Fivetran

Fivetran delivers the trusted data foundation enterprises need to scale analytics, operations, and AI with confidence.

[Fivetran @fivetran]

How does one of Australia’s largest banks accelerate GenAI initiatives and deliver standout customer experiences?

NAB is using Fivetran to modernize its data stack. See how NAB is building a future-ready foundation with Fivetran: https://t.co/2kHLJuJhEw

[Fivetran @fivetran]

If data lakes seem costly or complex, it’s time for a second look.

In this @gigaom report, Fivetran’s Managed Data Lake Service reduced integration costs by up to 95%.

💡 See how the numbers stack up: https://t.co/bKgYCubaBw

[Fivetran @fivetran]

Data access defines what you can actually build with AI.

APIs, rate limits, and egress fees don’t just add friction.

We built the Open Data Infrastructure Data Access Scorecard to make those constraints visible.

Take a look: https://t.co/W021zQeZcK

[Fivetran @fivetran]

The #dbtSummit agenda is live!

Join us for a closer look at what’s next for Open Data Infrastructure, AI-ready data foundations, and the technologies shaping the next era of analytics engineering.

Build your agenda and register today: https://t.co/3R8kxZZwVh

[Fivetran @fivetran]

The “open” in Open Data Infrastructure refers to interoperability.

By storing data once in an open format, you can adopt new compute engines, AI models, and tools without rebuilding your data foundation or locking yourself into a single vendor: https://t.co/V60GKnGedA

[Fivetran @fivetran]

Open Data Infrastructure isn't a product. It's an architectural approach.

We break down the key building blocks to an AI-ready data foundation, including open storage, open file formats, open table metadata, flexible compute, and governed semantics: https://t.co/2VpkA8WzPP

[Fivetran @fivetran]

Toll Brothers, a Fortune 500 luxury home builder, partnered with Fivetran and Hakkoda to replace manual data pulls with a reliable, centralized foundation for analytics.

Read the case study: https://t.co/XlVRqeVmWW

[Fivetran @fivetran]

Most AI agents are not limited by their foundation models. The challenge is usually context, data access, and defining the right workflow.

This post breaks down a practical framework for building your first AI agent and getting it into production: https://t.co/tOoJf9FVee

[Fivetran @fivetran]

In this #DataAISummit session, Jon McManus and Taylor Brown share how @InovaHealth compressed a 4-year data modernization roadmap into 6 months with Fivetran, @getdbt, and @databricks.

Watch the session https://t.co/yJ3bXRrjqW

[Fivetran @fivetran]

AI is only as reliable as the context it shares with the rest of your business.

An Open Data Infrastructure gives analytics, applications, and AI systems access to the same trusted data foundation.

Read more: https://t.co/QfZo3gARbd

[Fivetran @fivetran]

SKIMS isn’t just a fashion powerhouse — it’s a data powerhouse, too.

They achieved:
🔹 Automated report generation every 15 minutes, providing real-time analysis of business performance.
🔹 Better inventory management and product planning.

Learn more: https://t.co/r10LNBjIFU

[Fivetran @fivetran]

🎉 We're proud to share that Fivetran + @getdbt has been named to the 2026 #Inc5000, recognizing the fastest-growing private companies in America.

Thank you to our customers, partners, and employees for being part of the journey! 🚀

See the full list: https://t.co/QG0A9MwBOe

[Fivetran @fivetran]

🤖 AI is only as effective as the data foundation behind it.

Take our new ODI Assessment to evaluate your architecture and get personalized recommendations for improving openness, interoperability, governance, and AI readiness.

Take the quiz: https://t.co/4nzWWgtLCz

[Fivetran @fivetran]

In this on-demand webinar, @BraunAbility's Marty Goode shares how Fivetran Activations helped the team replace months of custom reverse ETL work with a faster, simpler path to operationalizing trusted data.

Watch the full session: https://t.co/8xllbzn7qd

[Fivetran @fivetran]

More than 40% of agentic AI projects are expected to be canceled by the end of 2027. Not because models aren't powerful enough, but because data foundations aren't ready.

Fivetran and @getdbt just published a primer for data leaders on building AI agents https://t.co/V4GLF6ZuWF

[Fivetran @fivetran]

Managing an open data lake just got more flexible.

With Managed Data Lake Service Write Credentials, you can now securely perform DDL and DML operations directly on Apache Iceberg™ tables — opening up a wider range of use cases and workloads.

Learn more https://t.co/9Yo4cxqx52

[Fivetran @fivetran]

Open doesn’t mean exposed.

We break down how Open Data Infrastructure can strengthen security by reducing data duplication, applying consistent access controls, and keeping lineage visible across analytics, operations, and AI workloads.

Learn more https://t.co/ukXImiL5Oq

[Fivetran @fivetran]

73% of organizations say their data initiatives fall short.

Even with $29.3M in annual data spend, underperforming pipelines continue to drain ROI through maintenance costs, ingest spend, and engineering time.

Read the report: https://t.co/qrFfhH8DBV

[Fivetran @fivetran]

First Hawaiian Bank, Hawaii’s oldest and largest financial institution, modernized its data and analytics foundation with Fivetran to deliver faster insights, self-service reporting, and a unified customer view.

Read more https://t.co/FSJ0KkN1mf

[Fivetran @fivetran]

Two engineers. Four months. One production-ready replacement for a $65K SaaS product.

Fivetran's engineering team used AI coding agents to design, build, and ship a new public status page serving 26,000 subscribers.

Get the behind-the-scenes breakdown: https://t.co/B8KQOWPKL6