Move the same data.
Stop paying per row.

Airbyte prices on capacity, not data volume. Deploy in our cloud, your VPC, or on-prem, on any plan. Run two connections alongside Fivetran and compare the bill yourself.

239%

ROI, certified by Forrester

20%

of the Fortune 500 uses Airbyte

2M

pipelines synced daily

Trusted by data teams at

  • Carlsberg Group
  • Air Liquide
  • BTS
  • recall.ai
  • Wise
  • DataCamp

Side by side.

Deployment Model
Cloud and Hybrid Deployment
Pricing
Volume-based pricing
Number of Connectors
750+ sources
Custom Connectors
Connector SDK (Python) and Functions
Supported Destinations
Data warehouses, RDBMS and others
Security Certifications
SOC 1, SOC 2, ISO 27001, HIPAA BAA, GDPR, PCI DSS Level 1, HITRUST
Enterprise Features
SSO, RBAC, Audit logs, Multi-workspace
Support SLAs
Available
Python Development Capabilities
Connector SDK for custom Python connectors
Community Support
3000+ community members
Open Source Availability
No

The bill moved. Your data didn’t.

  • Tiering went per-connection.

    Since March 2025, volume discounts apply to each connection rather than across your account. Teams with many similar-sized connections pay more for the same data.

  • Deletes became billable.

    Since January 2026, rows deleted at the source count as monthly active rows.

  • Every connection has a floor.

    Since January 2026, standard connections carry a $5 monthly minimum, whether they move one row or a million.

Capacity, not rows.

Airbyte Pro and Enterprise Flex both price on capacity, essentially the speed and number of syncs. Row counts, connection counts, deletes, and backfills do not move the bill. When you need more throughput, you add capacity. The number stays where you set it.

Hybrid shouldn’t cost you a tier upgrade.

Enterprise Flex runs the data plane inside your VPC or on-prem while Airbyte manages the control plane. Records, credentials, and encryption keys stay in your environment. Airbyte sees configuration and job metadata only.

Fivetran deployment details taken from Fivetran’s documentation, August 2026.

At Fivetran, hybrid is a plan decision.

Hybrid Deployment requires an Enterprise or Business Critical plan, so where your data runs is settled by your contract before it is settled by your architecture.

And it covers a subset.

Fivetran flags connectors individually as “Hybrid capable,” so which of your sources can stay local depends on which ones they have enabled.

HVR moves databases and files only.

Their self-hosted replication product covers roughly 32 database and file technologies and no SaaS or API sources. HVR 5.7 reaches end of life on December 31, 2026, and HVR 6 is not compatible with 5.x.

All 700+ connectors run in your data plane.

There is no subset to check.

Four steps, and one thing nobody tells you.

  1. 01

    Inventory.

    List your Fivetran connections, monthly volumes, and the models and dashboards downstream of each.

  2. 02

    Parallel run.

    Stand up two or three low-risk connections in Airbyte alongside Fivetran, pointed at the same destination. Compare row counts and freshness for a couple of weeks.

  3. 03

    Phased cutover.

    Move connections in groups. Keep Fivetran running on each group until it validates.

  4. 04

    Provision as code.

    Define the remaining connections with the Terraform provider rather than clicking through them.

Your pipelines should outlive your vendor.

Airbyte Core is open source and free to self-host, forever. Core, Cloud, and Enterprise Flex run the same connectors and the same configuration, defined in code you own and can export with the Terraform provider. Move between them, or off Airbyte entirely, without rebuilding anything.

  • Read the code before you commit.

    Every connector in the catalog is open source and auditable, including the one syncing your production database.

  • Custom connectors are yours.

    Anything you build in Connector Builder moves with you between Cloud and Flex.

  • Configuration is code.

    Define connections with the Terraform provider and version them alongside the rest of your infrastructure.

Portability is not a clause in a contract. It is a property of the architecture.

Man with glasses and goatee smiling at camera in professional headshot

Mondor La Grange

Head of BI and Data Engineering, Kuda

"Unlike Fivetran’s credit-based system, Airbyte’s pricing model allows Kuda to forecast expenses accurately."

90%
reduction in latency
Learn more
Franziska Ibscher, woman with shoulder-length brown hair and white top, smiling at camera

Franziska Ibscher

Product Manager at Drivepoint

"Without Airbyte, we'd be stitching together bespoke connectors for every integration, which would slow us down dramatically. 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."

75%
of customers increased profitability
6.7%
EBITDA increase for customers
Learn more
Smiling bearded man in Nike athletic shirt laughing and looking to the side

Nate Chambers

Chief Product Officer

"Airbyte has massively accelerated our roadmap. What we thought would take 6+ months, we were testing in the first week of the beta program. They're shipping everything we need for agentic workflows, and launching new connections faster than we can build them into our product. The team is awesome, both technically and as humans. If you're building an AI product, you can stop rolling your own pipelines and start shipping."

80%
Time saved shipping integrations
60%
Token savings vs custom connectors
Maria Carrillo Minulina, Data Engineering Manager at Miro

Maria Carrillo Minulina

Data Engineering Manager at Miro

"We wanted to consolidate all of our ingestions into a single place, and do it in a more seamless manner where it would have less of a support burden on the team."

1
unified third-party ingestion layer
Zero
legacy Stitch pipelines left to maintain
Learn more
Jyotish Bora, VP of Engineering at DataGOL

Jyotish Bora

VP of Engineering at DataGOL

"The patterns are consistent and the abstraction layer is well-defined, so standing up a new connector takes hours, not days."

700+
connectors for client sources
1
centralized ingestion platform
Learn more
Sean Carver, smiling man with beard wearing blue jacket in outdoor setting with warm lighting

Sean Carver

Director of Data at Petvisor

"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."

20+
data sources integrated
85%+
faster source integration
Learn more
Smiling woman with glasses and dark hair wearing patterned sweater in shopping mall

Amy Zhao

Senior Manager of Data Engineering at Peloton

"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."

3→1
ingestion platforms consolidated
1 wk
Shopify + Stripe historical sync
Learn more

Start with two connections.

Free to start. Run it alongside Fivetran for as long as you need.