The Room Podcast mini season: Inside, Inside Summit. Fun fact: Airbyte was one of the very first integrations we built at Prive (Now Recurly Commerce), so this episode felt like a full-circle moment. Listen to the full conversation here: https://lnkd.in/gXP5sehh A huge thanks to our partners Mercury and Perkins Coie for making the day happen and supporting us as we open the door to these conversations.
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If you're dealing with a data source that doesn't have an off-the-shelf connector, you've got a few options: 1️⃣ Wait for your engineering team to build it (weeks/months) 2️⃣ Pay a vendor to custom-build it ($$$$) 3️⃣ Build it yourself in under 10 minutes We built Airbyte's Connector Builder because option 3 should actually be viable for data teams. Learn more bout how it works: https://bit.ly/48cuLKg
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Airbyte reposted this
From whiteboard to $1.5B: Inside Airbyte's ideation Airbyte is now a $1.5B company, but when Michel Tricot left his job in 2019, he didn’t have an idea yet -- he just knew he wanted to start a company. So Michel and Jean (John) Lafleur cycled through a ton of ideas, including: - Remote-controlling self-driving cars - Fintech for gig workers - A healthcare data-sharing platform - A marketing analytics product that actually had paying customers… until COVID hit and exposed it as a “nice to have” From there, they tightened their process. Every Monday, the team would throw ideas onto a whiteboard and stack-rank them on a few axes: - Founder–market fit: do we have an unfair advantage here? - Team excitement: is someone on the team passionate about this? - Problem severity: does this sound like a hair-on-fire problem in interviews, or just a “nice feature”? Most ideas died in that process. But Airbyte emerged. Michel graciously walked me through that journey on the "Before It Clicked" podcast (available on all platforms). Full interview linked in comments.