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Databases · head to head

Apache Airflow vs Neo4j

Apache Airflow logo

Apache Airflow

Databases

Programmatically author, schedule and monitor data workflows in Python

From
Free
Rated
-
Full reviewWebsite
Neo4j logo

Neo4j

Databases

The world's leading graph database

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; Neo4j auraDB Free has no service availability SLA, no backups and no point-in-time recovery
  • They diverge on capability: Apache Airflow covers Pipelines as Python, Neo4j covers Native Graph Storage.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Apache Airflow and Neo4j actually diverge.

Attributes where Apache Airflow and Neo4j differ
AttributeApache AirflowNeo4j
Pricing modelOpen source, no licence fee; managed services billed separatelyfreemium
PlatformsLinux, Docker, Kubernetes, Self-hostedLinux, Windows, Mac, Docker, Web
FoundedUnknown2007

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 Neo4j

  • Native Graph Storage
  • Cypher Query Language
  • ACID Transactions
  • High Availability
  • Graph Data Science
  • Full-text Search
  • Native Indexes
  • GraphQL

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 Neo4j
  • Coordinating machine learning training and evaluation runsnot Neo4j
  • Orchestrating dbt runs alongside extraction and loadingnot Neo4j
  • Replacing a sprawl of cron jobs with dependencies and visible run historynot Neo4j

Neo4j

  • Graph database for learning and explorationnot Apache Airflow
  • Production workloads requiring high availability and multi-zone redundancynot Apache Airflow
  • Enterprise deployments needing custom infrastructurenot 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

Neo4j

  • AuraDB Free has no service availability SLA, no backups and no point-in-time recovery
  • AuraDB Free imposes limits on node and relationship counts and runs single-zone only
  • SSO authentication and role-based access control are excluded from AuraDB Free and AuraDB Professional, starting only at Business Critical at $146 per GB per month with a 2GB minimum cluster
  • AuraDB Professional starts at $65 per GB per month with a minimum 1GB cluster and caps at 128GB memory per instance
  • AuraDB Professional backups are daily with only 7-day retention, against 30 days on Business Critical
  • Customer managed keys and private endpoints are available only on AuraDB Virtual Dedicated Cloud, which is quote only with no published price
  • Change data capture, query log forwarding, secondaries and access to Neo4j Professional Services are excluded below the Business Critical tier
  • Support on AuraDB Free is community only and AuraDB Professional is best effort, with 24x7 one-hour response starting at Business Critical
  • AuraDB Virtual Dedicated Cloud is sold on prepaid contract terms with enterprise commercial negotiation rather than self-serve card payment

Pricing, plan by plan

Apache Airflow

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

Neo4j

Free
  • FreeFree
    • Learning and exploration access
    • No credit card required
    • All graph tools included
  • AuraDB Professional$65/GB/month
    • 1GB minimum cluster
    • Hourly billing available ($0.09/hour for 1GB)
    • Daily backups with 7-day retention
  • AuraDB Business Critical$146/GB/month
    • 2GB minimum cluster
    • Hourly billing available ($0.40/hour for 2GB)
    • Up to 512GB maximum
  • Virtual Dedicated Cloud$null/custom
    • Custom pricing via sales contact
    • Dedicated VPC infrastructure
    • Hourly backups with 60-day retention

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 Neo4j if

  • You need native graph storage.
  • You want to start without paying.
  • You work on Linux, Windows, Mac, Docker, Web.
  • You also want cypher query language.
Neo4j review

Questions people ask

Is Apache Airflow or Neo4j better?
Neither clearly leads. Apache Airflow starts at Free and Neo4j at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Airflow or Neo4j?
Apache Airflow starts at Free and Neo4j at Free.
Does Apache Airflow or Neo4j run on more platforms?
Apache Airflow runs on Linux, Docker, Kubernetes, Self-hosted. Neo4j runs on Linux, Windows, Mac, Docker, 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 Neo4j is typically brought in for.
What can Apache Airflow do that Neo4j cannot?
Apache Airflow covers Pipelines as Python, Web UI, Cloud provider packages, Jinja templating. Neo4j covers Native Graph Storage, Cypher Query Language, ACID Transactions, High Availability.

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.

Neo4j: Is Neo4j free?

Neo4j offers a free tier (AuraDB Free) for learning and exploration with no credit card required. Community Edition is also free and GPL3-licensed. Paid tiers start at $65/GB per month for AuraDB Professional.

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.

Neo4j: What does Neo4j's Professional tier include?

AuraDB Professional costs $65/GB per month with a 1GB minimum cluster, includes daily backups with 7-day retention, single-zone availability, and best-effort support. Hourly billing is available at $0.09/hour per GB.

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.

Neo4j: What is Neo4j's most advanced pricing tier?

AuraDB Business Critical costs $146/GB per month with a 2GB minimum and includes multi-zone redundancy, 99.95% uptime SLA, 24/7 premium support with one-hour response times, and point-in-time recovery.

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.

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