사람들이 실제로 구매하는 워크플로를 기준으로 가격을 봅니다: SRT ingest, 브라우저 재생, 다중 목적지 전달, recording, archive, 운영 가시성.
셀프호스팅 보기Best when the fastest path is launch speed, managed operations, and a cleaner first estimate for playback, archive, and distribution.
Best when your organization cares about private networking, infrastructure ownership, internal integrations, or data and region policy.
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.
이건 대체로 audience와 archive의 이야기입니다: 주간 라이브 시간, 보통 수준의 동시 시청, 몇 개의 소셜 출력, 이벤트 후 리플레이.
여기서는 먼저 시청자 수와 시청 시간, 그다음 CDN과 archive를 봐야 합니다.
스포츠 워크플로는 더 긴 시청 시간, 더 큰 동시 시청 변동, 엣지 전달 성능에 대한 민감도를 함께 가집니다.
이 경우는 이벤트 운영보다 지속 런타임 경제성이 더 중요합니다.
공개 전달보다 제어와 정책이 중요하면 셀프호스팅이 더 매력적입니다.
가격을 제품 사용량과 연결해야 할 때 맞는 프레임입니다.
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.
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.
EU/NA standard delivery
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.
Good when launch speed matters more than deep optimization and you want the simplest cloud-first answer.
A safer midpoint for real operations once playback, archive, and a little buyer uncertainty are included.
Use this as the planning anchor when control matters and your own infra becomes part of the economics story.
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.
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.
Corporate events and webinars with instant recording, gallery views, monetization, distribution, low-latency delivery, CDN support, and collaboration across production teams.
Workflow launch and event operations move faster when ingest, playback, recording, and monitoring stop living in separate tools.
Distribution and playback scale when the same live source can feed browser playback and multiple public destinations together.
That matters because pricing conversations become buyer-friendly once the cost story is operational, not just technical.
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.
For churches, virtual events, and sports, audience delivery is usually the first thing to price honestly. Concurrent viewers and watch duration tell the story faster than raw GB.
A 24/7 channel rewards steady infrastructure planning. Event-based workflows reward fast setup, shorter runtime, and burst-friendly delivery assumptions.
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.
These are the practical public benchmarks to keep nearby while reading the estimate. Use them as planning anchors, not as the only story.
A practical low-friction edge for churches, recurring services, webinars, and medium-size public delivery.
bunny.net CDN pricingBest when virtual events, sports, and 24/7 playback push volume high enough that edge delivery becomes the dominant cost.
bunny.net volume pricingUseful when you want an AWS-first buyer story and bundled edge features up to 50 TB of monthly transfer.
AWS CloudFront pricingA strong planning benchmark for archive-heavy workflows, especially when the rest of the stack already lives in AWS.
AWS S3 pricingA simpler archive economics story when you want cheaper replay and archive storage without an AWS-heavy posture.
Backblaze B2 pricingThe 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.
This is the control plane: the workflow model, product surface, and support level that match your deployment and team maturity.
Use the cloud estimate as a planning reference for equivalent runtime capacity, then shape it around your own provider, region, redundancy, and security policy.
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.
S3, Backblaze, and similar connectors are where replay, retention, and internal media operations become either efficient or quietly expensive.
The goal is simple: help someone leave this page understanding what they should buy next and why the estimate moves the way it does.
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.
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.
Start with live hours, audience spikes, average watch time, replay retention, and how many public destinations need the same game feed. Sports costs tend to move first in delivery and archive, not only runtime.
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.
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.
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.
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.
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.
Best when the fastest next move is proving the workflow and getting the first live delivery path online.
Best when you already know that deployment control, policy, or your own infra economics matter enough to shape the answer.
Best when you want us to sanity-check a real church, sports, event, internal delivery, or product/API workload before the buying path forks.
