Fivetran

Oakland, CA, USA
2012
  |  By Meera Sharma
Learn how the Fivetran Analytics team uses natural language processing for rationalizing and addressing customer error messages.
  |  By Samir Patel
Learn why SAP data is the critical ingredient for manufacturing organizations to move from reactive to predictive analytics.
  |  By Pranav Singhvi
This guest blog highlights how our strategic partnership with General Catalyst has fueled Fivetran's growth, showcasing our journey towards scaling innovation and efficiency.
  |  By Chris Lamonica
HubSpot, Snowflake and Fivetran marketing executives discuss how a modern data stack enables enterprises to meet customer expectations and drive results.
  |  By Tom Conklin
IT security professionals need to recognize the critical importance of securing data pipelines in a data-driven corporate environment.
  |  By Charles Wang
We count on our database replication connectors for product analytics, and you should, too.
  |  By Ciara Rafferty
Keep track of new connectors and product releases.
  |  By Kelly Kohlleffel
Accelerate building data apps in Snowflake and Streamit with Fivetran.
  |  By Garrett Kelly
The breadth of SAP data enables enterprises to gain a complete picture of their operations and transactions but only when it is unlocked.
  |  By Kelly Kohlleffel
Leading cybersecurity enterprise demonstrates how technical and organizational reforms can democratize data after a merger.
  |  By Fivetran
Join Kelly Kohlleffel from Fivetran as he demonstrates the seamless integration of SAP ERP data into the Databricks Data Intelligence Platform using Fivetran’s powerful data movement automation capabilities. Learn how the Fivetran SAP ERP for HANA connector effortlessly syncs your data to Databricks, making it ready for all data workloads. Discover how Fivetran utilizes Databricks’ features like Serverless and Unity Catalog to help you quickly build new data products and solutions with SAP ERP data efficiently in Databricks.
  |  By Fivetran
Join Kelly Kohlleffel from Fivetran in this demonstration that moves and transforms raw Salesforce data into impactful sales metrics in the Databricks Data Intelligence Platform. Learn how to set up a Salesforce to Databricks connector with Fivetran’s fully automated and fully managed data movement platform. Then watch how the new dataset in Databricks is automatically transformed from the Databricks bronze layer to the gold layer—making it analytics-ready and data product-ready in minutes.
  |  By Fivetran
Snowflake and Fivetran CMOs are joined by HubSpot's VP of Platform Ecosystems to discuss the evolution of Customer 360 and the emergence of hyper-personalization in marketing.
  |  By Fivetran
Snowflake and Fivetran CMOs are joined by HubSpot's VP of Platform Ecosystems to discuss the evolution of Customer 360 and the emergence of hyper-personalization in marketing.
  |  By Fivetran
In this episode of the Fivetran Data Podcast, Frank Carotenuto, Senior Director of Enterprise Data Platforms at Trellix, shares his experience leading the organization’s migration to a single data platform from multiple, siloed data marts. His efforts resulted in a new team structure, modern data architecture and a cross-functional center of excellence.
  |  By Fivetran
George Fraser, CEO and co-founder of Fivetran, and Ali Ghodsi, CEO and co-founder of Databricks, are building products that power the modern data stack. They offer an insider’s perspective on the hardest parts of building and deploying generative AI in the enterprise.
  |  By Fivetran
The key to breaking down data silos and fostering innovation goes well beyond having the right technology. It’s the people and processes that truly drive change. Ajay Bidani, Data and Insights Manager at Powell Industries, shares his perspective on how a strong, inclusive data culture is fueling the manufacturer’s global success.
  |  By Fivetran
George Fraser, CEO and co-founder of Fivetran, and Ali Ghodsi, CEO and co-founder of Databricks, are building products that power the modern data stack. They offer an insider’s perspective on the hardest parts of building and deploying generative AI in the enterprise.
  |  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
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.

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.