97% of enterprises report delays in AI initiatives due to data pipeline issues. The bottleneck isn’t the model, it’s the data. Fivetran CMO Monica Ohara breaks down why pipeline reliability determines whether teams can actually move AI into production. Read Monica’s full article below. https://5tran.co/4tvZ0VH
Fivetran
Software Development
Oakland, California 147,781 followers
Fivetran delivers the trusted data foundation enterprises need to scale analytics, operations, and AI with confidence.
About us
Fivetran, the global leader in data movement, helps customers use their data to power everything from AI applications and ML models, to predictive analytics and operational workloads. The Fivetran platform reliably and securely centralizes data from hundreds of SaaS applications and databases into any cloud destination – whether deployed on-premises, in the cloud or in a hybrid environment. Thousands of global brands, including Autodesk, Condé Nast, JetBlue and Morgan Stanley, trust Fivetran to move their most valuable data assets to fuel analytics, drive operational efficiencies and power innovation.
- Website
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https://5tran.co/3lbOdzE
External link for Fivetran
- Industry
- Software Development
- Company size
- 1,001-5,000 employees
- Headquarters
- Oakland, California
- Type
- Privately Held
- Founded
- 2012
- Specialties
- Data Integration, ETL, ELT, Data Movement, Data Pipelines, and Database Replication
Products
Fivetran
ETL Tools
Fivetran is an automated, fully-managed data movement platform that centralizes data from over 700 SaaS applications, databases, files, and other sources into cloud destinations, including data lakes. As the premier provider of ELT pipelines, Fivetran offers high performance, reliability, schema drift handling, SQL-based transformations, and enterprise-grade security, all with minimal engineering effort.
Locations
Employees at Fivetran
Updates
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"The tech will keep evolving — but the winners will be the ones who can trust AI to make decisions before the market does." – Steve Jones, EVP of GenAI at Capgemini In this episode of the Fivetran Data Podcast, we dive into what it really takes to make generative AI a reality, from infrastructure and governance to simulation and forecasting. 🎧 Listen in: https://5tran.co/3E0xuLd
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Activision, one of the largest third-party video game publishers in the world, modernized its marketing data platform with Fivetran to power real-time personalization for millions of players across consoles, PC, and mobile. Here’s what they achieved: ⚡ 400% faster audience creation — reducing SLAs from 1 week to 1 day 🎯 Unified, omnichannel audiences across Braze, Snapchat, and paid media for consistent, personalized engagement 🛠️ 500 hours saved annually by eliminating CDP troubleshooting through no-code, reliable data activation See how Activision built its data foundation to support faster launches and more effective marketing: https://5tran.co/3MljD6m
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Managing data lakes for GenAI? Start here. Our latest ebook breaks down how to build a future-ready data foundation that fuels generative AI — without the overhead. 📘 Inside you’ll learn how to: 🔷 Streamline ingestion from 700+ sources 🔷 Standardize data in open table formats 🔷 Optimize for governance, scale, and AI readiness Read the guide: https://5tran.co/4sHsI9G
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Canva, one of the world’s fastest-growing visual communication platforms, uses Fivetran to unify data across 60+ marketing, sales, and engagement tools — enabling personalization at scale for more than 260 million users worldwide. Key results: 🔍 360-degree customer visibility across marketing, sales, and product touchpoints ⚡ Weeks of manual work reduced to minutes, enabling self-serve access 🔒 Stronger governance and trusted data across systems See how Canva built a scalable data foundation with Fivetran and dbt to turn insights into action: https://5tran.co/4s3Ejz3
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Scaling an online grocery business is no small feat — but Oda did it 5x faster with Fivetran. Key results: 📉 Cut data integration time by 96% ⏳ Freed up time and resources with automated data workflows ⚡ Accelerated insights and innovation through improved operations See how Oda built a smarter, faster grocery business. Read the case study: https://5tran.co/4i2zm4V
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Healthcare AI initiatives don’t fail at the model layer. They fail when data remains fragmented across EHRs, imaging systems, and operational platforms. Join Fivetran, Databricks, and Slalom for a joint webinar on building a scalable, governed healthcare data foundation that supports AI workloads, improves interoperability, and accelerates time to insight. If you’re working with clinical or operational healthcare data, this session will focus on practical architecture patterns. Register here: https://5tran.co/3Q3A8G4
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The new Fivetran total cost of ownership calculator helps data teams estimate engineering effort, maintenance, and downtime in one place — making it easier to compare DIY pipelines with a fully managed platform like Fivetran. Read the blog: https://5tran.co/4aqxkLf
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"Most problems associated with AI will always start with a data problem." In this episode of the Fivetran Data Podcast, host Kelly Kohlleffel speaks with Ajay Bidani, Data and Insights Manager at Powell, about why AI initiatives in manufacturing often fail due to incomplete or poorly understood data foundations. Listen to the episode: https://5tran.co/40UXAYz
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Most organisations are stuck in AI pilot mode. Legacy systems, siloed data, and unclear ROI are holding back real impact. Join Fivetran and Infinite Lambda's hands-on workshop to move from experimentation to scalable AI: ✔️ Build a strong enterprise AI foundation ✔️ Learn from real-world success stories ✔️ Identify high-impact use cases with clear ROI Limited spots available — secure yours: https://5tran.co/4rRZT9z
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