Airbyte vs Rivery (2026):
Boomi Data Integration Pricing, CDC & Alternatives

Updated Oct 26, 2026

Airbyte
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Key takeaways

  • Choose Airbyte: for 700+ connectors, published pricing that doesn't charge per execution or per megabyte, CDC at no premium, and self-hosted, hybrid or on-prem deployment.

  • Choose Rivery (Boomi Data Integration): if you want ingestion, SQL and Python transformations, orchestration and reverse ETL in one managed cloud tool, or you're standardizing on Boomi's integration platform.

  • What changed in 2026: Boomi acquired Rivery in December 2024 and now sells it as Boomi Data Integration. Credits were renamed from Rivery Pricing Units (RPUs) to Boomi Data Units (BDUs), listed at $0.90 each on monthly billing. Log-based CDC uses credits at twice the standard replication rate, and the product roadmap now sits with Boomi.

Rivery is a cloud ELT platform that bundles ingestion, transformation, orchestration and reverse ETL, and since Boomi acquired it in December 2024 it's sold as Boomi Data Integration, billed in Boomi Data Unit credits. Airbyte is an independent data movement platform with 700+ prebuilt connectors that load SaaS, API and database data into any destination, with a free self-hosted edition, cloud plans from $20 a month, and hybrid or on-prem deployment. The key differences are how each charges as you sync more often or turn on CDC, how many sources each covers, and where your pipelines can run.

Airbyte vs Rivery at a glance

AirbyteRivery (Boomi Data Integration)
CategoryData movement (ELT and CDC) platformCloud ELT with transformation, orchestration and reverse ETL
OwnershipIndependentBoomi, since December 2024; sold as Boomi Data Integration
Prebuilt connectors700+, including SaaS APIs, databases, files and unstructured sources200+ managed connectors, plus a custom REST connector
Custom connectorsNo-code Connector Builder with AI assist, low-code CDK, Python CDKCustom API connections and a GenAI connector agent
Pricing modelVolume-based (Standard, Plus) or capacity-based Data Workers (Pro, Enterprise Flex)Consumption credits (BDUs) charged per execution and per megabyte
Entry priceFree (Core); $20/month (Standard)$0.90 per BDU credit on the Base plan, monthly billing
Change data captureLog-based CDC on every plan, at no premiumLog-based CDC at 2 credits per 100MB, twice the standard rate; Oracle CDC on Enterprise
TransformationNative dbt, Airflow, Dagster and Prefect integrations; you chooseBuilt-in SQL; Python on Professional and above
Reverse ETLNot the core focusIncluded
DeploymentSelf-hosted (Core), managed cloud, hybrid or on-prem (Enterprise Flex) on one codebaseManaged cloud SaaS only
Private networking and SSOAvailable on enterprise plansPrivateLink and SSO on Pro Plus; VPN tunnels on Enterprise
Python and API accessPyAirbyte, Airbyte API, Terraform providerAPI and CLI on Professional and above
Open sourceYesNo
Community25,000+ members, 1,000+ contributorsVendor-led, now part of Boomi

About Airbyte

Airbyte is the open standard for data movement, used by 18% of the Fortune 500. It replicates data from 700+ sources into warehouses, lakehouses, databases and AI context stores, and runs self-hosted, fully managed, or hybrid inside your own boundary.

About Rivery

Rivery is a cloud ELT platform that combines data ingestion, SQL and Python transformations, workflow orchestration and reverse ETL in one interface, with prebuilt "starter kits" for common pipelines. In December 2024, Boomi acquired Rivery, in a deal reported at about $100 million, and now sells it as Boomi Data Integration alongside its iPaaS, API management and AI agent products. The product continues with the same core feature set, but pricing units, branding and roadmap decisions now belong to Boomi.

What the Boomi acquisition means for Rivery customers

For existing customers, day-to-day pipelines haven't changed much. What has changed is the context around them: credits are now Boomi Data Units, listings and documentation are moving to the Boomi brand, and Rivery's future depends on how Boomi positions data integration within a much larger iPaaS portfolio. Teams that chose Rivery as an independent, focused ELT tool now buy from an iPaaS vendor.

If you're reviewing your Rivery contract or a renewal, it's a natural moment to compare total cost and lock-in with an open, independent alternative.

Pricing: per-execution credits vs. capacity

Rivery publishes its credit rules, which makes costs calculable but also shows how many dials drive the bill:

  • API sources: 0.5 credits per output table, per execution, plus 0.5 for each additional 50MB.
  • Database, file and webhook replication: 1 credit per 100MB transferred.
  • Log-based CDC: 2 credits per 100MB, twice the standard rate.
  • Orchestration workflows: 0.5 credits per execution.

Plans run from Base (pay-as-you-go at $0.90 per credit, one environment, two users) through Professional (Python, CI/CD, API and CLI), Pro Plus (SSO, SCIM, PrivateLink, high-frequency syncs) and Enterprise (VPN tunnels, Oracle CDC, enterprise SLA), with higher tiers sales-led.

