Fluid Forge
Why Forge
Concepts
Get Started
  • Consume a Data Product
  • See it run
  • Demos
  • Local (DuckDB)
  • Source-Aligned (Postgres → DuckDB)
  • AI Forge + Data Models
  • MCP Output Port — Serve to AI Agents
  • GCP (BigQuery)
  • Snowflake Team Collaboration
  • Declarative Airflow
  • Orchestration Export
  • Jenkins CI/CD
  • Universal Pipeline
  • 11-Stage Production Pipeline
  • Catalog Forge End-to-End
CLI Reference
  • Agent Policy (concept)
  • MCP Output Port — Serve to Agents
  • MCP deep-dive
  • AI-assisted authoring
  • LLM providers & backends
  • Overview
  • Quickstart
  • Examples
  • Your own CI
  • Your own scaffolding
  • Custom validator
  • Apply hook
  • Reference
  • Overview
  • Architecture
  • GCP (BigQuery)
  • AWS (S3 + Athena)
  • Snowflake
  • Local (DuckDB)
  • Custom Providers
  • Roadmap
GitHub
Why Forge
Concepts
Get Started
  • Consume a Data Product
  • See it run
  • Demos
  • Local (DuckDB)
  • Source-Aligned (Postgres → DuckDB)
  • AI Forge + Data Models
  • MCP Output Port — Serve to AI Agents
  • GCP (BigQuery)
  • Snowflake Team Collaboration
  • Declarative Airflow
  • Orchestration Export
  • Jenkins CI/CD
  • Universal Pipeline
  • 11-Stage Production Pipeline
  • Catalog Forge End-to-End
CLI Reference
  • Agent Policy (concept)
  • MCP Output Port — Serve to Agents
  • MCP deep-dive
  • AI-assisted authoring
  • LLM providers & backends
  • Overview
  • Quickstart
  • Examples
  • Your own CI
  • Your own scaffolding
  • Custom validator
  • Apply hook
  • Reference
  • Overview
  • Architecture
  • GCP (BigQuery)
  • AWS (S3 + Athena)
  • Snowflake
  • Local (DuckDB)
  • Custom Providers
  • Roadmap
GitHub
  • Introduction

    • Home
    • Why Fluid Forge
    • Getting Started
    • Snowflake Quickstart
    • See it run
    • Forge Data Model
    • Vision & Roadmap
    • Playground
    • FAQ
  • Concepts

    • Concepts
    • Builds, Exposes, Bindings
    • What is a contract?
    • Quality, SLAs & Lineage
    • Governance & Policy
    • Agent Policy (LLM/AI governance)
    • Providers vs Platforms
    • Fluid Forge vs alternatives
  • Data Products

    • Consume a Data Product
    • Product Types — SDP, ADP, CDP
  • Walkthroughs

    • Walkthrough: Local Development
    • Source-Aligned: Postgres → DuckDB → Parquet
    • AI Forge And Data-Model Journeys
    • Walkthrough: MCP Output Port
    • Walkthrough: Deploy to Google Cloud Platform
    • Walkthrough: Snowflake Team Collaboration
    • Declarative Airflow DAG Generation - The FLUID Way
    • Generating Orchestration Code from Contracts
    • Jenkins CI/CD for FLUID Data Products
    • Universal Pipeline
    • The 11-Stage Pipeline
    • End-to-End Walkthrough: Catalog → Contract → Transformation
  • CLI Reference

    • CLI Reference
    • Core workflow

      • fluid init
      • fluid demo
      • fluid forge
      • fluid validate
      • fluid plan
      • fluid apply
      • fluid diff
      • fluid status
    • Build & ship

      • fluid bundle
      • fluid generate
      • fluid generate artifacts
      • fluid validate-artifacts
      • fluid verify-signature
      • fluid generate iac
      • fluid generate-airflow
      • fluid generate-pipeline
      • fluid viz-graph
      • fluid publish
      • fluid ship
      • fluid rollback
      • fluid schedule-sync
    • AI & Agents

      • fluid ai
      • fluid agents
      • fluid mcp
      • fluid memory
      • fluid stats
      • fluid skills
    • Quality & governance

      • fluid test
      • fluid verify
      • fluid contract-tests
      • fluid contract-validation
      • fluid policy
      • fluid policy check
      • fluid policy compile
      • fluid policy apply
    • Standards & interoperability

      • fluid odps
      • fluid odps-bitol
      • fluid odcs
      • fluid export
      • fluid export-odps
      • fluid exporters
      • fluid import
      • fluid market
      • fluid datamesh-manager
    • Project & workspace

