Cloud storage decision

Shade

A small team can build a narrow replacement (uploads, proxies, basic AI tagging and search) over several weeks, but reproducing Shade's enterprise compliance, certifications, polishing (streaming client, multi-mount drives) and managed services is not realistic without significant investment.

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You pay

$35/mo

$420/yr

Per seat. Read off the official pricing page.

You’d pay instead

$100one-off80 h to build

$300/mo20 h/mo upkeep

On cash alone, building overtakes the subscription at 9 seats.

Open-source builds that already do this

Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need - the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship. All Shade alternatives, with the arithmetic →

What a replacement has to do

  • Upload media, generate proxies/transcodes, extract metadata (transcript, faces, visual labels), index metadata for search, share for review and collect timestamped comments/approvals.

What it still won’t have

  • Enterprise compliance certifications and attested audits (SOC2/ISO/HIPAA/TPN)
  • Fully managed enterprise onboarding/data-migration services
  • Polished high-performance cloud-to-local streaming client and multi-mount drive UX
  • Dedicated account manager, SLA-backed support, and emergency phone support

What remains hard

  • Compliance and regulationSOC II Type 2 Certified
Read the build prompt

First-year cost

Keep paying

Paying is—cheaper in year one.

On cash alone, building overtakes the subscription at 9 seats.

Paid seatsseats

Money you would actually spend

Keep paying
—

Subscription price × seats × 12

Build it
—

AI build —APIs + hosting —

Time you would spend

—

—

What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a self-hosted minimal media asset manager using Node.js (Express) backend, Postgres metadata DB, S3 for object storage, AWS Elemental MediaConvert or FFmpeg workers for proxy generation, OpenAI/whisper or Google Speech-to-Text for transcription, and Elasticsearch (or Meilisearch) for indexing. In scope: resumable large-file uploads to S3, background job queue for proxy/transcode and metadata extraction, vision and speech inference pipeline that writes structured metadata, a search API with full-text and faceted filters, and a web UI to browse/stream proxies, create shareable collections, and add timestamped review comments with RBAC. Out of scope: enterprise compliance audits, TPN certification, multi-mount local drive client, and paid managed onboarding. Include error handling, retry/backoff for background jobs, basic tests for API endpoints and job workers, and Docker compose for local deployment.
How we checked5 sources · 3/3 runs agreed · evidence score 64

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 5 cited sources+3
  • Price verified on pricing page+3
  • 3/3 assessment runs agreed+4
  • Hard moats found in the evidence-3
  • Evidence score64

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.

How scoring works →

Cited sources · 5

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

✓ Price read off the page✓ 3 independent runs, one answer✓ Citations limited to fetched pages! 1 moat quoted from the page