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By Alison Kline
Like many companies, Fivetran has recently piloted a number of projects and internal tools using AI. AI offers the potential to augment or accelerate a huge range of day-to-day business tasks, including better understanding and prioritizing customer requests, surfacing trends across multiple business units, and automating customer communications. The key to delivering value using AI is to ensure that it has access to quality data and a data infrastructure capable of providing it.
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By Amy Peterson
As organizations shift from analytics to AI, the modern data stack breaks under tightly coupled, warehouse-centric architectures that limit flexibility and scale.
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By Jamie Cole
Analysts, data engineers, ML engineers, and data scientists don’t work the same way; they shouldn’t have to. Today’s data ecosystem includes more roles, more tools, and more specialized workflows than ever before. The days of limiting access to a single warehouse or lake — controlled by a small group of data engineers or analysts — are over.
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By Taylor Brown
Enterprises are pouring millions into agentic AI. New findings from Fivetran's “Agentic AI readiness index 2026” reveal why most won’t see the return.
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By Anjan Kundavaram
Conversational analytics leveraging Fivetran, Jira, and Claude saves analytical effort and boosts productivity.
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By Evangelos Danias
It has never been faster or easier to translate between different SQL dialects so that you can use different query engines.
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By Taylor Brown
What the new policy means, what it doesn't, and why Open Data Infrastructure matters more than ever.
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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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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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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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By Fivetran
Learn how Fivetran activates data and delivers it into business applications for analytics, insights, and customer segmentation.
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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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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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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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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.