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By David Millman
dbt Wizard brings conversational AI to analytics and context engineering, grounded in your dbt project’s lineage, compiled state, tests, and semantics.
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By Garrett Kelly
Learn what data replication is. Explore the best data replication tools, compare pros and cons, and discover how to choose the right solution.
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By David Millman
To fully take advantage of AI, your organization needs a solid foundation of automated data integration, context engineering, and an agentic harness.
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By Charles Wang
A single source of truth doesn’t just come from centralizing data. You have to engineer context from it, too.
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By Mike Gordon
Two engineers used AI coding agents to design, build, and ship a production-ready status page — here's what worked, what didn't, and what we'd do differently.
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By Charles Wang
Interoperability means the optionality to adapt to rapidly changing future demands.
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By Vin Agrawal
Automated data integration enables AI and analytics based on mission-critical operational data stored in IBM Z.
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By Natalie Waller
Most data stacks weren’t built for AI agents. Take the ODI Assessment to find out if yours is ready.
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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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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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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.