Eigen X + Fivetran + dbt

Build your data infrastructure all in one place

Many organizations run their data ingestion and data transformation as two separate worlds, stitched together with custom scripts and manual handoffs. That fragmentation slows analytics teams down and makes AI initiatives even harder to trust, since every model is only as reliable as the pipeline feeding it. Eigen X closes that gap by implementing Fivetran + dbt together as one open data infrastructure. Fivetran automates the reliable, ongoing extraction and loading of data from your source systems, while dbt transforms that raw data into clean, tested, analytics-ready models your teams can build on.

Open Data Infrastructure Explained

Valued Partnerships

As a partner of both Fivetran and dbt, we have collaborated with both platforms on projects across industries. By leveraging the power of our relationship with Fivetran + dbt, our developers can guide you through best practices and can address and expedite issues with access to Fivetran + dbt resources and solutions engineers.

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Our Key Fivetran + dbt Expertise

  • Fivetran offers more than 750 pre-built connectors spanning SaaS applications, databases, APIs, and files, plus a Connector SDK and AI Connector Agent that can generate a working connector from a source's API documentation in minutes. We implement Fivetran to cover both the common data sources every business relies on and the niche, purpose-built systems that used to require custom engineering.

  • Fivetran's self-healing pipelines back a 99.9% uptime guarantee, and high-performance change data capture keeps downstream systems current in near real time rather than on a batch delay. When we help our clients integrate Fivetran enterprise-grade security certifications, fine-grained governance controls, and native catalog integrations, the tools give organizations visibility and control over where data goes and who can access it. This way speed of delivery never comes at the cost of compliance.

  • With the release of dbt Core v2.0 and its Rust-based Fusion engine, teams get up to 10 times faster parsing and a runtime built to scale with larger, more complex projects, all while keeping the same approachable, SQL-first workflow that lets analysts write production-grade pipelines without needing to be full-time software engineers.

  • dbt State reduces the compute a dbt job needs by an average of 30%, by checking whether source data actually changed before rebuilding a model rather than reprocessing everything on every run. dbt Wizard, a purpose-built AI agent that understands a project's existing contracts and lineage, can propose and validate transformation logic changes without putting downstream reliability at risk.

  • Fivetran and dbt combine into what the companies call Open Data Infrastructure: a single, standards-based path from raw source data to trusted, AI-ready models, with no proprietary lock-in at any step. A shared Agents Schema carries metric definitions, semantic models, lineage, and business documentation across both platforms, so the context your team builds while defining a metric or modeling a business process isn't stranded in one tool. It becomes a common foundation that both human analysts and AI agents and assistants can rely on with confidence.