Outbound-only connections
No inbound firewall rules. The data plane initiates every connection to the control plane.
Hybrid Deployment
Own your data plane.
Not the ops.
Airbyte Flex offers a hybrid deployment model, with Airbyte's data plane running in your cloud, VPC, or on-prem environment. You get 700+ connectors and a fully managed experience, while your data never touches our servers.
Trusted by data teams at
239%
ROI, certified by
20%
of the F500 uses Airbyte
2M
pipelines synced daily
Architecture
How hybrid deployment works.
In a hybrid deployment, the data plane runs in your environment, not ours. We run the control plane so you don't have to. Your records, credentials, and keys stay inside your environment; the control plane receives configuration and job metadata only.
Your environment
DataConnectorsCredentialsKeysEncryption keys
Outbound
Metadata
Airbyte
Control planeOrchestration
MonitoringUI
Where your data lives
Stays in your environment
- Your records
- Credentials and secrets
- Encryption keys
- Network access
Reaches Airbyte
- Pipeline configuration
- Job status and logs metadata
- Sync schedules
Customer-managed keys
Bring your own KMS. Airbyte never holds credentials or encryption material.
Region pinning
Pin the hybrid deployment data plane to a specific cloud, region, or on-prem site to satisfy residency requirements.
Why hybrid deployment
A better way to run
sovereign pipelines.
Without hybrid deployment
Self-hosted tooling
- Security scans and approval of new technology
- Installing and manually patching software
- Owning upgrades and incident response
DIY pipelines
- Specialized resources and skills
- Build, QA, troubleshooting, and ongoing maintenance
- Engineering time pulled from other projects
SaaS-only ELT
- Data leaves your environment
- Security reviews stall procurement
- Sovereignty mandates unmet
With hybrid deployment
- Runs in your environment on your existing infrastructure
- 700+ connectors with the control plane managed by Airbyte
- Supported and maintained by Airbyte's team
Deployment models
Cloud, hybrid deployment, or open source.
Who runs the data plane
Airbyte
You
You
Who runs the control plane
Airbyte
Airbyte
You
Where your data lives
Airbyte's cloud
Your environment
Your environment
Who owns upgrades
Airbyte
Airbyte
You
Compliance fit
Standard
Regulated, sovereign
Depends on your ops
Agents on Sovereign Data
Build agents where your data lives.
The same hybrid deployment that moves your data can run your AI.
Bring your own models: open-weight, fine-tuned, or fully self-hosted. Your agents' context never leaves your environment either.
Sovereignty & Compliance
Sovereign by architecture,
not by promise.
Compliance is the downstream consequence of hybrid deployment, not a contractual add-on.
Financial services
Keep customer records, PII, and transaction data inside your regulated network segment while still moving them at scale.
Healthcare
Move PHI between EHRs, warehouses, and analytics without a HIPAA-covered vendor ever touching the payload.
Government and defense
Keep classified data, citizen PII, and case records inside agency boundaries without a vendor ever touching the payload.
Built for the enterprise
Enterprise capabilities.
SSO & RBAC
SAML and OIDC single sign-on with role-based access down to the workspace and connection level.
Audit logging
Every configuration change, sync run, and access event is captured and streamable to your SIEM.
Multi-region
A hybrid deployment runs data planes in multiple regions from a single control plane and pins workloads to residency zones.
Uptime SLA
99.9% control-plane availability, backed by financial credits.
Capacity-based pricing
Pay for sync frequency, not per-row or per-GB. Costs stay flat as volume grows.
Premium support
24×7 response with a named solutions architect and defined incident response times.
Raman Singh
Tech Lead at Symend
With our legacy framework, if one of the pipelines fails for one client, it will stop everything for the rest of our clients. But with Airbyte, things are run in parallel because of the platform’s distributed nature, which means that we can process multiple clients at the same time without impacting performance.
Sean Carver
Director of Data
The real ROI is in our ability to iterate quickly, especially at our increasing scale. At the end of the day, you want a tool like that to just work. We can forget about it and know that it's configured and it's connecting and it's working. That hands-free capability is a big appeal for the platform.
Amy Zhao
Sr. Manager of Data Engr.
What's different from Stitch Data or Informatica is the way that we can configure Airbyte connections and Airbyte entities through code. That's a huge plus to us as data engineers, because we are used to checking code and being able to manage changes from Github.
Mondor La Grange
Head of BI and Data Engr.
Unlike Fivetran's credit-based system that created budget uncertainty, Airbyte's pricing model allows Kuda to forecast expenses accurately and avoid surprise bills.
Franziska Ibscher
PM at Drivepoint
With Airbyte, our AI features have fresh, reliable data to work with. Whether we're running automated financial models or powering AI agents that answer questions about a brand's business, none of it works without trustworthy data flowing in, and that's what Airbyte gives us.
Andres Bravo Gorgonio
Director of Machine Learning & Data
With the quick and easy Airbyte setup process and with a few answers from the Airbyte community in Slack, Intellum was able to launch the new platform quickly and efficiently within two weeks. Airbyte worked out-of-the-box, and there was no long setup protocol like other tools.
Raman Singh
Tech Lead at Symend
With our legacy framework, if one of the pipelines fails for one client, it will stop everything for the rest of our clients. But with Airbyte, things are run in parallel because of the platform’s distributed nature, which means that we can process multiple clients at the same time without impacting performance.
Sean Carver
Director of Data
The real ROI is in our ability to iterate quickly, especially at our increasing scale. At the end of the day, you want a tool like that to just work. We can forget about it and know that it's configured and it's connecting and it's working. That hands-free capability is a big appeal for the platform.
Amy Zhao
Sr. Manager of Data Engr.
What's different from Stitch Data or Informatica is the way that we can configure Airbyte connections and Airbyte entities through code. That's a huge plus to us as data engineers, because we are used to checking code and being able to manage changes from Github.
Mondor La Grange
Head of BI and Data Engr.
Unlike Fivetran's credit-based system that created budget uncertainty, Airbyte's pricing model allows Kuda to forecast expenses accurately and avoid surprise bills.
Franziska Ibscher
PM at Drivepoint
With Airbyte, our AI features have fresh, reliable data to work with. Whether we're running automated financial models or powering AI agents that answer questions about a brand's business, none of it works without trustworthy data flowing in, and that's what Airbyte gives us.
Andres Bravo Gorgonio
Director of Machine Learning & Data
With the quick and easy Airbyte setup process and with a few answers from the Airbyte community in Slack, Intellum was able to launch the new platform quickly and efficiently within two weeks. Airbyte worked out-of-the-box, and there was no long setup protocol like other tools.
Pricing model
You shouldn't pay more because your data volume spikes.
Airbyte Flex, a hybrid deployment, is priced on capacity, not volume, so costs stay predictable as data grows.
Frequently asked questions.
Didn't find your answer? Please don't hesitate to reach out.
What is Airbyte hybrid deployment?
What plans does Airbyte offer, and how do they differ?
Can hybrid deployment run on-premises?
Which clouds and regions does hybrid deployment support?
How do upgrades work on hybrid deployment?
How is hybrid deployment different from self-managing open-source Airbyte?
Can I run agents and my own models on hybrid deployment?