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Google Cloud Storage - Aviary Platform Integration and Automation

Integrate Google Cloud Storage Cloud Storage and Aviary Platform Digital Asset Management (DAM) apps with any of the apps from the library with just a few clicks. Create automated workflows by integrating your apps.

Common Integration Use Cases Between Google Cloud Storage and Aviary Platform

1. Centralized media storage with Aviary as the working layer

Data flow: Google Cloud Storage ? Aviary Platform

Organizations can store master video and audio files in Google Cloud Storage and automatically ingest them into Aviary for media management, tagging, and collaboration. This is useful for teams that need durable, low-cost object storage for source assets while giving editors, producers, and content managers a searchable workspace in Aviary.

  • Reduces duplication of large media files across teams
  • Keeps original assets secure and versioned in cloud storage
  • Enables faster access to assets for review and production workflows

2. Automated publishing of approved media assets to cloud storage

Data flow: Aviary Platform ? Google Cloud Storage

After media is reviewed, approved, and finalized in Aviary, the published version can be pushed to Google Cloud Storage for downstream distribution, archival, or delivery to other systems. This supports controlled handoff from creative teams to operations, web teams, or external partners.

  • Ensures only approved assets are stored in production repositories
  • Supports archival of final deliverables for compliance and reuse
  • Improves handoff between creative review and content operations

3. Metadata synchronization for searchable media libraries

Data flow: Bi-directional

Aviary metadata such as title, project, rights status, language, campaign, and usage restrictions can be synchronized with metadata stored alongside objects in Google Cloud Storage. This creates a consistent asset record across storage and media management systems, improving searchability and governance.

  • Helps legal, marketing, and production teams find the right asset quickly
  • Reduces metadata drift between systems
  • Supports rights management and content compliance

4. Automated transcoding and derivative asset generation

Data flow: Google Cloud Storage ? Aviary Platform ? Google Cloud Storage

Original media files can be stored in Google Cloud Storage, then processed through Aviary workflows to generate derivatives such as preview clips, compressed versions, thumbnails, or audio snippets. The derivatives can then be written back to Google Cloud Storage for use in CMS, portals, or distribution channels.

  • Speeds up content preparation for web and mobile delivery
  • Reduces manual editing and file conversion effort
  • Improves consistency of output formats across channels

5. Content collaboration and review workflow for distributed teams

Data flow: Google Cloud Storage ? Aviary Platform

Media teams can keep high-volume source files in Google Cloud Storage while Aviary provides the collaboration layer for review, comments, approvals, and asset organization. This is especially valuable for distributed organizations where stakeholders need access to media without directly handling storage infrastructure.

  • Supports remote review and approval cycles
  • Minimizes access to raw storage buckets for non-technical users
  • Improves turnaround time for campaign and production approvals

6. Long-term media archive with active asset management

Data flow: Aviary Platform ? Google Cloud Storage

Completed projects, historical footage, and unused media can be archived in Google Cloud Storage while remaining discoverable through Aviary metadata. This gives enterprises a cost-effective archive strategy without losing visibility into stored content.

  • Lowers storage costs for inactive assets
  • Preserves searchable records for reuse and compliance
  • Supports retention policies for regulated industries and media archives

7. CMS and DAM publishing pipeline for omnichannel content delivery

Data flow: Google Cloud Storage ? Aviary Platform ? CMS or DAM via OneTeg

Media assets can originate in Google Cloud Storage, be organized and enriched in Aviary, and then be published through OneTeg to downstream CMS or DAM platforms. This creates a controlled media supply chain for websites, campaigns, and digital experiences.

  • Streamlines publishing from production to digital channels
  • Improves consistency of asset metadata across systems
  • Reduces manual upload and re-tagging work for content teams

8. Secure external sharing and distribution of large media files

Data flow: Google Cloud Storage ? Aviary Platform

Enterprises can store large media files in Google Cloud Storage and expose selected assets through Aviary for controlled sharing with agencies, freelancers, or regional teams. Aviary provides the user-friendly media interface while Google Cloud Storage provides secure, scalable file hosting.

  • Supports secure access without broad bucket permissions
  • Improves collaboration with external partners
  • Enables scalable distribution of large video and audio assets

How to integrate and automate Google Cloud Storage with Aviary Platform using OneTeg?