Because API sources are charged per table per run, sync frequency multiplies cost. Syncing 10 tables from one API every hour is 10 × 24 × 30 × 0.5 = 3,600 credits a month, about $3,240 at the Base rate. Replicating 100GB of database changes with CDC is roughly 2,048 credits, about $1,840, versus about $920 for the same volume without CDC.

Airbyte doesn't charge per execution or per megabyte on capacity plans. Core is free to self-host, Cloud starts at $20/month (Standard) and $189/month (Plus), and Pro and Enterprise Flex price on Data Workers, dedicated compute capacity, so syncing more often or switching on CDC doesn't change the bill.

Connectors: 200+ vs. 700+

Rivery offers 200+ managed connectors focused on popular SaaS apps, marketing platforms and databases, plus a custom REST connector and a GenAI agent that helps configure new API sources.

Airbyte's catalog covers 700+ sources and destinations, including the long tail of SaaS tools, APIs and files. When a source is missing, the Connector Builder generates a dedicated connector from API docs with AI assist, usually in minutes, and engineers can use the low-code or Python CDK. Because connectors are open source, you can also fix or extend any existing connector yourself.

Transformation and orchestration: built in vs. your choice

Rivery's "logic rivers" let you chain SQL and Python transformations and orchestrate workflows inside Rivery, which is convenient if you want one tool. The trade-off is that logic lives in Rivery's environment, Python requires a higher tier, and every workflow execution consumes credits.

Airbyte loads raw data into your warehouse or lakehouse and integrates natively with dbt Core, dbt Cloud, Airflow, Dagster and Prefect, so transformation logic stays portable and version-controlled, and orchestration runs in the tool you already use.

Deployment and data residency

Rivery runs only as managed cloud SaaS. Private connectivity options such as PrivateLink and VPN tunnels are available on Pro Plus and Enterprise, but pipelines always run in Rivery's environment.

Airbyte runs four ways on one codebase: free self-hosted Core, managed cloud, hybrid with an Airbyte-managed control plane, or fully on-prem and multi-region with Enterprise Flex. Data can stay entirely inside your own boundary, which matters for data residency, regulated industries and air-gapped environments.

Openness and developer experience

Rivery is closed source, with an API and CLI on Professional and above.

Airbyte's core is open source, with 1,000+ contributors and 25,000+ community members. Engineers manage pipelines as code with the Airbyte API and Terraform provider, and PyAirbyte runs connectors directly from Python or notebooks to feed AI applications and agents. You can inspect exactly how every connector handles your data.

Where Rivery leads

Rivery is a strong fit for teams that want ingestion, transformation, orchestration and reverse ETL in one managed tool with prebuilt starter kits, and for organizations already standardized on Boomi that want data integration from the same vendor as their iPaaS.

When to choose Airbyte vs Rivery

Your situationBetter fit
Your Rivery bill grows with sync frequency or table countAirbyte (capacity-based)
You need log-based CDC without paying twice the replication rateAirbyte
You need sources outside a 200-connector catalogAirbyte
You need to self-host, run hybrid or keep data fully on-premAirbyte
You want an independent, open-source data movement layer rather than part of an iPaaS suiteAirbyte
You already use dbt and an orchestrator and want ingestion to plug into themAirbyte
You want ingestion, SQL/Python transformations and reverse ETL in one managed toolRivery
You're standardized on Boomi and want data integration from the same vendorRivery

FAQs

Yes. Airbyte offers 700+ connectors, CDC on every plan at no premium, a free self-hosted edition and Cloud from $20/month, plus hybrid and on-prem deployment. Rivery suits teams that want ingestion, transformation and reverse ETL bundled in one managed tool.

No. Boomi acquired Rivery in December 2024 and now sells it as Boomi Data Integration. The product continues, but branding, pricing units and roadmap are now Boomi's.

Rivery charges in Boomi Data Unit (BDU) credits, listed at $0.90 each on the Base plan with monthly billing. API sources use 0.5 credits per table per execution, database replication 1 credit per 100MB, and log-based CDC 2 credits per 100MB. Higher tiers are sales-led.

Rivery charges log-based CDC at 2 credits per 100MB, twice the rate for standard database replication. Airbyte includes log-based CDC on every plan without a separate rate.

Rivery Pricing Units (RPUs) were renamed Boomi Data Units (BDUs) after the acquisition. The consumption rules stayed the same.

No. Rivery is managed cloud SaaS, with private networking options on higher tiers. Airbyte Core is free to self-host, and Enterprise Flex runs hybrid or fully on-prem.

Map each Rivery source river to an Airbyte connector pointed at the same warehouse, move logic rivers into dbt or SQL and your orchestrator, and run both in parallel to compare row counts before cutover. Keep or replace Rivery's reverse ETL flows separately.