Fivetran

The cost of your data stack isn't just the cloud bill. It's the duplicate pipelines, the break/fix work, and the vendor lock-in tax. Read why Open Data Infrastructure cuts all 3 in our latest blog: 5tran.co/4eZMTMk

Canva uses Fivetran to unify data across 60+ marketing, sales, and engagement tools — enabling personalization at scale for more than 260 million users worldwide. See how @canva built a scalable data foundation with Fivetran to turn insights into action: 5tran.co/4s3Ejz3

What does it take to actually run AI agents on your data? In this upcoming webinar, we’ll walk through how Fivetran, Dataplex, and Vertex AI on @googlecloud work together to power agent-driven analytics on governed, production-ready data. Register now: 5tran.co/42zgncr

Agentic AI is already delivering real value, but only for teams that move fast and build on trusted data. This blog breaks down how to go from experimentation to production by starting with a focused use case. Learn more: 5tran.co/3ZLVwkU

German-based beverage startup air up® uses Fivetran to enable real-time data and more accurate sales forecasting. Read the full case study: 5tran.co/40Bo3uR

SAP just published a new API policy, and it restricts how AI agents can access SAP data. That raises a key question for data leaders: should your AI strategy follow your vendor’s roadmap, or your own? Read more: 5tran.co/4udukZn

4.7 pipeline breaks per month. 60+ hours of downtime. That’s what fragile, DIY pipelines look like at scale. Even with growing investment in AI and analytics, reliability gaps are still delaying production use cases and increasing operational overhead: 5tran.co/3O3sIlF

In this episode of Tesseract Talks, Anjan Kundavaram, Chief Product Officer at Fivetran, joins Marko Rukavina, Founder of Tesseract Analytics, to discuss why unified data movement, transformation, and activation are critical to scaling AI in production: 5tran.co/3MbUPyh

Data access is becoming a flashpoint in the AI era. This piece from The Register highlights Fivetran’s new data access benchmark and the growing debate around how vendor restrictions impact what teams can actually build. 5tran.co/4eCMNtW

In this conversation with Jordan Tigani, CEO of @motherduck, he shares how their team built a seamless destination connector — enabling users to move normalized data from any Fivetran source into MotherDuck with zero custom code. Catch the convo here: 5tran.co/3IOgR8f

Data teams are spending too much time cleaning data and not enough time finding a signal. This Forbes piece cites Fivetran’s Enterprise Data Infrastructure Benchmark Report, where we found 53% of engineering time goes to maintenance instead of innovation. 5tran.co/497ro8u

AI readiness starts with your data foundation. In this upcoming webinar with QuickLaunch Analytics, we’ll break down how to build reliable, scalable pipelines that support real-world AI use cases without adding engineering overhead. Register now: 5tran.co/4e44T84

Analytics, automation, and AI all run on data. This guide breaks down how automated data integration sits at the center of everything from dashboards to autonomous agents. Learn more: 5tran.co/466kZIF

Who really controls your data? In this conversation with Joe Reis, Fivetran CEO George Fraser breaks down why Open Data Infrastructure is emerging, what vendor lock-in looks like in the AI era, and why true data ownership matters. Watch the full convo 5tran.co/42ptwEZ

We're here at #GoogleCloudNEXT    where @mjburnsy is chatting with @anjank04 of @fivetran about the new paradigm of AI, what a modern stack should look like, and what it means for your data architecture.

We’re live at #GoogleCloudNext! Stop by booth #6302 to connect with the Fivetran team and see how we’re helping organizations scale data for AI. And tonight, join us with 66degrees, dbt Labs, Atlan, and Pendo for the Google Cloud Next Afterparty: 5tran.co/4tZTuL6

The biggest blocker to scaling AI isn’t models. It’s data access. APIs, limits, and costs define what you can build. See how your vendors stack up with the Open Data Infrastructure Data Access Scorecard: 5tran.co/4vP1q3G

18T+ monthly rows into BigQuery. Up 30% YoY. That’s the scale AI demands in production. 4,400+ orgs rely on Fivetran + @googlecloud for automated, governed data. At #GoogleCloudNext? Visit us at booth #6302: 5tran.co/4vJaTZY

Tines is scaling fast, and Fivetran is helping power that growth. They turned to Fivetran to build a modern data stack from day 1 — and haven’t looked back. Read the full story: 5tran.co/40mBE8M

We’re live at Adobe Summit! We’re onsite connecting with teams across marketing, data, and AI, and seeing how data access and integration are shaping the next wave of customer experience. If you’re there, come find us at booth #352 #AdobeSummit