Softwr

Databases · head to head

Fivetran HVR vs Apache Airflow

Fivetran HVR logo

Fivetran HVR

Databases

Log-based change data capture for database replication and synchronization

From
On request
Rated
-
Full reviewWebsite
Apache Airflow logo

Apache Airflow

Databases

Programmatically author, schedule and monitor data workflows in Python

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Apache Airflow has a free tier, so it costs nothing to try first.
  • Each has a real cost: Fivetran HVR pricing not published separately; part of Fivetran's usage model; Apache Airflow self-hosting is genuinely heavy: scheduler, metadata database, workers and executor choice are a standing operational job
  • They diverge on capability: Fivetran HVR covers Log-based change capture, Apache Airflow covers Pipelines as Python.

Where they differ

Only the attributes on which Fivetran HVR and Apache Airflow actually diverge.

Attributes where Fivetran HVR and Apache Airflow differ
AttributeFivetran HVRApache Airflow
Starting priceOn requestFree
Pricing modelUsage-based, integrated with Fivetran billingOpen source, no licence fee; managed services billed separately
Free tierNoYes
PlatformsData Warehouse, Data Lake, Operational DatabasesLinux, Docker, Kubernetes, Self-hosted
Founded2012Unknown

Identical on both: user rating (Not yet rated), category (Databases).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Fivetran HVR

  • Log-based change capture
  • Real-time replication
  • Schema evolution handling
  • Multi-table consistency
  • Zero-impact monitoring
  • Fivetran integration

Only in Apache Airflow

  • Pipelines as Python
  • Web UI
  • Cloud provider packages
  • Jinja templating
  • Retries and dependencies
  • Extensible operators

What people use each for

The jobs each tool is most often brought in to do.

Fivetran HVR

  • Real-time database replication to data warehousesnot Apache Airflow
  • Maintaining operational copies for analyticsnot Apache Airflow
  • Disaster recovery and business continuitynot Apache Airflow
  • Feeding AI systems with fresh governed datanot Apache Airflow

Apache Airflow

  • Scheduling nightly ETL where step order and retries matternot Fivetran HVR
  • Coordinating machine learning training and evaluation runsnot Fivetran HVR
  • Orchestrating dbt runs alongside extraction and loadingnot Fivetran HVR
  • Replacing a sprawl of cron jobs with dependencies and visible run historynot Fivetran HVR

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Fivetran HVR

  • Pricing not published separately; part of Fivetran's usage model
  • Requires Fivetran relationship for implementation
  • Limited standalone documentation and community resources
  • May be overkill for simple batch replication needs
  • Competitive offerings provide more transparent per-connector pricing

Apache Airflow

  • Self-hosting is genuinely heavy: scheduler, metadata database, workers and executor choice are a standing operational job
  • Built for scheduled batch work, and a poor fit for event-driven or sub-minute latency pipelines
  • Because DAGs are Python that the scheduler parses continuously, expensive top-level code in a DAG file slows the whole scheduler
  • Local development and testing of DAGs is awkward compared with newer orchestrators designed with it in mind

Pricing, plan by plan

Fivetran HVR

On request

No published plan breakdown. See the Fivetran HVR review.

Apache Airflow

Free
  • Apache AirflowFree
    • Full scheduler and web UI
    • All provider packages
    • No task or DAG limits

Which should you pick?

Choose Fivetran HVR if

  • You need log-based change capture.
  • You work on Data Warehouse, Data Lake, Operational Databases.
  • You also want real-time replication.
Fivetran HVR review

Choose Apache Airflow if

  • You need pipelines as python.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes, Self-hosted.
  • You also want web ui.
Apache Airflow review

Questions people ask

Is Fivetran HVR or Apache Airflow better?
Neither clearly leads. Fivetran HVR starts at On request and Apache Airflow at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Fivetran HVR or Apache Airflow?
Apache Airflow has a free tier; the other does not. Paid plans start at On request for Fivetran HVR and Free for Apache Airflow.
Does Fivetran HVR or Apache Airflow run on more platforms?
Fivetran HVR runs on Data Warehouse, Data Lake, Operational Databases. Apache Airflow runs on Linux, Docker, Kubernetes, Self-hosted.
Can I use Apache Airflow for free?
Yes. Apache Airflow has a free tier, so you can try it without paying. Fivetran HVR starts at On request.
What is Fivetran HVR best used for?
Fivetran HVR is most often used for real-time database replication to data warehouses, maintaining operational copies for analytics, disaster recovery and business continuity, feeding ai systems with fresh governed data. Of those, real-time database replication to data warehouses and maintaining operational copies for analytics are not what Apache Airflow is typically brought in for.
What can Fivetran HVR do that Apache Airflow cannot?
Fivetran HVR covers Log-based change capture, Real-time replication, Schema evolution handling, Multi-table consistency. Apache Airflow covers Pipelines as Python, Web UI, Cloud provider packages, Jinja templating.

Answered from the vendors’ own pages

Fivetran HVR: What databases does Fivetran HVR support?

HVR supports major databases including Oracle, SQL Server, PostgreSQL, MySQL, and others that emit transaction logs.

Source
Apache Airflow: Is Apache Airflow free?

Yes. Airflow is open source under the Apache Software Foundation with no licence fee. Costs are the infrastructure to run it, or a managed service such as Google Cloud Composer or Amazon MWAA.

Fivetran HVR: Is HVR part of standard Fivetran pricing?

Yes, HVR is integrated into Fivetran's usage-based pricing model with standard per-row-synced and transformation costs.

Source
Apache Airflow: What language are Airflow workflows written in?

Python. A workflow is a Python file, so standard language features including loops and datetime handling can generate tasks dynamically, with no XML or command-line configuration.

Apache Airflow: Is Airflow suitable for real-time pipelines?

Not really. Airflow is designed for scheduled batch orchestration. Event-driven or sub-minute work is better served by a streaming platform such as Kafka or a purpose-built streaming engine.

Apache Airflow: What are the main alternatives to Airflow?

Dagster and Prefect are the two most commonly weighed against it, both newer and both designed around the local development and testing experience Airflow is criticised for.

Share

Related pages

More on Fivetran HVR

More on Apache Airflow

Keep looking

Other head to heads