      • fluid product-new
      • fluid product-add
      • fluid workspace
      • fluid contract
      • fluid split
      • fluid config
      • fluid providers
      • fluid plugins
      • fluid provider-init
      • fluid auth
      • fluid secrets
      • fluid ide
      • fluid scaffold-ci
      • fluid scaffold-composer
      • fluid scaffold-ide
      • fluid docs
      • fluid runs
      • fluid retention
      • fluid describe
      • fluid doctor
      • fluid roadmap
      • fluid version
    • Catalog adapters

      • Source Catalog Integration (V1.5)
      • Publishing to a Catalog — Overview
      • BigQuery Catalog
      • Snowflake Horizon Catalog
      • Databricks Unity Catalog
      • Google Dataplex Catalog
      • AWS Glue Data Catalog
      • DataHub Catalog
      • Data Mesh Manager Catalog
      • OpenMetadata Catalog
    • CLI by task

      • CLI by task
      • Add quality rules
      • Add agent governance
      • Debug a failed pipeline run
      • Switch clouds with one line
  • Recipes

    • Recipes
    • Recipe — add a quality rule
    • Recipe — switch clouds with one line
    • Recipe — tag PII in your schema
    • Write a contract that consumes another contract
    • Generate per-environment overlays
  • SDK & Plugins

    • SDK & Plugins
    • Quickstart — your first plugin
    • Examples

      • Runnable examples
      • Example: hello-scaffold — the minimal viable plugin
      • Example: gitlab-ci-scaffold — generate a complete CI project
      • Example: steward-validator — a custom governance rule
      • Example: prod-key-guard — apply-time invariant check
    • Journeys

      • Journeys
      • Your own CI/CD

        • You have your own CI/CD setup, no problem
        • GitLab CI — the bundle template
        • GitHub Actions — the bundle template
        • Jenkins — the bundle template
        • CircleCI — the bundle template
      • You have a strict project layout, no problem
      • You have governance rules, no problem
      • You want a check at apply time, no problem
    • Reference

      • Reference
      • Roles reference
      • Entry points reference
      • Trust model
      • Packaging
      • Companion packages
  • Providers

    • Providers
    • Provider Architecture
    • GCP Provider
    • AWS Provider
    • Snowflake Provider
    • Local Provider
    • Creating Custom Providers
    • Provider Roadmap
  • AI & Agents

    • MCP Server
    • Built-in And Custom Forge Guidance
    • Forge Discovery Guide
    • Forge Memory Guide
    • Authoring Forge Tools
    • Guided fluid forge UX
    • LLM Providers
    • LiteLLM Backend
    • Capability Warnings
    • Cost Tracking
    • FLUID Forge Contract GPT Packet
    • Agentic Primitives
  • Operate & Deploy

    • Airflow Integration
    • Blueprints
    • Source-Aligned Acquisition
  • Govern & Secure

    • Governance, Compliance & the Business Case
    • Governance & Compliance
    • Network Safety
    • Credential Resolver — Security Model
  • Configuration & Reference

    • Environment Variables
    • Typed Errors
    • Typed CLI Errors
    • API Stability — fluid_build.api
  • Architecture & Releases

    • V1.5 Catalog Integration — Architecture Deep-Dive
    • V1.5 + V2 Hardening — Release Notes
  • Project

    • Contributing to Fluid Forge
    • Fluid Forge Docs Baseline: CLI 0.9.0
    • Fluid Forge Docs Baseline: CLI 0.8.11
    • Fluid Forge Docs Baseline: CLI 0.8.10
    • Fluid Forge Docs Baseline: CLI 0.8.9
    • Fluid Forge Docs Baseline: CLI 0.8.8
    • Fluid Forge Docs Baseline: CLI 0.8.7
    • Fluid Forge Docs Baseline: CLI 0.8.6
    • Fluid Forge Docs Baseline: CLI 0.8.5
    • Fluid Forge Docs Baseline: CLI 0.8.4
    • Fluid Forge Docs Baseline: CLI 0.8.3
    • Fluid Forge Docs Baseline: CLI 0.8.0
    • Fluid Forge Docs Baseline: CLI 0.7.11
    • Fluid Forge Docs Baseline: CLI 0.7.9
    • Fluid Forge v0.7.1 - Multi-Provider Export Release

Providers

Fluid Forge uses one contract format across local and provider-backed execution targets.

Why it matters Target a new cloud by changing one line — no per-cloud rewrite, no lock-in at the contract layer. Swap binding.platform and the same contract recompiles for local (DuckDB), aws, gcp, or snowflake; every provider implements the same interface.

