Streaming Apple Immersive Video
Infrastructure Report/2026 Edition

Choosing a Spatial Video Pipeline: Comparing SpatialGen and AWS

An analysis of general-purpose cloud architectures versus specialized immersive media engines in the wake of shifting industry standards.

Video Engineering Team

Updated Jan 2026 • 8 min read

The AWS Ecosystem for Video

Amazon Web Services (AWS) is the industry standard for scalable cloud architecture, offering a comprehensive suite of media tools under theAWS Elemental brand. For organizations building bespoke video platforms from the ground up, services like MediaConvertand CloudFront offer unparalleled granularity and control.

However, this granularity often introduces significant friction when deploying specialized formats like spatial video. AWS treats MV-HEVC as just another codec profile, requiring developers to manually configure elaborate JSON job specifications, manage S3 bucket policies, and orchestrate Lambda triggers to build a functioning pipeline.

The "Glue Code" Problem

A functional AWS spatial video workflow isn't a single service; it's a chain of dependencies. You upload to S3, which triggers a Lambda, which submits a MediaConvert job, which outputs new files to S3, which triggers another event to update a database. This "glue code" represents a hidden maintenance cost—every API update or service deprecation requires engineering intervention to keep the pipeline flowing.

Streamlining Spatial with SpatialGen

SpatialGen takes a fundamentally different approach. Instead of a toolkit of disparate parts, it provides a cohesive, verticalized engine for immersive media. The complexity of transcoding, segmenting, packaging, and securing video is encapsulated behind a single API endpoint.

This focus allows for optimizations that generalized services miss. SpatialGen's encoding ladder is specifically tuned for stereoscopic depth preservation, and its player integration ensures seamless playback across visionOS versions without custom development.

Cloud Agnostic Integration

Many teams use AWS for their core backend but leverage SpatialGen as a specialized media engine. Because SpatialGen generates standard HLS streams, the output can easily be integrated into applications hosted on EC2, Lambda, or Amplify.

This allows developers to keep their user data and application logic within the AWS security perimeter while offloading the heavy lifting of 16K spatial video processing to a dedicated platform.

Stereoscopic Output Quality

General-purpose encoders often struggle with the precise alignment required for comfortable 3D viewing. SpatialGen's pipeline includes quality assurance checks specifically for MV-HEVC to minimize depth conflicts and user nausea.

One-Step Packaging

AWS MediaConvert requires separate output groups for HLS packaging. SpatialGen inherently understands that spatial video is destined for streaming, automatically generating the requisite multi-variant playlists and fMP4 segments.

Turnkey DRM

Setting up DRM on AWS involves DRM providers (like SPEKE) and complex key exchange servers. SpatialGen includes a fully managed DRM solution, allowing you to protect premium content instantly without third-party contracts.

Simplified Billing

AWS bills for every component: S3 requests, storage GB, Data Transfer Out, and MediaConvert minutes. SpatialGen consolidates these into a straightforward model, eliminating "bill shock" from high-traffic viral content.

Architectural Comparison

Choosing between AWS and SpatialGen is a trade-off between total control and velocity. AWS offers infinite configurability for teams with the resources to manage it. SpatialGen offers a specialized, "batteries-included" platform for teams that need to ship high-fidelity spatial experiences today.

FeatureAWS (MediaConvert)SpatialGen
MV-HEVC ConfigComplex JSON SpecsAutomatic / Native
HLS GenerationSeparate Output GroupBuilt-in Standard
16K SupportPreset Limits ApplyFully Supported
Deployment SpeedHigh Engineering EffortInstant