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Pricing

Choose the deployment and pricing model that matches your live workflow

Price the workflow people actually buy: SRT ingest, browser playback, multi-destination delivery, recording, archive, and operator visibility. Start with cloud if speed matters. Move toward self-hosted if control, policy, or infrastructure economics matter more.

See self-hosted options
CloudChoose cloud when you need to prove the workflow quickly

Best when the fastest path is launch speed, managed operations, and a cleaner first estimate for playback, archive, and distribution.

  • Launch quickly for churches, webinars, and virtual events
  • Use buyer-facing estimates before deep infrastructure planning
  • Keep the next step simple: continue in cloud or launch on AWS
Good first fit for fast-moving teams and product validation.
Self-hostedChoose self-hosted when deployment control is the requirement

Best when your organization cares about private networking, infrastructure ownership, internal integrations, or data and region policy.

  • Keep the same workflow model on your own infrastructure
  • Model license, storage, CDN, and infra separately
  • Good fit when buyer intent is already operationally mature
Good fit when control beats launch speed.
Use-case starting points

Start from the workload that sounds like your buyer, not from raw infrastructure terms

These are the patterns teams usually recognize first. Pick the one closest to your real workflow and we will load the calculator with matching assumptions for audience size, runtime, restream, and archive.

Church streaming

One SRT input, a few social outputs, replay archive

This is usually an audience-and-archive story first: weekly live hours, modest concurrency, two or three social destinations, and replay that stays available after the service.

20 live hours / month~450 concurrent viewers3 outputs30-day archive
Church streaming

Good when you want to price SRT contribution, restream, and archive together.

Virtual events

Public playback where viewer-hours dominate the decision

This is the classic workflow where buyer language should be viewers and watch-time first, then CDN and archive assumptions second. Peak audience and replay matter more than small runtime details.

36 live hours / month~2,200 concurrent viewers68-minute watch time45-day archive
Virtual events

Good when the fastest-moving cost is delivery, not the ingest server itself.

24/7 channel

Always-on delivery with fewer operational spikes

A 24/7 workflow is less about event ops and more about stable runtime, continuous delivery, and whether archive is actually needed or just assumed out of habit.

720 live hours / month~180 concurrent viewers1 outputArchive off by default
24/7 channel

Good when runtime economics matter more than launch-day complexity.

Internal or partner delivery

Private viewers, policy-sensitive environments, smaller audiences

This is where self-hosted starts becoming more attractive: lower public delivery pressure, more private networking, and higher sensitivity to deployment control and region policy.

60 live hours / month2 channels~120 concurrent viewersPrivate delivery
Internal / partner delivery

Good when you need to show why control changes the buying path.

Developer workflow

Browser playback and event delivery inside your own product

This is the right frame when pricing has to map to product usage: runtime, playback sessions, archive, and delivery provider assumptions all have to fit an API-led story.

48 live hours / month2 channels~900 concurrent viewersAPI-led delivery
API / product workflow

Good when engineering needs a buyer-facing estimate before infra design starts.

Quick estimate

Start with the workload. Let the infrastructure come second.

Use-case presets give you a fast buyer-facing estimate first: concurrent viewers, viewer-hours, live hours, restream outputs, recording, archive, and delivery provider. Advanced provider math stays visible, but it no longer runs the page.

Pricing estimator

Start with the workload, not the infrastructure diagram

Use a real live workflow first: hours, viewers, restream outputs, and archive needs. We will turn that into a cloud monthly estimate and a self-hosted cost shape.

Estimate mode
Decision focus
Open advanced assumptions for provider and infrastructure details.
Church streamingWeekly SRT ingest with a few social outputs and replay archive.
Cloud monthly estimate
Church streamingWeekly SRT ingest with a few social outputs and replay archive.

Start fast in managed cloud

$98 - $125/ month
Managed runtime benchmark$8
CDN / delivery$101
Archive storage$0

EU/NA standard delivery

Self-hosted cost shape
Church streamingSame workload, infrastructure-first view.

Control the stack, keep the same workflow model

Equivalent infrastructure benchmark$8
CDN and storage add-ons$101
Callaba license / supportChoose your plan

Self-hosted price is usually the combination of your infrastructure, your delivery/storage add-ons, and the Callaba self-hosted license that matches the control and support level you need.

Workload snapshot
Church streamingNumbers below should move when you load another workload.
Viewer-hours / month9K
Estimated unique viewers10.4K
Delivered traffic10,125 GB
Recommended nodes1
Restream traffic68 GB
Archive footprint23 GB-mo
Lean launchFastest path to a first live workflow
$88/mo

Good when launch speed matters more than deep optimization and you want the simplest cloud-first answer.

RecommendedThe estimate most teams should plan around
$112/mo

A safer midpoint for real operations once playback, archive, and a little buyer uncertainty are included.

Self-hosted shapeInfrastructure plus delivery and archive add-ons
$109/mo + license

Use this as the planning anchor when control matters and your own infra becomes part of the economics story.

Commercial proof

Anchor the estimate in a workflow buyers already recognize

The strongest pricing conversation is not about one line item. It is about whether a team can launch, deliver, monitor, and archive live events faster and more predictably once playback and transport sit in one system.

