PIPELINE-FIRST DOWNLINK
Direct-to-Cloud Downlink
Downlink data directly into your cloud environment—so processing starts immediately after contact. Procure delivery, security, and scheduling as one workflow.
Reduce ops complexity
Avoid running manual receiver infrastructure during every contact
Automate time-to-product
Trigger processing pipelines as data lands in storage
Procurement clarity
Separate antenna time from delivery and pipeline requirements
EO / SAR / RF / Science payload / Other
Cloud storage / Secure endpoint / Hybrid
Minutes / Hours / Next-day
GB/day or GB/contact (estimate + buffer)
Encryption + access controls + audit logs
On-demand / Reserved / Guaranteed blocks
What is direct-to-cloud downlink?
Direct-to-cloud downlink is an architecture where satellite contact data is delivered into a cloud environment (storage or secure endpoints) without requiring the customer to operate manual receiver infrastructure during each pass. This supports automated processing pipelines and faster time-to-product for payload data.
Contacts + scheduling
Delivery layer (cloud storage/endpoints)
Processing pipeline (automations triggered by new data)
HOW IT WORKS
From contact to cloud to processing.
A direct-to-cloud system treats downlink as a pipeline: schedule the contact, deliver data into storage/endpoint, then trigger processing automatically.
1
Define mission profile
Band, data rate, regions, and minimum contact durations.
2
Choose delivery target
Cloud storage, secure endpoint, or cross-region delivery strategy.
3
Reserve contacts
Book on-demand or reserved windows based on urgency and cadence.
4
Deliver securely
Encrypt data, enforce access controls, and maintain audit logs.
5
Trigger processing
Automate ingestion, decoding, and product generation from storage events.
Vendor types that support cloud delivery.
Direct-to-cloud can be offered by cloud-integrated ground services, networks that provide secure delivery endpoints, or third-party pipeline layers.
Cloud-integrated ground services
Best for
Integrated booking + delivery workflows
Typical pricing
Antenna time + delivery/storage/egress
What you'll need to provide
Cloud account, IAM/role concepts, bucket/endpoints
Ground networks with secure delivery
Best for
Delivery to secure endpoints and multi-region coverage
Typical pricing
Per pass/minute + delivery add-ons
What you'll need to provide
Endpoint specs, encryption requirements, regions
Dedicated capacity + private delivery
Best for
Mission-critical delivery with strict SLAs
Typical pricing
Reserved blocks/leases + private delivery costs
What you'll need to provide
Term commitments, security/compliance constraints
Pipeline/orchestration platforms
Best for
Automation across multiple vendors and data formats
Typical pricing
Software license + provider costs
What you'll need to provide
Integration and workflow requirements
THE CHECKLIST
Direct-to-cloud procurement checklist.
A checklist for selecting downlink that lands cleanly in your processing environment.
Delivery architecture
• Cloud storage vs secure endpoints vs hybrid
• Cross-region delivery and where processing will run
• Data formats and packaging (pcap, decoded products, custom formats)
Latency and automation
• Delivery cadence during contact vs post-contact batch delivery
• Triggering mechanisms for automated processing
• Operational reporting (delivered volume, errors, retries)
Security
• Encryption in transit and at rest
• Access control model and audit logging
• Key handling and separation of duties
Scheduling + capacity
• On-demand vs reserved windows for predictable delivery
• Conflict handling and priority rules
• Minimum viable contact duration constraints
Cost model clarity
• Separate antenna-time costs from delivery/storage/egress
• Overage handling and burst pricing
• Included support tier and escalation SLAs
Direct-to-cloud use cases.
Automated EO product generation
Trigger decoding and analytics pipelines as data lands.
Near-real-time tasking loops
Shorten time from collection to insight by eliminating manual steps.
Campaign burst processing
Scale processing during high-volume windows without manual receiver operations.
Multi-satellite ingestion
Standardize delivery into one cloud region while scheduling globally.
Secure mission environments
Deliver into controlled networks with auditability and access controls.
Pricing components for direct-to-cloud downlink.
Antenna time (minutes/passes)
Primary capacity cost
Reserved capacity improves predictability and often unit rates
MOST POPULAR
Delivery layer
Storage/endpoint delivery costs
Cross-region delivery and secure transport can add cost
Processing pipeline
Compute and decoding costs
Automation reduces manual ops but introduces platform costs
Support + SLA
24/7 support tiers
Mission-critical guarantees and incident response
Direct-to-cloud is usually cheaper operationally because it reduces manual receiver management and accelerates automated processing. Compare total cost of ownership, not just antenna minutes.
Direct-to-cloud downlink FAQs
What does “direct-to-cloud” actually mean?
It means contact data is delivered into a cloud environment (storage or secure endpoints) without requiring you to run manual receiver infrastructure during each pass.
Does direct-to-cloud reduce latency?
Often, yes—because delivery is integrated into automated pipelines. The end-to-end latency still depends on contact availability, routing, and processing design.
How do we price direct-to-cloud properly?
Separate pricing into: antenna time, delivery layer (storage/endpoint), and processing compute. Then compare vendors on included support/SLA and delivery guarantees.
Do we still need ground software?
You may still need mission control and decoding steps, but direct-to-cloud reduces the need for per-contact receiver operations and enables automation.
What is the biggest failure mode?
Treating delivery as an afterthought. Procurement must define delivery targets, formats, security requirements, and automation expectations upfront.
How can Full Orbit help?
We turn your delivery requirements into a quote-ready brief and match you with vendors that can deliver into your pipeline—then return 2–3 comparable quotes.