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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Subscription$35/month ✓ verified
Initial build80 hours
Monthly upkeep20 hours + $300
Evidence3/3 runs agree

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 ischeaper 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