★★★★★
Review from a verified AWS customer
Reviewed on Dec 14, 2025Corporate events, webinars, monetization, and global live distribution

Improving live event automation has revealed strong low-latency streaming and cost savings

This is the review that matters commercially because it ties faster setup, easier operation, broader reach, and lower infrastructure cost to one live-events workflow rather than to a single isolated feature.

Primary use case

Corporate events and webinars with instant recording, gallery views, monetization, distribution, low-latency delivery, CDN support, and collaboration across production teams.

Low latencyInstant recordingCDNDRMCollaboration
Reported impact+33% productivity

Workflow launch and event operations move faster when ingest, playback, recording, and monitoring stop living in separate tools.

Reported impact+22% reach

Distribution and playback scale when the same live source can feed browser playback and multiple public destinations together.

Reported impact30 to 40% lower infrastructure costs

That matters because pricing conversations become buyer-friendly once the cost story is operational, not just technical.

What drives cost

Use buyer language first, then translate it into delivery and storage assumptions

Pricing becomes clear once you explain what changes the estimate fastest: audience delivery, runtime shape, archive policy, and how many outputs need to coexist around the same live contribution.

Audience

Viewer-hours change the shape of playback cost

For churches and virtual events, audience delivery is usually the first thing to price honestly. Concurrent viewers and watch duration tell the story faster than raw GB.

Runtime

Always-on and event-based workloads price differently

A 24/7 channel rewards steady infrastructure planning. Event-based workflows reward fast setup, shorter runtime, and burst-friendly delivery assumptions.

Archive

Recording and retention change storage faster than people expect

If you keep replay, clips, or compliance archives, storage policy matters almost as much as the live path. The right question is how long you keep it and where.

Provider assumptions

Make the provider math visible without letting it hijack the buying decision

These are the practical public benchmarks to keep nearby while reading the estimate. Use them as planning anchors, not as the only story.

CDN

Bunny Standard

$0.01/GB

A practical low-friction edge for churches, recurring services, webinars, and medium-size public delivery.

bunny.net CDN pricing
CDN

Bunny Volume

from $0.005/GB

Best when virtual events and 24/7 playback push volume high enough that edge delivery becomes the dominant cost.

bunny.net volume pricing
CDN

CloudFront Pro

$15/month

Useful when you want an AWS-first buyer story and bundled edge features up to 50 TB of monthly transfer.

AWS CloudFront pricing
Storage

Amazon S3 Standard

$23/TB-month

A strong planning benchmark for archive-heavy workflows, especially when the rest of the stack already lives in AWS.

AWS S3 pricing
Storage

Backblaze B2

$6/TB-month

A simpler archive economics story when you want cheaper replay and archive storage without an AWS-heavy posture.

Backblaze B2 pricing
Self-hosted formation

Self-hosted pricing is a stack decision, not a single number

The right self-hosted conversation is not only CPU and RAM. It is license, runtime benchmark, delivery at your audience size, storage and retention, and the support model your team actually needs.

License

Callaba self-hosted plan

This is the control plane: the workflow model, product surface, and support level that match your deployment and team maturity.

Infrastructure

Compute and networking benchmark

Use the cloud estimate as a planning reference for equivalent runtime capacity, then shape it around your own provider, region, redundancy, and security policy.

Delivery

Playback and edge delivery still matter

Self-hosted does not eliminate CDN economics. If the audience is public, playback and viewer-hours still drive delivery cost even when ingest is yours.

Storage

Archive policy decides the long tail

S3, Backblaze, and similar connectors are where replay, retention, and internal media operations become either efficient or quietly expensive.

FAQ

Answer the questions buyers ask before they commit

The goal is simple: help someone leave this page understanding what they should buy next and why the estimate moves the way it does.

How should churches think about monthly cost?

Start with one SRT contribution path, weekly live hours, two or three restream destinations, and whether replay archive matters. For most churches, delivery and archive matter more than huge infrastructure.

How should virtual events estimate CDN cost?

Use peak concurrent viewers and total viewer-hours first. Virtual events usually become CDN-led faster than they become infrastructure-led, especially when playback is public and replay is kept.

When does self-hosted make more sense than cloud?

Choose self-hosted when deployment control, networking policy, internal integrations, or data location matter enough that your team wants its own infrastructure economics and operational model.

Does restreaming change pricing materially?

Yes. One input becoming many outputs changes transport, runtime, and sometimes archive assumptions. Churches and event teams feel this quickly when they add YouTube, Facebook, internal monitoring, and backup outputs together.

Why show viewer-hours and not only GB?

Because buyer teams understand people and time faster than they understand transfer math. We still translate the workload into GB behind the estimate, but viewer-hours is the better planning language.

Can we start in cloud and move to self-hosted later?

Yes. That is one of the cleanest stories Callaba can tell. Start in cloud to prove the workflow, then move to self-hosted if control, economics, or policy begin to matter more than launch speed.

Next step

Take the path that matches the buying decision you already made

Use the estimate to move forward, not to sit in pricing mode forever. If the answer is speed, start in cloud. If the answer is control, continue into self-hosted planning.

Cloud

Start in cloud

Best when the fastest next move is proving the workflow and getting the first live delivery path online.

Self-hosted

Talk through self-hosted

Best when you already know that deployment control, policy, or your own infra economics matter enough to shape the answer.

Assisted planning

Send us your workload

Best when you want us to sanity-check a real church, event, internal delivery, or product/API workload before the buying path forks.