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By Tristan Handy
As AI's power grows, so do the public policy implications of data stewardship. These 5 principles form our public policy framework.
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By Jalene Svrcina
Explore why data is becoming the defining challenge for enterprise AI and what leaders must consider as agents gain greater autonomy.
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By Kendra Leverette
Learn what a data catalog is and how technical and business data catalogs compare. Explore data catalog examples, along with tips to select the right tool.
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By Fivetran
Learn how a NetSuite-Snowflake integration works. Explore methods like ETL tools, iPaaS solutions, and NetSuite Integration Platform, and how to set them up.
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By Jalene Svrcina
At dbt Summit, leaders from Fivetran + dbt Labs, Snowflake, Microsoft, and MotherDuck discussed why openness includes compute, governance, business context, and AI.
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By Crystal McMoore
How I use Fivetran connectors and Skills to turn our warehouse data into direct answers through Claude, instead of rebuilding the same analysis in Marketo every time.
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By Garegin Ordyan
What are we spending? Who’s using AI? Is it improving productivity? Here’s how we use Fivetran’s own AI connectors to turn fragmented AI consumption data into answers we can act on.
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By Chris McVeigh
We’re lowering our prices and introducing key product enhancements to power your data pipelines.
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By Charles Wang
Combine off-the-shelf data integration and transformation with Lakeflow’s streaming data replication, orchestration, and platform-native integrations.
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By Fivetran
Fivetran + dbt Labs CEO George Fraser, President Tristan Handy, and Andreessen Horowitz general partner Martin Casado talk about Open Data Infrastructure in the AI era.
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By Fivetran
Fivetran + dbt Labs CEO George Fraser and Fivetran + dbt Labs President Tristan Handy sit down with Andreessen Horowitz general partner Martin Casado, one of the leading investors in software and AI infrastructure, to talk about Open Data Infrastructure in the AI era. Martin and his team have invested in dbt, Fivetran, Tabular, Cursor, OpenRouter, and many other companies.
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By Fivetran
See how Fivetran and dbt help an AI reordering agent make more reliable retail decisions. This end-to-end demo shows how trusted data supports smarter inventory decisions across the enterprise.
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By Fivetran
As Superhuman expanded its AI platform across Grammarly, Coda, Superhuman Mail, and Superhuman Go, more of the business began to rely on timely data from Salesforce, Outreach, Pardot, Stripe, Zendesk, Qualtrics, and other third-party systems. The challenge went far beyond moving data into Databricks. Go-to-market, finance, and customer teams needed faster, reliable access to trusted data without turning every new data request into weeks of custom engineering.
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By Fivetran
As AI accelerates the pace of change, demanding fresher data, diverse formats, and support across multiple engines, many teams discover their infrastructure was built for reporting, not real-time AI at scale. Open Data Infrastructure is redefining how organizations design for analytics, operations, and AI. By leveraging Fivetran as an interoperable data foundation, organizations can embrace open standards, separate storage from compute, and keep data portable across clouds and engines, preserving adaptability while scaling AI and operational workloads with Databricks.
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By Fivetran
Healthcare organizations operate some of the most complex data environments, spanning thousands of systems across clinical, financial, and operational domains. At Inova Health, this complexity created an opportunity to rethink how data could better support analytics and AI at scale.
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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.