Open Data Infrastructure, the architecture for agents

Open Data Infrastructure (ODI) is a standards-based architectural approach that gives organizations control over their data, cost, compute, and shared context. Built for an agent-driven world, it is the flexible foundation for scaling AI without lock-in or re-architecture.

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the problem

Data's role has evolved —  your infrastructure hasn’t

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Data now powers operations and AI — not just analytics

Data drives real-time operations and AI, not just dashboards. But most infrastructures are still built for human queries, leading to fragmented pipelines, stale data, and growing complexity.

Vendors are shrinking access to your data

SaaS vendors monetize data access with restricted APIs, while all-in-one platforms lock storage, compute, and governance into closed ecosystems — driving up costs and limiting flexibility.

AI systems and agents are raising the stakes

As usage scales from human queries to autonomous agents, data access gaps and rigid architectures become barriers to innovation and cost control.

The solution

An open, standards-based architecture for control, interoperability, and AI-ready data

A shift for the ai world

As AI reshapes how data is used, organizations need infrastructure built for agents, not just analytics.

ODI gives you the control and flexibility modern data and AI demand.

What is ODI

Built on open standards

Interoperable by design

AI-agent ready

Flexible and future-proof

Designed for the future

The modern data stack solved analytics. Open Data Infrastructure solves what comes next.

01

Automated, standards-based ingestion and transformation for architectural flexibility

Move and transform data for portability across tools and engines, so pipelines evolve without rewrites and data stays accessible from the source.

02

An open data lake foundation to reduce overhead and eliminate duplication

Store data once in open formats and separate storage from compute — lowering costs and unlocking the flexibility to run each workload on the right engine.

03

Unified activation, semantics, and AI consumption for trusted data across systems

Define data, metrics, and business logic once and reuse them everywhere so analytics, operations, and AI systems operate on consistent, reliable context.

The platform for ODI

Fivetran is the open data foundation for AI

Fivetran delivers the open, interoperable data foundation that makes Open Data Infrastructure possible. By standardizing data movement, management, and transformation, Fivetran guarantees data remains available, portable, and ready for AI workloads — without sacrificing reliability or control.

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Broad, open access from systems of record

Access is where ODI begins. Fivetran provides 750+ out-of-the-box connectors, a Connector SDK for hard-to-reach sources, and automated schema evolution — delivering complete data from the source.

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Enterprise-grade reliability and performance

AI and operational systems require always-on data. Fivetran delivers 99.9% uptime, self-healing pipelines, and high-performance CDC — so data is fresh, accurate, and ready for agent-scale consumption.

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Economic advantage with decoupled storage and compute

Fivetran supports a lake-first, open architecture that separates storage from compute — eliminating duplication, reducing ingest costs, and allowing workloads to run on the most cost-effective engine.

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Governance, security, and visibility

Openness requires control. Fivetran provides enterprise-grade security certifications, fine-grained governance, and native catalog integrations — enabling trusted, compliant, and accessible data across analytics and AI systems.

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