Docs baseline

  • CLI release covered by the primary docs: 0.10.0
  • Default scaffold (fluid init --quickstart) emits fluidVersion: 0.7.2
  • Discovery-based scaffolds (fluid init --discover, fluid forge, fluid product-new) emit fluidVersion: 0.7.5 — the latest bundled schema

Some deep-dive provider pages still preserve older 0.7.1 snippets for backward-compatibility context. Those examples should not be read as “current version” guidance.

Provider overview

Fluid Forge registers four apply-capable cloud providers (plus the local DuckDB target). The full roster reported by fluid providers is aws, datamesh_manager, gcp, local, redshift, snowflake:

ProviderPlan / ApplyScheduling docs stanceStatus
GCPYesPrefer fluid generate scheduleProduction
AWSYesPrefer fluid generate scheduleProduction
SnowflakeYesPrefer fluid generate scheduleProduction
LocalYesLocal-first onboardingProduction

ODCS / ODPS are spec exporters, not providers. As of v0.10.0 the open-standards exports (ODCS, ODPS, ODPS-Bitol) are surfaced by fluid exporters — they serialize a contract to a spec and do not deploy infrastructure, so they no longer appear in the fluid providers roster.

Runtime requirement for cloud apply

On v0.10.0, fluid apply against aws / gcp / snowflake auto-compiles the contract to OpenTofu and delegates to the tofu binary — install tofu ≥ 1.6.0 on PATH. local keeps its native DuckDB apply, no tofu needed. See fluid generate iac.

The CLI surface today is asymmetric for the two spec exporters — fluid odcs exposes export / import / validate / info, while fluid odps-bitol exposes only export / validate / info. The unified fluid odps command covers both specs and adds an import subcommand for Bitol — see fluid odps and fluid odcs.

Compatibility note: fluid generate-airflow still exists, but the primary docs path is fluid generate schedule --scheduler airflow.

Quick start by provider

GCP

gcloud auth application-default login
gcloud config set project YOUR_PROJECT_ID
fluid apply contract.fluid.yaml --provider gcp --yes

AWS

aws configure
fluid apply contract.fluid.yaml --provider aws --yes

Snowflake

export SNOWFLAKE_ACCOUNT=your_account
export SNOWFLAKE_USER=your_user
fluid apply contract.fluid.yaml --provider snowflake --yes

Local

fluid init my-project --quickstart
cd my-project
fluid apply contract.fluid.yaml --yes

Standards and catalogs

Beyond the cloud and local providers, Fluid Forge round-trips contracts against public data-product standards and publishes them to catalogs.

The full list of spec-export formats is surfaced by fluid exporters. Exporters serialize a contract to a spec and are not cloud providers — for deployment targets see fluid providers.

Standards exchange — fluid odps

The unified fluid odps command dispatches both export and import across the ODPS specs via --spec. The spec exporters themselves are bidirectional at the exporter layer (render + import_contract + validate).

SpecCommandWhat it is
ODPS — Bitol 1.0.0fluid odps export … --spec bitol-1.0.0 / fluid odps importBitol variant — 1 ODPS doc + N sibling ODCS contracts (one per output port).
ODPS — v4.1fluid odps export … --spec odps-v4.1Open Data Product Initiative single-file variant. Export-only.
ODCSfluid odcs export / fluid odcs importOpen Data Contract Standard v3.1.0 (Bitol.io).

Exporter-specific entry points also remain: fluid odps-bitol for the Bitol layout. New scripts should prefer fluid odps with --spec.

Publishing — catalog registrars

v0.8.3 consolidated catalog publishing under one registry. Contracts opt in via properties.catalog.register: [<name>]; three publish-side registrars are active:

CatalogReference
DataHubcatalog overview → DataHub publish
OpenMetadataOpenMetadata publish
Data Mesh Manager / Entropy DataDMM publish
FLUID Command Centerfluid publish

The previously-shipped glue and snowflake_horizon registrars were retired in v0.8.3 and folded into the IaC layer — catalog metadata for those targets is now emitted as aws_glue_catalog_table / snowflake_table resources via fluid generate iac. One source of truth, drift-detected by tofu plan.

Notes

  • Use provider-specific guides when you need deep target details.
  • Use CLI Reference for command syntax.
  • Use Getting Started for the local-first workflow.

Need a hand with a specific provider? Start a discussion or open an issue.

Edit this page on GitHub
Last Updated: 6/27/26, 4:58 PM
Contributors: Jeff Watson, jeffwatson-ai, fas89, Claude Opus 4.7 (1M context)
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