We’re honored to be named one of @FortuneMagazine's Best Places to Work in the Bay Area 2025 — coming in at #25!. Thank you to our incredible team for making Fivetran a truly great place to work:

AI is changing everything, but most enterprises aren’t ready for it. According to a new @TDWI report, just 7.6% of organizations have the data architecture needed to support AI at scale. Explore what’s holding AI back:

Thrilled to share that Fivetran CEO George Fraser has been named one of the Top 25 Data Management & Analytics Executives of 2025 by The Software Report — recognized for his leadership in building a trusted, AI-ready data infrastructure:

"We are driven by excellence, so we are applying the same kind of excellence to our work, and we expect the same kind of excellence from our partners.”. Explore how @LVMH built a scalable, real-time data foundation:

.@tines_hq is scaling fast, and Fivetran is helping power that growth. They turned to Fivetran to build a modern data stack from day one — and haven’t looked back. Read the full story:

Your data warehouse isn't just a destination. Reverse ETL lets you sync insights back into tools like Salesforce, Marketo, and Zendesk — so teams can act on data, not just analyze it. Here’s how it works, and why it matters:

At #SnowflakeSummit, Fivetran COO Taylor Brown sat down with #DataCloudNow to discuss how Fivetran and @Snowflake are working together to eliminate data engineering bottlenecks:

In this roundtable discussion, Fivetran CEO George Fraser shares his vision for making data lakes an invisible, default part of the modern stack, with zero ingest costs and zero data movement when switching destinations:

🤔 Do you know how much of your data budget is lost to hidden ingestion costs? . In under three minutes, we break down how Fivetran's Managed Data Lake Service can help. Learn more in our blog post:

🤔 Do you know how much of your data budget is lost to hidden ingestion costs? . In under three minutes, we break down how Fivetran's Managed Data Lake Service can help. Learn more in our blog post:

With the rise of AI, the stakes for a unified data infrastructure have never been higher. That’s why Fivetran acquired @census: to bring ingestion, transformation, and activation under one roof. More on why this matters in @TechCrunch.

In this roundtable discussion, Fivetran's Kelly Kohlleffell and AWS’ Director of Product Management Paul Meighan unpack how formats like Delta, Iceberg, and Hudi make data lakes performant, scalable, and AI-ready. 🎥 Watch now:

How did @okta save 1,000+ engineering hours? With Fivetran doing the heavy lifting. Engineers focused on innovation, not pipeline upkeep. Read the case study to learn how you can do the same:

As AI adoption accelerates, delivering insights to everyone is becoming mission-critical. Join us for a live episode of the Fivetran Data Podcast with Paul Bruffett, VP of Enterprise Data & Analytics at Out of the Box Brands:

This new blog highlights a new Forbes report featuring insights from C-suite leaders on what it takes to scale AI. One key takeaway: only 13% of execs say their data infrastructure is ready to support enterprise AI. See they key recommendations:

At this year’s @databricks #DataAISummit, Dropbox shared how they scaled self-service analytics and made marketing data work harder with Fivetran. By automating data movement from tools like Salesforce and Marketo, the team delivered faster insights:

AI is moving fast. Most data stacks aren’t. @TDWI surveyed 157 data leaders to understand how enterprises are preparing for AI and GenAI, and what gaps they need to close to scale. Download the full report:

Ingest costs often fly under the radar, but they can make up 20–30% of total data warehouse spend. In this roundtable discussion, Fivetran CEO George Fraser explains how Fivetran's data lake ingest service helps internalize those costs:

.@JetBlue is reaching new heights with data-driven insights. With Fivetran, they've streamlined data from 130+ systems, enabling rapid analysis and predictive maintenance, leading to better customer experiences and more efficient operations:

Data and AI shouldn't follow separate strategies. In this roundtable discussion, Fivetran COO Taylor Brown and CPO Anjan Kundavarum dig into why successful companies treat data and AI as a single, integrated initiative, not two siloed efforts: