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Databases · head to head

Apache Airflow vs ScyllaDB

Apache Airflow logo

Apache Airflow

Databases

Programmatically author, schedule and monitor data workflows in Python

From
Free
Rated
-
Full reviewWebsite
ScyllaDB logo

ScyllaDB

Databases

The real-time big data database compatible with Cassandra

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Apache Airflow self-hosting is genuinely heavy: scheduler, metadata database, workers and executor choice are a standing operational job; ScyllaDB enterprise tier requires custom quote from sales
  • They diverge on capability: Apache Airflow covers Pipelines as Python, ScyllaDB covers Cassandra Compatible.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Apache Airflow and ScyllaDB actually diverge.

Attributes where Apache Airflow and ScyllaDB differ
AttributeApache AirflowScyllaDB
Pricing modelOpen source, no licence fee; managed services billed separatelyusage-based
PlatformsLinux, Docker, Kubernetes, Self-hostedLinux, Docker, Kubernetes, Web
FoundedUnknown2015

Identical on both: starting price (Free), free tier (Yes), 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 Apache Airflow

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

Only in ScyllaDB

  • Cassandra Compatible
  • DynamoDB Compatible
  • 10x Throughput
  • Low Latency
  • Auto-tuning
  • Lightweight Transactions
  • Change Data Capture
  • Cassandra Drivers

What people use each for

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

Apache Airflow

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

ScyllaDB

  • Real-time applicationsnot Apache Airflow
  • Content managementnot Apache Airflow
  • User profilesnot Apache Airflow
  • Mobile backendsnot Apache Airflow
  • Cachingnot Apache Airflow

Where each one falls short

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

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

ScyllaDB

  • Enterprise tier requires custom quote from sales
  • Pricing varies by cloud provider, storage, and instance configuration
  • Contracts available but commitment required for subscription discounts

Pricing, plan by plan

Apache Airflow

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

ScyllaDB

Free
  • ScyllaDB Cloud Standard$null/variable
    • Usage-based billing: vCPU, RAM, NVMe SSD storage
    • 2-hour P1 support response time
    • 99.9% uptime SLA
  • ScyllaDB Cloud Professional$null/variable
    • Enterprise-grade scalability
    • 1-hour P1 support response
    • Enhanced features included
  • ScyllaDB Cloud Premium$null/variable
    • Custom security and networking
    • 15-minute P1 support response
    • 99.99% uptime SLA
  • ScyllaDB Enterprise$null/quote
    • Self-managed deployment
    • On-premise or private cloud
    • Custom quote required

Which should you pick?

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

Choose ScyllaDB if

  • You need cassandra compatible.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes, Web.
  • You also want dynamodb compatible.
ScyllaDB review

Questions people ask

Is Apache Airflow or ScyllaDB better?
Neither clearly leads. Apache Airflow starts at Free and ScyllaDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Airflow or ScyllaDB?
Apache Airflow starts at Free and ScyllaDB at Free.
Does Apache Airflow or ScyllaDB run on more platforms?
Apache Airflow runs on Linux, Docker, Kubernetes, Self-hosted. ScyllaDB runs on Linux, Docker, Kubernetes, Web.
Can I use Apache Airflow for free?
Both have a free tier, so you can try either at no cost before committing.
What is Apache Airflow best used for?
Apache Airflow is most often used for scheduling nightly etl where step order and retries matter, coordinating machine learning training and evaluation runs, orchestrating dbt runs alongside extraction and loading, replacing a sprawl of cron jobs with dependencies and visible run history. Of those, scheduling nightly etl where step order and retries matter and coordinating machine learning training and evaluation runs are not what ScyllaDB is typically brought in for.
What can Apache Airflow do that ScyllaDB cannot?
Apache Airflow covers Pipelines as Python, Web UI, Cloud provider packages, Jinja templating. ScyllaDB covers Cassandra Compatible, DynamoDB Compatible, 10x Throughput, Low Latency.

Answered from the vendors’ own pages

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.

ScyllaDB: How is ScyllaDB Cloud pricing calculated?

ScyllaDB Cloud uses transparent, resource-based billing based on instance type (vCPU and RAM), NVMe SSD storage, service plan tier, deployment model, and cloud provider 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.

ScyllaDB: Does ScyllaDB offer a free trial?

ScyllaDB offers a 30-day developer trial on smaller instances and a 48-hour production evaluation trial with full-grade instances.

Source
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.

ScyllaDB: What cost savings are available for long-term ScyllaDB commitments?

ScyllaDB subscription contracts provide up to 70% or more in savings compared to on-demand hourly billing. 1-year and 3-year contract options are available.

Source
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.

ScyllaDB: How much cheaper is ScyllaDB than DynamoDB?

Unlike DynamoDB which charges per read/write unit, ScyllaDB charges based on resource usage only, potentially delivering 50% or greater cost reduction for high-throughput workloads.

Source
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