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Arcyria documents current self-serve ELT workflows in the app. PostgreSQL, MySQL, MongoDB, Airtable, ClickHouse, or HubSpot source data flows through isolated staging and explicit SQL models into supported PostgreSQL, MySQL, MongoDB, or Airtable destinations. The current product uses a tabbed pipeline workspace. The former canvas and node editor has been removed. Old /builder links redirect to the corresponding tab in the pipeline workspace.

What is live

  • PostgreSQL and MySQL Available Now source and destination connections
  • MongoDB Available Now source and destination connections with encrypted URI setup, dynamic collection discovery, and key-required Upsert delivery
  • Airtable Available Now source and destination connections
  • ClickHouse Available Now source connections; ClickHouse as a destination is coming soon
  • HubSpot production source connections with 18 supported streams
  • Pipeline creation from Data Pipelines
  • One pipeline workspace with Overview, Source, Transformations, Destinations, Runs, GitHub, and Settings tabs
  • Source stream selection, sync mode, cursor, fields, and preview in Source
  • Destination-owned SQL drafts, validation, preview, publishing, and revision history
  • Independent destination editors and published output assignments
  • Run all from the pipeline header and detailed execution history in Runs
  • Fixed-interval or UTC cron scheduling from Settings

What is not documented as live

  • Stripe sources are Coming Soon with connection setup hidden; saved records and billing are retained.
  • Strapi and Zendesk sources, and DuckDB sources and destinations, are Coming Soon with disabled catalog cards
  • The removed canvas or node-based pipeline editor
  • A separate Normalisation panel; rename and cast values in SQL transformations
  • Other non-live database and SaaS connectors
  • Log-based change capture
  • Automatic destination table creation by the delivery runner
  • Non-Upsert write modes
  • Public MCP or embedded-agent workflows
  1. Quick Start
  2. Core Concepts
  3. Connections Overview
  4. Pipelines Overview
  5. Postgres-to-Postgres Example
  6. PostgreSQL Incremental Sample
  7. HubSpot-to-PostgreSQL Example
  8. Airtable and MySQL Pipelines
  9. MongoDB and PostgreSQL Verified Paths