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Databases · head to head

Apache Airflow vs mParticle

Apache Airflow logo

Apache Airflow

Databases

Programmatically author, schedule and monitor data workflows in Python

From
Free
Rated
-
Full reviewWebsite
mParticle logo

mParticle

Automation Integration

The customer data platform for multi-channel marketing

From
$500/month
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: Apache Airflow self-hosting is genuinely heavy: scheduler, metadata database, workers and executor choice are a standing operational job; mParticle no pricing is published at any level, and the page offers only a pricing request or a sales conversation
  • They diverge on capability: Apache Airflow covers Pipelines as Python, mParticle covers Data collection.

Where they differ

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

Attributes where Apache Airflow and mParticle differ
AttributeApache AirflowmParticle
Starting priceFree$500/month
Pricing modelOpen source, no licence fee; managed services billed separatelyusage-based
Free tierYesNo
PlatformsLinux, Docker, Kubernetes, Self-hostedWeb, Mobile
CategoryDatabasesAutomation Integration
FoundedUnknown2013

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

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 mParticle

  • Data collection
  • Audience building
  • Segmentation
  • Data governance
  • Real-time sync
  • Privacy management
  • Analytics
  • 100+ integrations

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

mParticle

  • Collecting customer event data once and routing it to many destinationsnot Apache Airflow
  • Building a customer data platform across web, mobile and server sourcesnot 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

mParticle

  • No pricing is published at any level, and the page offers only a pricing request or a sales conversation
  • No free tier, minimum commitment or cost driver is stated anywhere on the pricing page

Pricing, plan by plan

Apache Airflow

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

mParticle

$500/month
  • Starter$500/month
    • Basic features
    • Email support
  • Professional$1500/month
    • Advanced features
    • Priority support
  • Enterprise$5000/month
    • Custom solutions
    • Dedicated support

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 mParticle if

  • You need data collection.
  • You work on Web, Mobile.
  • You also want audience building.
mParticle review

Questions people ask

Is Apache Airflow or mParticle better?
Neither clearly leads. Apache Airflow starts at Free and mParticle at $500/month, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Airflow or mParticle?
Apache Airflow has a free tier; the other does not. Paid plans start at Free for Apache Airflow and $500/month for mParticle.
Does Apache Airflow or mParticle run on more platforms?
Apache Airflow runs on Linux, Docker, Kubernetes, Self-hosted. mParticle runs on Web, Mobile.
Can I use Apache Airflow for free?
Yes. Apache Airflow has a free tier, so you can try it without paying. mParticle starts at $500/month.
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 mParticle is typically brought in for.
What can Apache Airflow do that mParticle cannot?
Apache Airflow covers Pipelines as Python, Web UI, Cloud provider packages, Jinja templating. mParticle covers Data collection, Audience building, Segmentation, Data governance.

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.

mParticle: How much does mParticle cost?

mParticle does not publish pricing on its website. The pricing page directs customers to request a quote or contact the sales team through their contact forms.

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.

mParticle: What is mParticle's pricing model?

mParticle uses a quote-based pricing model. Interested customers can request pricing information through the contact form, but specific rates and billing options are not publicly disclosed.

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.

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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