Fivetran
https://fivetran.com/
Oakland, CA, USA
2012
fivetran
Why an Open Data Infrastructure means reliability and low cost
  |  By Natalie Waller
An open, unified data foundation is critical for reliably and cost-effectively supporting future data use cases, especially AI.
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Who really controls your data, and what rights do you have to it?
  |  By Nick Leone
How SaaS data access restrictions can infringe on the freedom to use your data as you need it.
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The business case for upgrading to a data lake
  |  By Charles Wang
The future depends on a unified data architecture that can support everything from analytics and reporting to AI agents.
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AI data integration: Benefits and tools
  |  By Shuchi Agrawal
Learn how AI is revolutionizing data integration. Explore key AI data processing benefits, techniques, and top AI data integration tools.
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Why Open Data Infrastructure matters for data access and control
  |  By Annie Sullivan
Agentic AI puts new pressure on data access, making architectural flexibility and control more important than ever.
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How data access shapes AI agent performance
  |  By Andrew Madson
If you want your agentic AI projects to succeed, you must build a solid foundation of quality data integration, context, and governance.
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Run local AI queries on your data lake with DuckDB and Claude
  |  By Markus Bergmaier
By combining Fivetran, DuckDB, Claude, and an MCP server with an open data infrastructure, you can enable conversational analytics and talk to your data.
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From Guidewire Cloud Access to analytics-ready data
  |  By Parmeet Kohli
Use Guidewire Cloud Data Access to turn raw cloud exports into structured, usable data without custom pipelines or ongoing maintenance.
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AI's biggest constraint isn't models. It's data reliability.
  |  By Monica Ohara
Organizations with more reliable, automated data environments are nearly 2x more likely to exceed ROI expectations.
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Fivetran product update: April 2026
  |  By Ciara Rafferty
Keep track of new connectors and product releases.
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Fivetran Activations Demo
  |  By Fivetran
Learn how Fivetran activates data and delivers it into business applications for analytics, insights, and customer segmentation.
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How to dynamically map source files to tables using Fivetran File connectors
  |  By Fivetran
And get Fivetran’s latest news at.
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How to use the Fivetran Managed Data Lake Service to set up ADLS
  |  By Fivetran
How to use the Fivetran Managed Data Lake Service to set up ADLS.
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How to Sync Salesforce and Snowflake Data with Fivetran + Census
  |  By Fivetran
Learn how Fivetran enables forward and reverse data replication. In this demo, you will see data sync from Salesforce to Snowflake with Fivetran and back to Salesforce with a lead score derived from both Salesforce and warehouse data fields showcasing the power of the combined Fivetran and Census platform for marketing use cases.
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How to use the Fivetran Managed Data Lake Service to set up Amazon S3
  |  By Fivetran
And get Fivetran’s latest news at.
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Fivetran Demo: High-volume Oracle to Oracle data replication
  |  By Fivetran
Replicate data from and to Oracle systems in Fivetran using the Oracle Binary Log Reader for high-volume data replication.
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How to use the Fivetran Managed Data Lake Service to set up Google Cloud Storage
  |  By Fivetran
Learn how to successfully replicate data from Salesforce to Google Cloud Storage.
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Bridgestone's Chief Data Officer on leading with trust and data
  |  By Fivetran
In this episode, Johnathan Tate, Chief Data Officer at Bridgestone Americas, shares how he navigates the critical first 90 days in a new role, builds trust with executives, and positions data as a strategic growth driver. Whether you’re currently in a CDO seat or working toward one, Tate’s playbook offers a blueprint for how to accelerate impact, align with business needs, and lead through AI-fueled transformation.
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How to Manage Connector State with Fivetran API and Postman
  |  By Fivetran
And get Fivetran’s latest news at.
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Visual Studio Code with Claude: Using AI to build a custom connector with Fivetran's Connector SDK
  |  By Fivetran
Using AI to build a custom connector with Fivetran’s Connector SDK.
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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.

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