Fivetran named a Challenger in 2024 Gartner Magic Quadrant
For the fifth consecutive year, Fivetran has been recognized in the Gartner Magic Quadrant for Data Integration Tools.
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The path to better patient care: Securing and scaling healthcare data
Discover how organizations can create better patient outcomes by using data to drive progress as we dive into the insights from our recent joint webinar with Slalom.
Fivetran brings automated data integration to Amazon SageMaker Lakehouse
How automated data integration, open table formats and governance make Fivetran the premier choice for moving data into Amazon SageMaker Lakehouse.
Fivetran Connector SDK: Custom data pipelines made easy
Securely and reliably build custom connectors for any data source to ensure no data source is left siloed or underutilized.
Why enterprises choose Fivetran for Microsoft Azure data integration
For organizations looking to accelerate their Azure adoption while maintaining control, security and reliability, Fivetran provides a best-in-class solution that consistently outperforms ADF.
Fivetran Product Update: December 2024
Keep track of new connectors and product releases.
FivetranChat: A homebrewed generative AI story
An inside look into how we use our own platform to bring generative AI from concept to execution.
Unlock 5x productivity: How global enterprises scale with Fivetran
From AI to real-time insights, learn how Saks, Paylocity and Dropbox are using Fivetran to unlock efficiency and scale their data operations.
From silos to insights: Fivetran's vision for enterprise data
Learn how Fivetran’s Hybrid Deployment helps enterprises conquer data silos, achieve security and build a strategy for future growth.
Special episode: Hybrid Deployment, AI & data: Fivetran's vision for the future of innovation
Fivetran’s Chief Operating Officer Taylor Brown and Chief Product Officer Anjan Kundavaram share their insights on the rapidly changing data landscape and the role of Fivetran’s Hybrid Deployment in addressing today’s security and scalability challenges. They also explore key trends in data management and share predictions for AI and data strategy in 2025.