Fivetran

Oakland, CA, USA
2012
  |  By Fivetran
MotherDuck’s co-founder and CEO Jordan Tigani sat down with Fivetran’s co-founder and CEO George Fraser to discuss the evolutions in data processing, data lakes and more.
  |  By Kelly Kohlleffel
How to make siloed SAP data accessible with automated data integration and a data intelligence platform.
  |  By Mark Van De Wiel
Fivetran HVR, an enterprise solution, enables companies to tap into the power of Google Cloud Cortex Framework and turn SAP data into faster insights.
  |  By Fivetran
Two of Europe’s leading enterprises reveal how the modern data stack is fueling their success.
  |  By Kelly Kohlleffel
Unlock real-time supply chain analytics with modern data infrastructure.
  |  By Ciara Rafferty
Keep track of new connectors and product releases.
  |  By Charles Wang
Accelerate data movement into the Snowflake Data Cloud to execute analytic workloads, AI and GenAI.
  |  By Charles Wang
Accelerate data movement into the Databricks Data Intelligence Platform to execute analytic workloads, AI and GenAI.
  |  By Charles Wang
A longtime top innovation partner to Databricks, we continue to demonstrate the power of better analytics through automation.
  |  By Raman Kaler
From announcing the release of Managed Data Lake Service and Native App development to customer sessions with BlackRock and Honeywell.
  |  By Fivetran
Imagine building your own personalized California wine country visit assistant based on a private, structured dataset and a RAG-based approach to Gen AI. This video walks you through the process step-by-step. First, you’ll learn how to use Fivetran’s automated data movement platform to replicate a custom, structured winery and vineyard visit dataset (wineries and vineyards across all California wine country regions) from a relational database source to the Snowflake Data Cloud.
  |  By Fivetran
Learn how Fivetran HVR can power your database replication from a variety of sources such as Oracle, SQL Server, and SAP to your database, data lake, or data warehouse target. In this demo video, watch the ease of setting up a pipeline between Oracle and Snowflake for secure, on-premises database replication.
  |  By Fivetran
Securely move all of your data from one platform with Fivetran's new Hybrid deployment option. Move security-restricted data with pipelines hosted in your own environment, controlled by Fivetran's easy-to-use control plane.
  |  By Fivetran

To learn more about the Fivetran Managed Data Lake Service visit:
https://www.fivetran.com/data-movement/data-lakes

  |  By Fivetran

To learn more about the Fivetran Managed Data Lake Service visit:
https://www.fivetran.com/data-movement/data-lakes

  |  By Fivetran
In this episode of Data Drip, Aarthi Sridharan, VP of Data Insights and Analytics at BODi, examines her experience leading a complex data migration project to achieve customer 360 in a rapidly evolving fitness industry. She reflects on the challenges of migrating from multiple on-premises data warehouses to a unified cloud-based system and highlights the most important lessons she learned about planning, adapting, and managing a major multi-year project.
  |  By Fivetran
Lakshmi Ramesh, Vice President of Data Services at Tinuiti, which services brands like Rite Aid, Nestle, and Instacart, joins us to talk about her work at the intersection of tech, data and marketing. We discuss how the company manages data from hundreds of platforms to serve both clients and internal teams.
  |  By Fivetran
Erin Rebholz, former McKesson executive and President of Merilytic Health, discusses the role of cloud-based solutions, data governance and interoperability in improving clinical outcomes and patient care. Erin emphasizes the importance of effective data sharing and the potential impact of AI and machine learning on healthcare, offering insights into evolving data analytics practices that can empower healthcare providers.
  |  By Fivetran
Clinton McFall from Davey Resource Group explores the challenges of cloud migrations and the lessons learned along the way. McFall and his team tackle complex data challenges including client data isolation across large data lakes, managing asynchronous data collection from field technicians and safely leveraging GenAI to explore GIS data in new ways. Listen to learn about how the country’s 8th largest employee-owned company is using data to manage difficult environmental projects.

Fivetran fully automated connectors sync data from cloud applications, databases, event logs and more into your data warehouse. Our integrations are built for analysts who need data centralized but don’t want to spend time maintaining their own pipelines or ETL systems.

Focus on analytics, not engineering. Our prebuilt connectors deliver analysis-ready schemas and adapt to source changes automatically.

Keep your team focused on analysis:

  • Prebuilt connectors: Centralize your operational data in minutes with 150+ zero-configuration connectors.
  • Ready-to-query schemas: Use thoughtful, research-driven schemas and ERDs for all your sources.
  • Automated schema migrations: Save resources with connectors that automatically adapt to schema and API changes.
  • Fully managed data integration: Reduce technical debt with scalable connectors managed from source to destination.
  • SQL-based transformations: Model your business logic in any destination using SQL, the industry standard.
  • Incremental batch updates: Change data capture delivers incremental updates for all your sources.

Simple, reliable data integration for analytics teams.